diff --git a/.github/workflows/CI.yml b/.github/workflows/CI.yml
index 212e14e40e..51f2edfe72 100644
--- a/.github/workflows/CI.yml
+++ b/.github/workflows/CI.yml
@@ -229,6 +229,7 @@ jobs:
         pip install pytest-benchmark==4.0.0
         make install-iconv
         echo "\$(eval \$(call add-path,/usr/lib/x86_64-linux-gnu/hdf5/serial/))" >> Makefile.paths
+        mkdir -p benchmark_v2/data
     - name: Install Chapel frontend bindings
       run: |
         (cd $CHPL_HOME/tools/chapel-py && python3 -m pip install .)
diff --git a/.gitignore b/.gitignore
index 2ec97a4262..6d546cc0fe 100644
--- a/.gitignore
+++ b/.gitignore
@@ -46,3 +46,6 @@ arkouda/*.pyi
 arkouda/numpy/*.pyi
 arkouda/scipy/*.pyi
 arkouda/scipy/stats/*.pyi
+benchmark_v2/data/*
+benchmark_v2/datdir/*.dat
+benchmark_v2/datdir/html/*
diff --git a/Makefile b/Makefile
index 5244afb2fa..c6737cb513 100644
--- a/Makefile
+++ b/Makefile
@@ -581,9 +581,15 @@ test-clean:
 	$(RM) $(TEST_TARGETS) $(addsuffix _real,$(TEST_TARGETS))
 
 size_bm = 10**8
+DATE := $(shell date '+%Y_%m_%d_%H_%M_%S')
+out=benchmark_v2/data/benchmark_stats_$(DATE).json
 .PHONY: benchmark
 benchmark:
-	python3 -m pytest -c benchmark.ini --benchmark-autosave --benchmark-storage=file://benchmark_v2/.benchmarks --size=$(size_bm)
+	mkdir -p benchmark_v2/data
+	python3 -m pytest -c benchmark.ini --benchmark-autosave --benchmark-storage=file://benchmark_v2/.benchmarks --size=$(size_bm) --benchmark-json=$(out)
+	python3 benchmark_v2/reformat_benchmark_results.py --benchmark-data $(out)
+
+	
 
 version:
 	@echo $(VERSION);
diff --git a/benchmark_v2/aggregate_benchmark.py b/benchmark_v2/aggregate_benchmark.py
index 7e94dc0db4..5557837323 100644
--- a/benchmark_v2/aggregate_benchmark.py
+++ b/benchmark_v2/aggregate_benchmark.py
@@ -27,7 +27,7 @@ def run_agg(g, vals, op):
 @pytest.mark.skip_correctness_only(True)
 @pytest.mark.benchmark(group="GroupBy.aggregate")
 @pytest.mark.parametrize("op", ak.GroupBy.Reductions)
-def bench_aggs(benchmark, op):
+def bench_aggregate(benchmark, op):
     if op in ["any", "all"]:
         g, vals = setup_agg("bool")
     else:
diff --git a/benchmark_v2/argsort_benchmark.py b/benchmark_v2/argsort_benchmark.py
index 9dd53fcb4e..697ac48ff3 100644
--- a/benchmark_v2/argsort_benchmark.py
+++ b/benchmark_v2/argsort_benchmark.py
@@ -5,7 +5,7 @@
 
 TYPES = ("int64", "uint64", "float64", "str")
 
-
+@pytest.mark.benchmark(group="arkouda_argsort")
 @pytest.mark.skip_correctness_only(True)
 @pytest.mark.parametrize("dtype", TYPES)
 def bench_argsort(benchmark, dtype):
@@ -40,7 +40,7 @@ def bench_argsort(benchmark, dtype):
             (nbytes / benchmark.stats["mean"]) / 2**30
         )
 
-
+@pytest.mark.benchmark(group="numpy_argsort")
 @pytest.mark.skip_numpy(False)
 @pytest.mark.skip_correctness_only(True)
 @pytest.mark.parametrize("dtype", TYPES)
diff --git a/benchmark_v2/datdir/configs/field_lookup_map.json b/benchmark_v2/datdir/configs/field_lookup_map.json
new file mode 100644
index 0000000000..ace252e6a6
--- /dev/null
+++ b/benchmark_v2/datdir/configs/field_lookup_map.json
@@ -0,0 +1 @@
+{"argsort": {"Average rate =": {"group": "", "name": "bench_argsort", "benchmark_name": "argsort", "lookup_path": ["extra_info", "transfer_rate"], "lookup_regex": "bench_argsort\\[[\\w\\d]*\\]"}, "Average time =": {"group": "", "name": "bench_argsort", "benchmark_name": "argsort", "lookup_path": ["stats", "mean"], "lookup_regex": "bench_argsort\\[[\\w\\d]*\\]"}}, "coargsort": {"Average rate =": {"group": "", "name": "bench_coargsort", "benchmark_name": "coargsort", "lookup_path": ["extra_info", "transfer_rate"], "lookup_regex": "bench_coargsort\\[[\\w\\d]*\\]"}, "Average time =": {"group": "", "name": "bench_coargsort", "benchmark_name": "coargsort", "lookup_path": ["stats", "mean"], "lookup_regex": "bench_coargsort\\[[\\w\\d]*\\]"}, "1-array Average rate =": {"group": "Arkouda_CoArgSort", "name": "", "benchmark_name": "coargsort", "lookup_path": ["extra_info", "transfer_rate"], "lookup_regex": "bench_coargsort\\[[\\w\\d]*-1\\]"}, "1-array Average time =": {"group": "Arkouda_CoArgSort", "name": "", "benchmark_name": "coargsort", "lookup_path": ["stats", "mean"], "lookup_regex": "bench_coargsort\\[[\\w\\d]*-1\\]"}, "2-array Average rate =": {"group": "Arkouda_CoArgSort", "name": "", "benchmark_name": "coargsort", "lookup_path": ["extra_info", "transfer_rate"], "lookup_regex": "bench_coargsort\\[[\\w\\d]*-2\\]"}, "2-array Average time =": {"group": "Arkouda_CoArgSort", "name": "", "benchmark_name": "coargsort", "lookup_path": ["stats", "mean"], "lookup_regex": "bench_coargsort\\[[\\w\\d]*-2\\]"}, "8-array Average rate =": {"group": "Arkouda_CoArgSort", "name": "", "benchmark_name": "coargsort", "lookup_path": ["extra_info", "transfer_rate"], "lookup_regex": "bench_coargsort\\[[\\w\\d]*-8\\]"}, "8-array Average time =": {"group": "Arkouda_CoArgSort", "name": "", "benchmark_name": "coargsort", "lookup_path": ["stats", "mean"], "lookup_regex": "bench_coargsort\\[[\\w\\d]*-8\\]"}, "16-array Average rate =": {"group": "Arkouda_CoArgSort", "name": "", "benchmark_name": "coargsort", "lookup_path": ["extra_info", "transfer_rate"], "lookup_regex": "bench_coargsort\\[[\\w\\d]*-16\\]"}, "16-array Average time =": {"group": "Arkouda_CoArgSort", "name": "", "benchmark_name": "coargsort", "lookup_path": ["stats", "mean"], "lookup_regex": "bench_coargsort\\[[\\w\\d]*-16\\]"}}, "aggregate": {"Average rate =": {"group": "", "name": "bench_aggregate", "benchmark_name": "aggregate", "lookup_path": ["extra_info", "transfer_rate"], "lookup_regex": "bench_aggregate\\[[\\w\\d]*\\]"}, "Average time =": {"group": "", "name": "bench_aggregate", "benchmark_name": "aggregate", "lookup_path": ["stats", "mean"], "lookup_regex": "bench_aggregate\\[[\\w\\d]*\\]"}, "Aggregate prod Average rate =": {"group": "GroupBy.aggregate", "name": "bench_aggregate[prod]", "benchmark_name": "aggregate", "lookup_path": ["extra_info", "transfer_rate"], "lookup_regex": ""}, "Aggregate