From dc503abd1b3c95ef9a4231575ad52a7fade34cab Mon Sep 17 00:00:00 2001
From: Lachlan Deakin <ljdgit@gmail.com>
Date: Tue, 23 Jul 2024 12:06:04 +1000
Subject: [PATCH] Update benchmarks and add plots

---
 CHANGELOG.md                         |    1 +
 Cargo.toml                           |    4 +
 docs/benchmark_read_all.csv          |    6 +
 docs/benchmark_read_all.md           |    5 +
 docs/benchmark_read_all.pdf          |  Bin 0 -> 95544 bytes
 docs/benchmark_read_all.svg          | 2034 ++++++++++++++++++++++
 docs/benchmark_read_chunks.csv       |   21 +
 docs/benchmark_read_chunks.md        |   20 +
 docs/benchmark_read_chunks.pdf       |  Bin 0 -> 96431 bytes
 docs/benchmark_read_chunks.svg       | 2354 ++++++++++++++++++++++++++
 docs/benchmarks.md                   |   45 +-
 scripts/plot_benchmarks.py           |  158 ++
 scripts/run_benchmark_read_all.py    |   13 +-
 scripts/run_benchmark_read_chunks.py |   14 +-
 14 files changed, 4640 insertions(+), 35 deletions(-)
 create mode 100644 docs/benchmark_read_all.csv
 create mode 100644 docs/benchmark_read_all.md
 create mode 100644 docs/benchmark_read_all.pdf
 create mode 100644 docs/benchmark_read_all.svg
 create mode 100644 docs/benchmark_read_chunks.csv
 create mode 100644 docs/benchmark_read_chunks.md
 create mode 100644 docs/benchmark_read_chunks.pdf
 create mode 100644 docs/benchmark_read_chunks.svg
 create mode 100644 scripts/plot_benchmarks.py

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 3b46e10..c91dc37 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -9,6 +9,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ### Changed
  - `zarrs_reencode`: revise output and update docs
+ - Update benchmarks and add plots
 
 ## [0.5.2] - 2024-07-10
 
diff --git a/Cargo.toml b/Cargo.toml
index cba71a5..59d5271 100644
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -10,6