prod Average time =": {"group": "GroupBy.aggregate", "name": "bench_aggregate[prod]", "benchmark_name": "aggregate", "lookup_path": ["stats", "mean"], "lookup_regex": ""}, "Aggregate sum Average rate =": {"group": "GroupBy.aggregate", "name": "bench_aggregate[sum]", "benchmark_name": "aggregate", "lookup_path": ["extra_info", "transfer_rate"], "lookup_regex": ""}, "Aggregate sum Average time =": {"group": "GroupBy.aggregate", "name": "bench_aggregate[sum]", "benchmark_name": "aggregate", "lookup_path": ["stats", "mean"], "lookup_regex": ""}, "Aggregate mean Average rate =": {"group": "GroupBy.aggregate", "name": "bench_aggregate[mean]", "benchmark_name": "aggregate", "lookup_path": ["extra_info", "transfer_rate"], "lookup_regex": ""}, "Aggregate mean Average time =": {"group": "GroupBy.aggregate", "name": "bench_aggregate[mean]", "benchmark_name": "aggregate", "lookup_path": ["stats", "mean"], "lookup_regex": ""}, "Aggregate min Average rate =": {"group": "GroupBy.aggregate", "name": "bench_aggregate[min]", "benchmark_name": "aggregate", "lookup_path": ["extra_info", "transfer_rate"], "lookup_regex": ""}, "Aggregate min Average time =": {"group": "GroupBy.aggregate", "name": "bench_aggregate[min]", "benchmark_name": "aggregate", "lookup_path": ["stats", "mean"], "lookup_regex": ""}, "Aggregate max Average rate =": {"group": "GroupBy.aggregate", "name": "bench_aggregate[max]", "benchmark_name": "aggregate", "lookup_path": ["extra_info", "transfer_rate"], "lookup_regex": ""}, "Aggregate max Average time =": {"group": "GroupBy.aggregate", "name": "bench_aggregate[max]", "benchmark_name": "aggregate", "lookup_path": ["stats", "mean"], "lookup_regex": ""}, "Aggregate argmin Average rate =": {"group": "GroupBy.aggregate", "name": "bench_aggregate[argmin]", "benchmark_name": "aggregate", "lookup_path": ["extra_info", "transfer_rate"], "lookup_regex": ""}, "Aggregate argmin Average time =": {"group": "GroupBy.aggregate", "name": "bench_aggregate[argmin]", "benchmark_name": "aggregate", "lookup_path": ["stats", "mean"], "lookup_regex": ""}, "Aggregate argmax Average rate =": {"group": "GroupBy.aggregate", "name": "bench_aggregate[argmax]", "benchmark_name": "aggregate", "lookup_path": ["extra_info", "transfer_rate"], "lookup_regex": ""}, "Aggregate argmax Average time =": {"group": "GroupBy.aggregate", "name": "bench_aggregate[argmax]", "benchmark_name": "aggregate", "lookup_path": ["stats", "mean"], "lookup_regex": ""}, "Aggregate any Average rate =": {"group": "GroupBy.aggregate", "name": "bench_aggregate[any]", "benchmark_name": "aggregate", "lookup_path": ["extra_info", "transfer_rate"], "lookup_regex": ""}, "Aggregate any Average time =": {"group": "GroupBy.aggregate", "name": "bench_aggregate[any]", "benchmark_name": "aggregate", "lookup_path": ["stats", "mean"], "lookup_regex": ""}, "Aggregate all Average rate =": {"group": "GroupBy.aggregate", "name": "bench_aggregate[all]", "benchmark_name": "aggregate", "lookup_path": ["extra_info", "transfer_rate"], "lookup_regex": ""}, "Aggregate all Average time =": {"group": "GroupBy.aggregate", "name": "bench_aggregate[all]", "benchmark_name": "aggregate", "lookup_path": ["stats", "mean"], "lookup_regex": ""}, "Aggregate xor Average rate =": {"group": "GroupBy.aggregate", "name": "bench_aggregate[xor]", "benchmark_name": "aggregate", "lookup_path": ["extra_info", "transfer_rate"], "lookup_regex": ""}, "Aggregate xor Average time =": {"group": "GroupBy.aggregate", "name": "bench_aggregate[xor]", "benchmark_name": "aggregate", "lookup_path": ["stats", "mean"], "lookup_regex": ""}, "Aggregate and Average rate =": {"group": "GroupBy.aggregate", "name": "bench_aggregate[and]", "benchmark_name": "aggregate", "lookup_path": ["extra_info", "transfer_rate"], "lookup_regex": ""}, "Aggregate and Average time =": {"group": "GroupBy.aggregate", "name": "bench_aggregate[and]", "benchmark_name": "aggregate", "lookup_path": ["stats", "mean"], "lookup_regex": ""}, "Aggregate or Average rate =": {"group": "GroupBy.aggregate", "name": "bench_aggregate[or]", "benchmark_name": "aggregate", "lookup_path": ["extra_info", "transfer_rate"], "lookup_regex": ""}, "Aggregate or Average time =": {"group": "GroupBy.aggregate", "name": "bench_aggregate[or]", "benchmark_name": "aggregate", "lookup_path": ["stats", "mean"], "lookup_regex": ""}, "Aggregate nunique Average rate =": {"group": "GroupBy.aggregate", "name": "bench_aggregate[nunique]", "benchmark_name": "aggregate", "lookup_path": ["extra_info", "transfer_rate"], "lookup_regex": ""}, "Aggregate nunique Average time =": {"group": "GroupBy.aggregate", "name": "bench_aggregate[nunique]", "benchmark_name": "aggregate", "lookup_path": ["stats", "mean"], "lookup_regex": ""}}}
\ No newline at end of file
diff --git a/benchmark_v2/graph_infra/GRAPHLIST b/benchmark_v2/graph_infra/GRAPHLIST
new file mode 100644
index 0000000000..1265d25929
--- /dev/null
+++ b/benchmark_v2/graph_infra/GRAPHLIST
@@ -0,0 +1,10 @@
+# suite: Benchmarks
+arkouda.graph
+# suite: String Benchmarks
+arkouda-string.graph
+# suite: Build Stats
+arkouda-comp.graph
+# suite: Sort Cases
+arkouda-sort-cases.graph
+# suite: Bigint Benchmarks
+arkouda-bigint.graph
\ No newline at end of file
diff --git a/benchmark_v2/graph_infra/IO.perfkeys b/benchmark_v2/graph_infra/IO.perfkeys
new file mode 100644
index 0000000000..7a58e398d0
--- /dev/null
+++ b/benchmark_v2/graph_infra/IO.perfkeys
@@ -0,0 +1,4 @@
+write Average time HDF5 =
+write Average rate HDF5 =
+read Average time HDF5 =
+read Average rate HDF5 =
\ No newline at end of file
diff --git a/benchmark_v2/graph_infra/README.md b/benchmark_v2/graph_infra/README.md
new file mode 100644
index 0000000000..218020e56d
--- /dev/null
+++ b/benchmark_v2/graph_infra/README.md
@@ -0,0 +1,16 @@
+This directory contains infrastructure required by the Chapel graphing scripts
+
+- .perfkeys files contain the strings to search for in benchmark output. These
+  keys are then stored in .dat files.
+- .graph files contain the graph information (title, perfkeys, graphkeys, .dat
+  file)
+- The GRAPHFILE file is a meta file that lists the .graph files
+
+Benchmark output and a .perfkey file is used by `computePerfStats` to create or
+append to a .dat file. `genGraphs` then takes the .dat files and the meta
+information in the .graph file to generate interactive graphs. To view the
+graphs locally you can do:
+
+    cd benchmark_v2/datdir/html
+    python3 -m http.server 8000
+    open http://localhost:8000/ (or navigate to localhost:8000 in your browser)
diff --git a/benchmark_v2/graph_infra/aggregate.perfkeys b/benchmark_v2/graph_infra/aggregate.perfkeys
new file mode 100644
index 0000000000..f9516809c8
--- /dev/null
+++ b/benchmark_v2/graph_infra/aggregate.perfkeys
@@ -0,0 +1,25 @@
+Aggregate sum Average rate =
+Aggregate prod Average rate =
+Aggregate mean Average rate =
+Aggregate min Average rate =
+Aggregate max Average rate =
+Aggregate argmin Average rate =
+Aggregate argmax Average rate =
+Aggregate any Average rate =
+Aggregate all Average rate =
+Aggregate xor Average rate =
+Aggregate and Average rate =
+Aggregate or Average rate =
+Aggregate nunique Average rate =
+Aggregate sum Average time =
+Aggregate prod Average time =
+Aggregate min Average time =
+Aggregate max Average time =
+Aggregate argmin Average time =
+Aggregate argmax Average time =
+Aggregate any Average time =
+Aggregate all Average time =
+Aggregate xor Average time =
+Aggregate and Average time =
+Aggregate or Average time =
+Aggregate nunique Average time =
diff --git a/benchmark_v2/graph_infra/arkouda-bigint.graph b/benchmark_v2/graph_infra/arkouda-bigint.graph
new file mode 100644
index 0000000000..2cf144c676
--- /dev/null
+++ b/benchmark_v2/graph_infra/arkouda-bigint.graph
@@ -0,0 +1,29 @@
+perfkeys: bigint_from_uint_arrays Average rate =, bigint_to_uint_arrays Average rate =
+graphkeys: bigint_from_uint_arrays GiB/s, bigint_to_uint_arrays GiB/s
+files: bigint_conversion.dat, bigint_conversion.dat
+graphtitle: Bigint Conversion Performance
+ylabel: Performance (GiB/s)
+
+perfkeys: Average bigint stream rate =
+graphkeys: bigint stream GiB/s
+files: bigint_stream.dat
+graphtitle: Bigint Stream Performance
+ylabel: Performance (GiB/s)
+
+perfkeys: Average bigint AND rate =, Average bigint OR rate =, Average bigint SHIFT rate =
+graphkeys: bigint AND GiB/s, bigint OR GiB/s, bigint SHIFT GiB/s
+files: bigint_bitwise_binops.dat, bigint_bitwise_binops.dat, bigint_bitwise_binops.dat
+graphtitle: Bigint Bitwise Binops Performance
+ylabel: Performance (GiB/s)
+
+perfkeys: 1-array Average rate =, 2-array Average rate =, 8-array Average rate =, 16-array Average rate =
+graphkeys: 1 array Groupby GiB/s, 2 array Groupby GiB/s, 8 array Groupby GiB/s, 16 array Groupby GiB/s
+files: bigint_groupby.dat, bigint_groupby.dat, bigint_groupby.dat, bigint_groupby.dat
+graphtitle: Bigint Groupby Performance
+ylabel: Performance (GiB/S)
+
+perfkeys: to_ndarray Average rate =, ak.array Average rate =
+graphkeys: to_ndarray GiB/s, ak.array GiB/s
+files: bigint_array_transfer.dat, bigint_array_transfer.dat
+graphtitle: Bigint Array Transfer Performance
+ylabel: Performance (GiB/S)
diff --git a/benchmark_v2/graph_infra/arkouda-comp.graph b/benchmark_v2/graph_infra/arkouda-comp.graph
new file mode 100644
index 0000000000..a206f36060
--- /dev/null
+++ b/benchmark_v2/graph_infra/arkouda-comp.graph
@@ -0,0 +1,11 @@
+perfkeys: total time :
+graphkeys: Compile Time
+files: comp-time.dat
+graphtitle: Build Time
+ylabel: Time (sec)
+
+perfkeys: Statements emitted:
+graphkeys: Statements Emitted
+files: emitted-code-size.dat
+graphtitle:  Emitted Code Size
+ylabel: Statements
diff --git a/benchmark_v2/graph_infra/arkouda-sort-cases.graph b/benchmark_v2/graph_infra/arkouda-sort-cases.graph
new file mode 100644
index 0000000000..804a9d284f
--- /dev/null
+++ b/benchmark_v2/graph_infra/arkouda-sort-cases.graph
@@ -0,0 +1,41 @@
+perfkeys: uniform int64 16-bit RadixSortLSD average rate =, uniform int64 32-bit RadixSortLSD average rate =, uniform int64 64-bit RadixSortLSD average rate =, uniform float64 RadixSortLSD average rate =, uniform int64 16-bit TwoArrayRadixSort average rate =, uniform int64 32-bit TwoArrayRadixSort average rate =, uniform int64 64-bit TwoArrayRadixSort average rate =, uniform float64 TwoArrayRadixSort average rate =
+graphkeys: 16-bit LSD, 32-bit LSD, 64-bit LSD, float64 LSD, 16-bit MSD, 32-bit MSD, 64-bit MSD, float64 MSD
+files: sort-cases.dat, sort-cases.dat, sort-cases.dat, sort-cases.dat, sort-cases.dat, sort-cases.dat, sort-cases.dat, sort-cases.dat
+graphtitle: Uniformly Distributed Data
+ylabel: Performance (GiB/s)
+
+perfkeys: power-law int64 RadixSortLSD average rate =, power-law float64 RadixSortLSD average rate =, power-law int64 TwoArrayRadixSort average rate =, power-law float64 TwoArrayRadixSort average rate =
+graphkeys: int64 32-bit LSD, float64 LSD, int64 32-bit MSD, float64 MSD
+files: sort-cases.dat, sort-cases.dat, sort-cases.dat, sort-cases.dat
+graphtitle: Power-Law Distributed Data
+ylabel: Performance (GiB/s)
+
+perfkeys: RMAT int64 RadixSortLSD average rate =, RMAT int64 TwoArrayRadixSort average rate =
+graphkeys: RMAT int64 LSD, RMAT int64 MSD
+files: sort-cases.dat, sort-cases.dat
+graphtitle: RMAT-Generated Edges (coargsort)
+ylabel: Performance (GiB/s)
+
+perfkeys: block-sorted concat int64 RadixSortLSD average rate =, block-sorted interleaved int64 RadixSortLSD average rate =, block-sorted concat int64 TwoArrayRadixSort average rate =, block-sorted interleaved int64 TwoArrayRadixSort average rate =
+graphkeys: concatenated 32-bit LSD, interleaved 32-bit LSD, concatenated 32-bit MSD, interleaved 32-bit MSD
+files: sort-cases.dat, sort-cases.dat, sort-cases.dat, sort-cases.dat
+graphtitle: Combinations of Sorted Arrays
+ylabel: Performance (GiB/s)
+
+perfkeys: refinement int64 RadixSortLSD average rate =, refinement int64 TwoArrayRadixSort average rate =
+graphkeys: 2*int64 LSD, 2*int64 MSD
+files: sort-cases.dat, sort-cases.dat
+graphtitle: Refinement of Sorted Array with an Unsorted Array (coargsort)
+ylabel: Performance (GiB/s)
+
+perfkeys: datetime64[ns] RadixSortLSD average rate =, datetime64[ns] TwoArrayRadixSort average rate =
+graphkeys: datetime64[ns] LSD, datetime64[ns] MSD
+files: sort-cases.dat, sort-cases.dat
+graphtitle: Simulated Timestamps with 1-Second Precision Stored as datetime64[ns]
+ylabel: Performance (GiB/s)
+
+perfkeys: IP-like 2*int64 RadixSortLSD average rate =, IP-like 2*int64 TwoArrayRadixSort average rate =
+graphkeys: IP-like LSD, IP-like MSD
+files: sort-cases.dat, sort-cases.dat
+graphtitle: Simulated 90/10 Mix of IPv4/IPv6 Addresses (cargsort)
+ylabel: Performance (GiB/s)
diff --git a/benchmark_v2/graph_infra/arkouda-string.graph b/benchmark_v2/graph_infra/arkouda-string.graph
new file mode 100644
index 0000000000..ef29bbc3f3
--- /dev/null
+++ b/benchmark_v2/graph_infra/arkouda-string.graph
@@ -0,0 +1,59 @@
+perfkeys: Average rate =
+graphkeys: Argsort GiB/s
+files: str-argsort.dat
+graphtitle: String Argsort Performance
+ylabel: Performance (GiB/s)
+
+perfkeys: 1-array Average rate =, 2-array Average rate =, 8-array Average rate =, 16-array Average rate =
+graphkeys: 1 array Coargsort GiB/s, 2 array Coargsort GiB/s, 8 array Coargsort GiB/s, 16 array Coargsort GiB/s
+files: str-coargsort.dat, str-coargsort.dat, str-coargsort.dat, str-coargsort.dat
+graphtitle: String Coargsort Performance
+ylabel: Performance (GiB/S)
+
+perfkeys: 1-array Average rate =, 2-array Average rate =, 8-array Average rate =, 16-array Average rate =
+graphkeys: 1 array Groupby GiB/s, 2 array Groupby GiB/s, 8 array Groupby GiB/s, 16 array Groupby GiB/s
+files: str-groupby.dat, str-groupby.dat, str-groupby.dat, str-groupby.dat
+graphtitle: String Groupby Performance
+ylabel: Performance (GiB/S)
+
+perfkeys: small str array Average rate =, medium str array Average rate =, big str array Average rate =
+graphkeys: small str array GiB/s, medium str array GiB/s, big str array GiB/s
+files: small-str-groupby.dat, small-str-groupby.dat, small-str-groupby.dat
+graphtitle: Small String Groupby Performance
+ylabel: Performance (GiB/s)
+
+perfkeys: Average rate =
+graphkeys: Gather GiB/s
+files: str-gather.dat
+graphtitle: String Gather Performance
+ylabel: Performance (GiB/s)
+
+perfkeys: Medium average rate =, Large average rate =
+graphkeys: Medium GiB/s, Large GiB/s
+files: str-in1d.dat, str-in1d.dat
+graphtitle: String in1d Performance
+ylabel: Performance (GiB/s)
+
+perfkeys: Hashing good locality Average rate =, Hashing poor locality Average rate =
+graphkeys: Good Locality, Poor Locality
+files: str-locality.dat, str-locality.dat
+graphtitle: String Hashing Performance
+ylabel: Performance (GiB/s)
+
+perfkeys: Regex searching good locality Average rate =, Regex searching poor locality Average rate =
+graphkeys: Good Locality, Poor Locality
+files: str-locality.dat, str-locality.dat
+graphtitle: String Regex Search Performance
+ylabel: Performance (GiB/s)
+
+perfkeys: Casting good locality Average rate =, Casting poor locality Average rate =
+graphkeys: Good Locality, Poor Locality
+files: str-locality.dat, str-locality.dat
+graphtitle: String cast-to-float Performance
+ylabel: Performance (GiB/s)
+
+perfkeys: Comparing to scalar good locality Average rate =, Comparing to scalar poor locality Average rate =
+graphkeys: Good Locality, Poor Locality
+files: str-locality.dat, str-locality.dat
+graphtitle: String compare-vs-scalar Performance
+ylabel: Performance (GiB/s)
diff --git a/benchmark_v2/graph_infra/arkouda.graph b/benchmark_v2/graph_infra/arkouda.graph
new file mode 100644
index 0000000000..d6d31cb489
--- /dev/null
+++ b/benchmark_v2/graph_infra/arkouda.graph
@@ -0,0 +1,149 @@
+perfkeys: Average rate =
+graphkeys: Stream GiB/s
+files: stream.dat
+graphtitle: Stream Performance
+ylabel: Performance (GiB/s)
+
+perfkeys: Average rate =
+graphkeys: Argsort GiB/s
+files: argsort.dat
+graphtitle: Argsort Performance
+ylabel: Performance (GiB/s)
+
+perfkeys: 1-array Average rate =, 2-array Average rate =, 8-array Average rate =, 16-array Average rate =
+graphkeys: 1 array Coargsort GiB/s, 2 array Coargsort GiB/s, 8 array Coargsort GiB/s, 16 array Coargsort GiB/s
+files: coargsort.dat, coargsort.dat, coargsort.dat, coargsort.dat
+graphtitle: Coargsort Performance
+ylabel: Performance (GiB/s)
+
+perfkeys: 1-array Average rate =, 2-array Average rate =, 8-array Average rate =, 16-array Average rate =
+graphkeys: 1 array Groupby GiB/s, 2 array Groupby GiB/s, 8 array Groupby GiB/s, 16 array Groupby GiB/s
+files: groupby.dat, groupby.dat, groupby.dat, groupby.dat
+graphtitle: Groupby Performance
+ylabel: Performance (GiB/s)
+
+perfkeys: Aggregate sum Average rate =, Aggregate xor Average rate =, Aggregate and Average rate =, Aggregate or Average rate =, Aggregate mean Average rate =
+graphkeys: sum (GiB/s), xor (GiB/s), and (GiB/s), or (GiB/s), mean (GiB/s)
+files: aggregate.dat, aggregate.dat, aggregate.dat, aggregate.dat, aggregate.dat
+graphtitle: Grouped Aggregation Performance (Tier 1)
+ylabel: Performance (GiB/s)
+
+perfkeys: Aggregate min Average rate =, Aggregate max Average rate =, Aggregate argmin Average rate =, Aggregate argmax Average rate =, Aggregate prod Average rate =
+graphkeys: min (GiB/s), max (GiB/s), argmin (GiB/s), argmax (GiB/s), prod (GiB/s)
+files: aggregate.dat, aggregate.dat, aggregate.dat, aggregate.dat, aggregate.dat
+graphtitle: Grouped Aggregation Performance (Tier 2)
+ylabel: Performance (GiB/s)
+
+perfkeys: Aggregate any Average rate =, Aggregate all Average rate =, Aggregate nunique Average rate =
+graphkeys: any (GiB/s), all (GiB/s), nunique (GiB/s)
+files: aggregate.dat, aggregate.dat, aggregate.dat
+graphtitle: Grouped Aggregation Performance (Tier 3)
+ylabel: Performance (GiB/s)
+    
+perfkeys: Average rate =
+graphkeys: Gather GiB/s
+files: gather.dat
+graphtitle: Gather Performance
+ylabel: Performance (GiB/s)
+
+perfkeys: Average rate =
+graphkeys: Scatter GiB/s
+files: scatter.dat
+graphtitle: Scatter Performance
+ylabel: Performance (GiB/s)
+
+perfkeys: cumsum Average rate =, cumprod Average rate =
+graphkeys: Cumsum GiB/s, Cumprod GiB/s
+files: scan.dat, scan.dat
+graphtitle: Scan Performance
+ylabel: Performance (GiB/s)
+
+perfkeys: sum Average rate =, prod Average rate =, min Average rate =, max Average rate =
+graphkeys: Sum GiB/s, Prod GiB/s, Min GiB/s, Max GiB/s
+files: reduce.dat, reduce.dat, reduce.dat, reduce.dat
+graphtitle: Reduce Performance
+ylabel: Performance (GiB/s)
+
+perfkeys: Medium average rate =, Large average rate =
+graphkeys: Medium GiB/s, Large GiB/s
+files: in1d.dat, in1d.dat
+graphtitle: in1d Performance
+ylabel: Performance (GiB/s)
+
+perfkeys: intersect1d Average rate =, union1d Average rate =, setxor1d Average rate =, setdiff1d Average rate =
+graphkeys: Intersect GiB/s, Union GiB/s, Xor GiB/s, Diff GiB/s
+files: setops.dat, setops.dat, setops.dat, setops.dat
+graphtitle: Set Operations Performance
+ylabel: Performance (GiB/s)
+
+perfkeys: zeros Average rate =, ones Average rate =, randint Average rate =
+graphkeys: Zeros GiB/s, Ones GiB/s, Randint GiB/s
+files: array_create.dat, array_create.dat, array_create.dat
+graphtitle: Array Creation Performance
+ylabel: Performance (GiB/s)
+
+perfkeys: to_ndarray Average rate =, ak.array Average rate =
+graphkeys: to_ndarray GiB/s, ak.array GiB/s
+files: array_transfer.dat, array_transfer.dat
+graphtitle: Array Transfer Performance
+ylabel: Performance (GiB/s)
+
+perfkeys: write Average rate HDF5 =, read Average rate HDF5 =
+graphkeys: Write GiB/s, Read GiB/s
+files: IO.dat, IO.dat
+graphtitle: IO Performance
+ylabel: Performance (GiB/s)
+
+perfkeys: write Average rate HDF5 =, read Average rate HDF5 =
+graphkeys: Write GiB/s, Read GiB/s
+files: multiIO.dat, multiIO.dat
+graphtitle: HDF5 10 Files/Loc IO Performance
+ylabel: Performance (GiB/s)
+
+perfkeys: write Average rate none =, write Average rate snappy =, write Average rate gzip =, write Average rate brotli =, write Average rate zstd =, write Average rate lz4 =, read Average rate none =, read Average rate snappy =, read Average rate gzip =, read Average rate brotli =, read Average rate zstd =, read Average rate lz4 =
+graphkeys: Write no compression GiB/s, Write snappy GiB/s, Write gzip GiB/s, Write brotli GiB/s, Write zstd GiB/s, Write lz4 GiB/s, Read no compression GiB/s, Read snappy GiB/s, Read gzip GiB/s, Read brotli GiB/s, Read zstd GiB/s, Read lz4 GiB/s
+repeat-files: parquetIO.dat
+graphtitle: Parquet IO Performance
+ylabel: Performance (GiB/s)
+
+perfkeys: write Average rate none =, write Average rate snappy =, write Average rate gzip =, write Average rate brotli =, write Average rate zstd =, write Average rate lz4 =, read Average rate none =, read Average rate snappy =, read Average rate gzip =, read Average rate brotli =, read Average rate zstd =, read Average rate lz4 =
+graphkeys: Write no compression GiB/s, Write snappy GiB/s, Write gzip GiB/s, Write brotli GiB/s, Write zstd GiB/s, Write lz4 GiB/s, Read no compression GiB/s, Read snappy GiB/s, Read gzip GiB/s, Read brotli GiB/s, Read zstd GiB/s, Read lz4 GiB/s
+repeat-files: parquetMultiIO.dat
+graphtitle: Parquet 10 Files/Loc IO Performance
+ylabel: Performance (GiB/s)
+
+perfkeys: write Average rate CSV =, read Average rate CSV =
+graphkeys: Write GiB/s, Read GiB/s
+repeat-files: csvIO.dat
+graphtitle: CSV IO Performance
+ylabel: Performance (GiB/s)
+
+perfkeys: non-regex with literal substring Average rate =, regex with literal substring Average rate =, regex with pattern Average rate =
+graphkeys: non-regex with literal substring GiB/s, regex with literal substring GiB/s, regex with pattern GiB/s
+files: substring_search.dat, substring_search.dat, substring_search.dat
+graphtitle: Substring Search Performance
+ylabel: Performance (GiB/s)
+
+perfkeys: non-regex flatten with literal delimiter Average rate =, regex flatten with literal delimiter Average rate =, regex flatten with pattern delimiter Average rate =
+graphkeys: non-regex flatten with literal delimiter GiB/s, regex flatten with literal delimiter GiB/s, regex flatten with pattern delimiter GiB/s
+files: flatten.dat, flatten.dat, flatten.dat
+graphtitle: Flatten Performance
+ylabel: Performance (GiB/s)
+
+perfkeys: _get_head_tail_server Average time =, _get_head_tail Average time =
+graphkeys: _get_head_tail_server Average time s, _get_head_tail Average time s
+files: dataframe.dat, dataframe.dat
+graphtitle: DataFrame Display Performance
+ylabel: Time (Seconds)
+
+perfkeys: Average idna encode rate =, Average idna decode rate =, Average ascii encode rate =, Average ascii decode rate =
+graphkeys: idna encode GiB/s, idna decode GiB/s, ascii encode GiB/s, ascii decode GiB/s
+files: encode.dat, encode.dat, encode.dat, encode.dat
+graphtitle: Encode/Decode Performance
+ylabel: Performance (GiB/s)
+
+perfkeys: Average rate =
+graphkeys: Noop ops/s
+files: noop.dat
+graphtitle: Noop Performance
+ylabel: Performance (ops/s)
diff --git a/benchmark_v2/graph_infra/array_create.perfkeys b/benchmark_v2/graph_infra/array_create.perfkeys
new file mode 100644
index 0000000000..cb5589ecb7
--- /dev/null
+++ b/benchmark_v2/graph_infra/array_create.perfkeys
@@ -0,0 +1,6 @@
+zeros Average time =
+zeros Average rate =
+ones Average time =
+ones Average rate =
+randint Average time =
+randint Average rate =
diff --git a/benchmark_v2/graph_infra/array_transfer.perfkeys b/benchmark_v2/graph_infra/array_transfer.perfkeys
new file mode 100644
index 0000000000..d8adc0c0c9
--- /dev/null
+++ b/benchmark_v2/graph_infra/array_transfer.perfkeys
@@ -0,0 +1,4 @@
+to_ndarray Average time =
+to_ndarray Average rate =
+ak.array Average time =
+ak.array Average rate =
diff --git a/benchmark_v2/graph_infra/bigint_array_transfer.perfkeys b/benchmark_v2/graph_infra/bigint_array_transfer.perfkeys
new file mode 100644
index 0000000000..d8adc0c0c9
--- /dev/null
+++ b/benchmark_v2/graph_infra/bigint_array_transfer.perfkeys
@@ -0,0 +1,4 @@
+to_ndarray Average time =
+to_ndarray Average rate =
+ak.array Average time =
+ak.array Average rate =
diff --git a/benchmark_v2/graph_infra/bigint_bitwise_binops.perfkeys b/benchmark_v2/graph_infra/bigint_bitwise_binops.perfkeys
new file mode 100644
index 0000000000..ac72fe9c30
--- /dev/null
+++ b/benchmark_v2/graph_infra/bigint_bitwise_binops.perfkeys
@@ -0,0 +1,6 @@
+Average bigint AND time =
+Average bigint AND rate =
+Average bigint OR time =
+Average bigint OR rate =
+Average bigint SHIFT time =
+Average bigint SHIFT rate =
diff --git a/benchmark_v2/graph_infra/bigint_conversion.perfkeys b/benchmark_v2/graph_infra/bigint_conversion.perfkeys
new file mode 100644
index 0000000000..1b7bb53efc
--- /dev/null
+++ b/benchmark_v2/graph_infra/bigint_conversion.perfkeys
@@ -0,0 +1,4 @@
+bigint_from_uint_arrays Average time =
+bigint_from_uint_arrays Average rate =
+bigint_to_uint_arrays Average time =
+bigint_to_uint_arrays Average rate =
diff --git a/benchmark_v2/graph_infra/bigint_groupby.perfkeys b/benchmark_v2/graph_infra/bigint_groupby.perfkeys
new file mode 100644
index 0000000000..8ace5cd38a
--- /dev/null
+++ b/benchmark_v2/graph_infra/bigint_groupby.perfkeys
@@ -0,0 +1,8 @@
+1-array Average time =
+1-array Average rate =
+2-array Average time =
+2-array Average rate =
+8-array Average time =
+8-array Average rate =
+16-array Average time =
+16-array Average rate =
diff --git a/benchmark_v2/graph_infra/bigint_stream.perfkeys b/benchmark_v2/graph_infra/bigint_stream.perfkeys
new file mode 100644
index 0000000000..7e75908c69
--- /dev/null
+++ b/benchmark_v2/graph_infra/bigint_stream.perfkeys
@@ -0,0 +1,2 @@
+Average bigint stream time =
+Average bigint stream rate =
diff --git a/benchmark_v2/graph_infra/coargsort.perfkeys b/benchmark_v2/graph_infra/coargsort.perfkeys
new file mode 100644
index 0000000000..8ace5cd38a
--- /dev/null
+++ b/benchmark_v2/graph_infra/coargsort.perfkeys
@@ -0,0 +1,8 @@
+1-array Average time =
+1-array Average rate =
+2-array Average time =
+2-array Average rate =
+8-array Average time =
+8-array Average rate =
+16-array Average time =
+16-array Average rate =
diff --git a/benchmark_v2/graph_infra/comp-time.perfkeys b/benchmark_v2/graph_infra/comp-time.perfkeys
new file mode 100644
index 0000000000..2176642498
--- /dev/null
+++ b/benchmark_v2/graph_infra/comp-time.perfkeys
@@ -0,0 +1 @@
+total time :
diff --git a/benchmark_v2/graph_infra/csvIO.perfkeys b/benchmark_v2/graph_infra/csvIO.perfkeys
new file mode 100644
index 0000000000..6b3e1482f1
--- /dev/null
+++ b/benchmark_v2/graph_infra/csvIO.perfkeys
@@ -0,0 +1,4 @@
+write Average time CSV =
+write Average rate CSV =
+read Average time CSV =
+read Average rate CSV =
\ No newline at end of file
diff --git a/benchmark_v2/graph_infra/dataframe.perfkeys b/benchmark_v2/graph_infra/dataframe.perfkeys
new file mode 100644
index 0000000000..1aac236e14
--- /dev/null
+++ b/benchmark_v2/graph_infra/dataframe.perfkeys
@@ -0,0 +1,4 @@
+_get_head_tail_server Average time =
+_get_head_tail_server Average rate =
+_get_head_tail Average time =
+_get_head_tail Average rate =
\ No newline at end of file
diff --git a/benchmark_v2/graph_infra/emitted-code-size.perfkeys b/benchmark_v2/graph_infra/emitted-code-size.perfkeys
new file mode 100644
index 0000000000..883cf0bc52
--- /dev/null
+++ b/benchmark_v2/graph_infra/emitted-code-size.perfkeys
@@ -0,0 +1 @@
+Statements emitted:
diff --git a/benchmark_v2/graph_infra/encode.perfkeys b/benchmark_v2/graph_infra/encode.perfkeys
new file mode 100644
index 0000000000..c09495120c
--- /dev/null
+++ b/benchmark_v2/graph_infra/encode.perfkeys
@@ -0,0 +1,8 @@
+Average idna encode time =
+Average idna encode rate =
+Average ascii encode time =
+Average ascii encode rate =
+Average idna decode time =
+Average idna decode rate =
+Average ascii decode time =
+Average ascii decode rate =
\ No newline at end of file
diff --git a/benchmark_v2/graph_infra/flatten.perfkeys b/benchmark_v2/graph_infra/flatten.perfkeys
new file mode 100644
index 0000000000..6048f1fc2f
--- /dev/null
+++ b/benchmark_v2/graph_infra/flatten.perfkeys
@@ -0,0 +1,6 @@
+non-regex flatten with literal delimiter Average time =
+non-regex flatten with literal delimiter Average rate =
+regex flatten with literal delimiter Average time =
+regex flatten with literal delimiter Average rate =
+regex flatten with pattern delimiter Average time =
+regex flatten with pattern delimiter Average rate =
diff --git a/benchmark_v2/graph_infra/groupby.perfkeys b/benchmark_v2/graph_infra/groupby.perfkeys
new file mode 100644
index 0000000000..8ace5cd38a
--- /dev/null
+++ b/benchmark_v2/graph_infra/groupby.perfkeys
@@ -0,0 +1,8 @@
+1-array Average time =
+1-array Average rate =
+2-array Average time =
+2-array Average rate =
+8-array Average time =
+8-array Average rate =
+16-array Average time =
+16-array Average rate =
diff --git a/benchmark_v2/graph_infra/in1d.perfkeys b/benchmark_v2/graph_infra/in1d.perfkeys
new file mode 100644
index 0000000000..4811158832
--- /dev/null
+++ b/benchmark_v2/graph_infra/in1d.perfkeys
@@ -0,0 +1,4 @@
+Medium average time =
+Medium average rate =
+Large average time =
+Large average rate =
diff --git a/benchmark_v2/graph_infra/multiIO.perfkeys b/benchmark_v2/graph_infra/multiIO.perfkeys
new file mode 100644
index 0000000000..7a58e398d0
--- /dev/null
+++ b/benchmark_v2/graph_infra/multiIO.perfkeys
@@ -0,0 +1,4 @@
+write Average time HDF5 =
+write Average rate HDF5 =
+read Average time HDF5 =
+read Average rate HDF5 =
\ No newline at end of file
diff --git a/benchmark_v2/graph_infra/parquetIO.perfkeys b/benchmark_v2/graph_infra/parquetIO.perfkeys
new file mode 100644
index 0000000000..8fd696dc1f
--- /dev/null
+++ b/benchmark_v2/graph_infra/parquetIO.perfkeys
@@ -0,0 +1,24 @@
+write Average time none =
+write Average rate none =
+write Average time snappy =
+write Average rate snappy =
+write Average time gzip =
+write Average rate gzip =
+write Average time brotli =
+write Average rate brotli =
+write Average time zstd =
+write Average rate zstd =
+write Average time lz4 =
+write Average rate lz4 =
+read Average time none =
+read Average rate none =
+read Average time snappy =
+read Average rate snappy =
+read Average time gzip =
+read Average rate gzip =
+read Average time brotli =
+read Average rate brotli =
+read Average time zstd =
+read Average rate zstd =
+read Average time lz4 =
+read Average rate lz4 =
diff --git a/benchmark_v2/graph_infra/parquetMultiIO.perfkeys b/benchmark_v2/graph_infra/parquetMultiIO.perfkeys
new file mode 100644
index 0000000000..8fd696dc1f
--- /dev/null
+++ b/benchmark_v2/graph_infra/parquetMultiIO.perfkeys
@@ -0,0 +1,24 @@
+write Average time none =
+write Average rate none =
+write Average time snappy =
+write Average rate snappy =
+write Average time gzip =
+write Average rate gzip =
+write Average time brotli =
+write Average rate brotli =
+write Average time zstd =
+write Average rate zstd =
+write Average time lz4 =
+write Average rate lz4 =
+read Average time none =
+read Average rate none =
+read Average time snappy =
+read Average rate snappy =
+read Average time gzip =
+read Average rate gzip =
+read Average time brotli =
+read Average rate brotli =
+read Average time zstd =
+read Average rate zstd =
+read Average time lz4 =
+read Average rate lz4 =
diff --git a/benchmark_v2/graph_infra/perfkeys b/benchmark_v2/graph_infra/perfkeys
new file mode 100644
index 0000000000..bb7c261e03
--- /dev/null
+++ b/benchmark_v2/graph_infra/perfkeys
@@ -0,0 +1,2 @@
+Average time =
+Average rate =
diff --git a/benchmark_v2/graph_infra/reduce.perfkeys b/benchmark_v2/graph_infra/reduce.perfkeys
new file mode 100644
index 0000000000..5673ad468f
--- /dev/null
+++ b/benchmark_v2/graph_infra/reduce.perfkeys
@@ -0,0 +1,8 @@
+sum Average time =
+sum Average rate =
+prod Average time =
+prod Average rate =
+min Average time =
+min Average rate =
+max Average time =
+max Average rate =
diff --git a/benchmark_v2/graph_infra/scan.perfkeys b/benchmark_v2/graph_infra/scan.perfkeys
new file mode 100644
index 0000000000..185dfff27d
--- /dev/null
+++ b/benchmark_v2/graph_infra/scan.perfkeys
@@ -0,0 +1,4 @@
+cumsum Average time =
+cumsum Average rate =
+cumprod Average time =
+cumprod Average rate =
diff --git a/benchmark_v2/graph_infra/setops.perfkeys b/benchmark_v2/graph_infra/setops.perfkeys
new file mode 100644
index 0000000000..18f08f230d
--- /dev/null
+++ b/benchmark_v2/graph_infra/setops.perfkeys
@@ -0,0 +1,8 @@
+intersect1d Average time =
+intersect1d Average rate =
+union1d Average time =
+union1d Average rate =
+setxor1d Average time =
+setxor1d Average rate =
+setdiff1d Average time =
+setdiff1d Average rate =
\ No newline at end of file
diff --git a/benchmark_v2/graph_infra/small-str-groupby.perfkeys b/benchmark_v2/graph_infra/small-str-groupby.perfkeys
new file mode 100644
index 0000000000..c0aed2d861
--- /dev/null
+++ b/benchmark_v2/graph_infra/small-str-groupby.perfkeys
@@ -0,0 +1,6 @@
+small str array Average time =
+small str array Average rate =
+medium str array Average time =
+medium str array Average rate =
+big str array Average time =
+big str array Average rate =
diff --git a/benchmark_v2/graph_infra/sort-cases.perfkeys b/benchmark_v2/graph_infra/sort-cases.perfkeys
new file mode 100644
index 0000000000..abe56ee5ef
--- /dev/null
+++ b/benchmark_v2/graph_infra/sort-cases.perfkeys
@@ -0,0 +1,48 @@
+uniform int64 16-bit RadixSortLSD average time = 
+uniform int64 16-bit RadixSortLSD average rate = 
+uniform int64 16-bit TwoArrayRadixSort average time = 
+uniform int64 16-bit TwoArrayRadixSort average rate = 
+uniform int64 32-bit RadixSortLSD average time = 
+uniform int64 32-bit RadixSortLSD average rate = 
+uniform int64 32-bit TwoArrayRadixSort average time = 
+uniform int64 32-bit TwoArrayRadixSort average rate = 
+uniform int64 64-bit RadixSortLSD average time = 
+uniform int64 64-bit RadixSortLSD average rate = 
+uniform int64 64-bit TwoArrayRadixSort average time = 
+uniform int64 64-bit TwoArrayRadixSort average rate = 
+uniform float64 RadixSortLSD average time = 
+uniform float64 RadixSortLSD average rate = 
+uniform float64 TwoArrayRadixSort average time = 
+uniform float64 TwoArrayRadixSort average rate = 
+power-law float64 RadixSortLSD average time = 
+power-law float64 RadixSortLSD average rate = 
+power-law float64 TwoArrayRadixSort average time = 
+power-law float64 TwoArrayRadixSort average rate = 
+power-law int64 RadixSortLSD average time = 
+power-law int64 RadixSortLSD average rate = 
+power-law int64 TwoArrayRadixSort average time = 
+power-law int64 TwoArrayRadixSort average rate = 
+RMAT int64 RadixSortLSD average time = 
+RMAT int64 RadixSortLSD average rate = 
+RMAT int64 TwoArrayRadixSort average time = 
+RMAT int64 TwoArrayRadixSort average rate = 
+block-sorted concat int64 RadixSortLSD average time = 
+block-sorted concat int64 RadixSortLSD average rate = 
+block-sorted concat int64 TwoArrayRadixSort average time = 
+block-sorted concat int64 TwoArrayRadixSort average rate = 
+block-sorted interleaved int64 RadixSortLSD average time = 
+block-sorted interleaved int64 RadixSortLSD average rate = 
+block-sorted interleaved int64 TwoArrayRadixSort average time = 
+block-sorted interleaved int64 TwoArrayRadixSort average rate = 
+refinement int64 RadixSortLSD average time = 
+refinement int64 RadixSortLSD average rate = 
+refinement int64 TwoArrayRadixSort average time = 
+refinement int64 TwoArrayRadixSort average rate = 
+datetime64[ns] RadixSortLSD average time = 
+datetime64[ns] RadixSortLSD average rate = 
+datetime64[ns] TwoArrayRadixSort average time = 
+datetime64[ns] TwoArrayRadixSort average rate = 
+IP-like 2*int64 RadixSortLSD average time = 
+IP-like 2*int64 RadixSortLSD average rate = 
+IP-like 2*int64 TwoArrayRadixSort average time = 
+IP-like 2*int64 TwoArrayRadixSort average rate =
\ No newline at end of file
diff --git a/benchmark_v2/graph_infra/str-coargsort.perfkeys b/benchmark_v2/graph_infra/str-coargsort.perfkeys
new file mode 100644
index 0000000000..8ace5cd38a
--- /dev/null
+++ b/benchmark_v2/graph_infra/str-coargsort.perfkeys
@@ -0,0 +1,8 @@
+1-array Average time =
+1-array Average rate =
+2-array Average time =
+2-array Average rate =
+8-array Average time =
+8-array Average rate =
+16-array Average time =
+16-array Average rate =
diff --git a/benchmark_v2/graph_infra/str-groupby.perfkeys b/benchmark_v2/graph_infra/str-groupby.perfkeys
new file mode 100644
index 0000000000..8ace5cd38a
--- /dev/null
+++ b/benchmark_v2/graph_infra/str-groupby.perfkeys
@@ -0,0 +1,8 @@
+1-array Average time =
+1-array Average rate =
+2-array Average time =
+2-array Average rate =
+8-array Average time =
+8-array Average rate =
+16-array Average time =
+16-array Average rate =
diff --git a/benchmark_v2/graph_infra/str-in1d.perfkeys b/benchmark_v2/graph_infra/str-in1d.perfkeys
new file mode 100644
index 0000000000..4811158832
--- /dev/null
+++ b/benchmark_v2/graph_infra/str-in1d.perfkeys
@@ -0,0 +1,4 @@
+Medium average time =
+Medium average rate =
+Large average time =
+Large average rate =
diff --git a/benchmark_v2/graph_infra/str-locality.perfkeys b/benchmark_v2/graph_infra/str-locality.perfkeys
new file mode 100644
index 0000000000..03795d505b
--- /dev/null
+++ b/benchmark_v2/graph_infra/str-locality.perfkeys
@@ -0,0 +1,16 @@
+Hashing good locality Average time =
+Hashing good locality Average rate =
+Hashing poor locality Average time =
+Hashing poor locality Average rate =
+Regex searching good locality Average time =
+Regex searching good locality Average rate =
+Regex searching poor locality Average time =
+Regex searching poor locality Average rate =
+Casting good locality Average time =
+Casting good locality Average rate =
+Casting poor locality Average time =
+Casting poor locality Average rate =
+Comparing to scalar good locality Average time =
+Comparing to scalar good locality Average rate =
+Comparing to scalar poor locality Average time =
+Comparing to scalar poor locality Average rate =
diff --git a/benchmark_v2/graph_infra/substring_search.perfkeys b/benchmark_v2/graph_infra/substring_search.perfkeys
new file mode 100644
index 0000000000..f38ef0f768
--- /dev/null
+++ b/benchmark_v2/graph_infra/substring_search.perfkeys
@@ -0,0 +1,6 @@
+non-regex with literal substring Average time =
+non-regex with literal substring Average rate =
+regex with literal substring Average time =
+regex with literal substring Average rate =
+regex with pattern Average time =
+regex with pattern Average rate =
diff --git a/benchmark_v2/reformat_benchmark_results.py b/benchmark_v2/reformat_benchmark_results.py
new file mode 100644
index 0000000000..181e1788f4
--- /dev/null
+++ b/benchmark_v2/reformat_benchmark_results.py
@@ -0,0 +1,415 @@
+#!/usr/bin/env python3
+"""
+This is a driver script to automatically run the Arkouda benchmarks in this
+directory and optionally graph the results. Graphing requires that $CHPL_HOME
+points to a valid Chapel directory. This will start and stop the Arkouda server
+automatically.
+"""
+import argparse
+import csv
+import json
+import logging
+import os
+import re
+import subprocess
+import sys
+from datetime import datetime
+from typing import Union
+
+benchmark_dir = os.path.dirname(__file__)
+util_dir = os.path.join(benchmark_dir, "..", "server_util", "test")
+sys.path.insert(0, os.path.abspath(util_dir))
+
+logging.basicConfig(level=logging.INFO)
+
+BENCHMARKS = [
+    # "stream",
+    "argsort",
+    "coargsort",
+    # "groupby",
+    "aggregate",
+    # "gather",
+    # "scatter",
+    # "reduce",
+    # "in1d",
+    # "scan",
+    # "noop",
+    # "setops",
+    # "array_create",
+    # "array_transfer",
+    # "IO",
+    # "csvIO",
+    # "small-str-groupby",
+    # "str-argsort",
+    # "str-coargsort",
+    # "str-groupby",
+    # "str-gather",
+    # "str-in1d",
+    # "substring_search",
+    # "split",
+    # "sort-cases",
+    # "multiIO",
+    # "str-locality",
+    # "dataframe",
+    # "encode",
+    # "bigint_conversion",
+    # "bigint_stream",
+    # "bigint_bitwise_binops",
+    # "bigint_groupby",
+    # "bigint_array_transfer",
+]
+
+if os.getenv("ARKOUDA_SERVER_PARQUET_SUPPORT"):
+    BENCHMARKS.append("parquetIO")
+    BENCHMARKS.append("parquetMultiIO")
+
+
+def get_chpl_util_dir():
+    """Get the Chapel directory that contains graph generation utilities."""
+    CHPL_HOME = os.getenv("CHPL_HOME")
+    if not CHPL_HOME:
+        logging.error("$CHPL_HOME not set")
+        sys.exit(1)
+    chpl_util_dir = os.path.join(CHPL_HOME, "util", "test")
+    if not os.path.isdir(chpl_util_dir):
+        logging.error("{} does not exist".format(chpl_util_dir))
+        sys.exit(1)
+    return chpl_util_dir
+
+
+def generate_graphs(args):
+    """
+    Generate graphs using the existing .dat files and graph infrastructure.
+    """
+    genGraphs = os.path.join(get_chpl_util_dir(), "genGraphs")
+    cmd = [
+        genGraphs,
+        "--perfdir",
+        args.dat_dir,
+        "--outdir",
+        args.graph_dir,
+        "--graphlist",
+        os.path.join(args.graph_infra, "GRAPHLIST"),
+        "--testdir",
+        args.graph_infra,
+        "--alttitle",
+        "Arkouda Performance Graphs",
+    ]
+
+    if args.platform_name:
+        cmd += ["--name", args.platform_name]
+    if args.configs:
+        cmd += ["--configs", args.configs]
+    if args.start_date:
+        cmd += ["--startdate", args.start_date]
+    if args.annotations:
+        cmd += ["--annotate", args.annotations]
+
+    subprocess.check_output(cmd)
+
+
+def create_parser():
+    parser = argparse.ArgumentParser(description=__doc__)
+
+    parser.add_argument(
+        "--dat-dir",
+        default=os.path.join(benchmark_dir, "datdir"),
+        help="Directory with .dat files stored",
+    )
+    parser.add_argument("--graph-dir", help="Directory to place generated graphs")
+    parser.add_argument(
+        "--graph-infra",
+        default=os.path.join(benchmark_dir, "graph_infra"),
+        help="Directory containing graph infrastructure",
+    )
+    parser.add_argument("--platform-name", default="", help="Test platform name")
+    parser.add_argument("--description", default="", help="Description of this configuration")
+    parser.add_argument("--annotations", default="", help="File containing annotations")
+    parser.add_argument("--configs", help="comma seperate list of configurations")
+    parser.add_argument("--start-date", help="graph start date")
+    parser.add_argument("--benchmark-data", help="the benchnmark output data in json format.")
+
+    return parser
+
+
+def get_header_dict(directory_path):
+    """Get a dictionary there the keys are the benchmark name and the values are list of header fields for the .dat file."""
+    headers = read_files_in_directory(directory_path)
+    for benchmark_name in BENCHMARKS:
+        if benchmark_name not in headers.keys():
+            headers[benchmark_name] = ["Average time =", "Average rate ="]
+
+    for key in headers.keys():
+        headers[key].insert(0, "# Date")
+
+    return headers
+
+
+# This algorithm for reading files into a dictionary was generated with assistance from Perplexity AI (2024).
+def read_files_in_directory(directory_path):
+    """Get a dictionary there the keys are the benchmark name and the values are list of header fields for the .dat file.
+    Only retrieves header fields in the .perfkeys files in the graph_infra directory."""
+    # Dictionary to store file names and their contents
+    file_contents = {}
+
+    # Iterate through all files in the directory
+    for filename in os.listdir(directory_path):
+        file_path = os.path.join(directory_path, filename)
+
+        # Check if it's a file (not a directory)
+        if (".perfkeys" in file_path) and os.path.isfile(file_path):
+            try:
+                # Open and read the file
+                with open(file_path, "r", encoding="utf-8") as file:
+                    # Read all lines and store them in a list
+                    lines = file.readlines()
+
+                    # Strip newline characters from each line
+                    lines = [line.strip() for line in lines]
+
+                    # Add the file name and its contents to the dictionary
+                    key = re.search(r"([\w_]+).perfkeys", filename)[1]
+                    file_contents[key] = lines
+            except Exception as e:
+                print(f"Error reading file {filename}: {str(e)}")
+
+    return file_contents
+
+
+def get_nested_value(data: dict, keys: list):
+    """Look up a value in a dictionary using a list of keys."""
+    for key in keys:
+        if isinstance(data, dict):
+            data = data.get(key, {})
+        else:
+            return None
+    return data if data != {} else None
+
+
+def get_value(field: str, benchmark_name: str, field_lookup_map: dict, benchmark_data):
+    """get the value of a field in a benchmark using the field_lookup_map and the benchmark_data in pytest json format."""
+    regex_str = None
+    if (
+        field_lookup_map.get(benchmark_name).get(field) is not None
+        and isinstance(field_lookup_map.get(benchmark_name).get(field).get("lookup_regex"), str)
+        and field_lookup_map.get(benchmark_name).get(field).get("lookup_regex") != ""
+    ):
+        regex_str = field_lookup_map.get(benchmark_name).get(field).get("lookup_regex")
+
+    lookup_path = None
+    if field_lookup_map.get(benchmark_name).get(field) is not None and isinstance(
+        field_lookup_map.get(benchmark_name).get(field).get("lookup_path"), list
+    ):
+        lookup_path = field_lookup_map.get(benchmark_name).get(field).get("lookup_path")
+
+    if field == "# Date":
+        date_str = benchmark_data["datetime"]
+        return datetime.fromisoformat(date_str).strftime("%m/%d/%y")
+    elif regex_str is not None and regex_str != "":
+        return compute_average(regex_str, lookup_path, benchmark_data)
+    elif benchmark_name in field_lookup_map.keys() and field in field_lookup_map[benchmark_name].keys():
+        group = field_lookup_map[benchmark_name][field]["group"]
+        name = field_lookup_map[benchmark_name][field]["name"]
+        lookup_path = field_lookup_map[benchmark_name][field]["lookup_path"]
+
+        for benchmark in benchmark_data["benchmarks"]:
+            if (benchmark["group"] == group) and (benchmark["name"] == name):
+                value = get_nested_value(benchmark, lookup_path)
+                return get_float_value(value)
+
+    print(f"Could not get value for {field} in {benchmark_name} data.")
+    return -1.0
+
+
+def compute_average(benchmark_name_regex: str, keys: list, benchmark_data):
+    """Compute the average value of a statistic, using a regex on the benchmark name to determine which values to use."""
+    sum = 0.0
+    N = 0
+    for benchmark in benchmark_data["benchmarks"]:
+        if re.match(benchmark_name_regex, benchmark["name"]):
+            value = get_float_value(get_nested_value(benchmark, keys))
+            sum += value
+            N += 1
+    if N > 0:
+        return sum / N
+    else:
+        print(f"Could not compute average over {benchmark_name_regex}.")
+        return -1.0
+
+
+def get_float_value(value: Union[float, str]):
+    if isinstance(value, str):
+        # extract float value:
+        return float(re.search(r"[\d\.]+", value)[0])
+    elif isinstance(value, float):
+        return value
+    else:
+        raise TypeError("In get_float_value, value must be a float or string.")
+
+
+def gen_lookup_map(write=False, out_file="field_lookup_map.json"):
+    """Temporarily use a script to generate the lookup dictionary and save to file when write=True."""
+    field_lookup_map = {}
+    for benchmark_name in BENCHMARKS:
+        field_lookup_map[benchmark_name] = {}
+
+        field_lookup_map[benchmark_name]["Average rate ="] = get_lookup_dict(
+            name="bench_" + benchmark_name,
+            benchmark_name=benchmark_name,
+            lookup_path=[
+                "extra_info",
+                "transfer_rate",
+            ],
+            lookup_regex="bench_" + benchmark_name + r"\[[\w\d]*\]",
+        )
+
+        field_lookup_map[benchmark_name]["Average time ="] = get_lookup_dict(
+            name="bench_" + benchmark_name,
+            benchmark_name=benchmark_name,
+            lookup_path=[
+                "stats",
+                "mean",
+            ],
+            lookup_regex="bench_" + benchmark_name + r"\[[\w\d]*\]",
+        )
+
+    for op in [
+        "prod",
+        "sum",
+        "mean",
+        "min",
+        "max",
+        "argmin",
+        "argmax",
+        "any",
+        "all",
+        "xor",
+        "and",
+        "or",
+        "nunique",
+    ]:
+
+        field_lookup_map["aggregate"][f"Aggregate {op} Average rate ="] = get_lookup_dict(
+            group="GroupBy.aggregate",
+            name=f"bench_aggregate[{op}]",
+            benchmark_name="aggregate",
+            lookup_path=[
+                "extra_info",
+                "transfer_rate",
+            ],
+        )
+
+        field_lookup_map["aggregate"][f"Aggregate {op} Average time ="] = get_lookup_dict(
+            group="GroupBy.aggregate",
+            name=f"bench_aggregate[{op}]",
+            benchmark_name="aggregate",
+            lookup_path=[
+                "stats",
+                "mean",
+            ],
+        )
+
+    for num in [1, 2, 8, 16]:
+
+        field_lookup_map["coargsort"][f"{num}-array Average rate ="] = get_lookup_dict(
+            group="Arkouda_CoArgSort",
+            benchmark_name="coargsort",
+            lookup_path=["extra_info", "transfer_rate"],
+            lookup_regex=f"bench_coargsort\\[[\\w\\d]*-{num}\\]",
+        )
+
+        field_lookup_map["coargsort"][f"{num}-array Average time ="] = get_lookup_dict(
+            group="Arkouda_CoArgSort",
+            benchmark_name="coargsort",
+            lookup_path=[
+                "stats",
+                "mean",
+            ],
+            lookup_regex=f"bench_coargsort\\[[\\w\\d]*-{num}\\]",
+        )
+
+    if write:
+        with open(out_file, "w") as fp:
+            json.dump(field_lookup_map, fp)
+
+    return field_lookup_map
+
+
+def get_lookup_dict(group="", name="", benchmark_name="", lookup_path=[], lookup_regex=""):
+    """Populate the lookup dictionary fields and return a dictionary."""
+    ret_dict = {
+        "group": group,
+        "name": name,
+        "benchmark_name": benchmark_name,
+        "lookup_path": lookup_path,
+        "lookup_regex": lookup_regex,
+    }
+    return ret_dict
+
+
+# ./benchmark_v2/reformat_benchmark_results.py
+def main():
+    parser = create_parser()
+    args, client_args = parser.parse_known_args()
+    args.graph_dir = args.graph_dir or os.path.join(args.dat_dir, "html")
+    configs_dir = os.path.join(args.dat_dir, "configs")
+    benchmark_data_path = args.benchmark_data
+
+    os.makedirs(configs_dir, exist_ok=True)
+
+    lookup_map_path = configs_dir + "/field_lookup_map.json"
+
+    #   TODO: remove gen_lookup_map
+    gen_lookup_map(True, lookup_map_path)
+
+    with open(lookup_map_path, "r") as file:
+        field_lookup_map = json.load(file)
+
+    headers = get_header_dict(args.graph_infra)
+
+    #   Load benchmark data
+    with open(benchmark_data_path, "r") as file:
+        benchmark_data = json.load(file)
+
+    #   Convert benchmark data to output rows, in dictionary format with benchmark names as the keys.
+    out_data = {}
+
+    for benchmark_name in BENCHMARKS:
+        if benchmark_name not in headers.keys():
+            print(f"Could could not find headers for {benchmark_name}.")
+        else:
+            header = headers[benchmark_name]
+            row = [
+                get_value(field, benchmark_name, field_lookup_map, benchmark_data)
+                for field in header
+            ]
+
+            if benchmark_name in out_data.keys() and isinstance(out_data[benchmark_name], list):
+                out_data[benchmark_name].append(row)
+            else:
+                out_data[benchmark_name] = [row]
+
+    #   Write the outputs to .dat files
+    for benchmark_name in BENCHMARKS:
+        if benchmark_name not in out_data.keys():
+            print(f"Could not generate {benchmark_name}.dat\nskipping....")
+            continue
+
+        data_file = args.dat_dir + f"/{benchmark_name}.dat"
+        header = headers[benchmark_name]
+
+        if not os.path.exists(data_file):
+            with open(data_file, "a", newline="") as file:
+                writer = csv.writer(file, delimiter="\t")
+                writer.writerow(header)
+
+        if out_data[benchmark_name] is not None:
+            with open(data_file, "a", newline="") as file:
+                writer = csv.writer(file, delimiter="\t")
+                writer.writerows(out_data[benchmark_name])
+
+    generate_graphs(args)
+
+
+if __name__ == "__main__":
+    main()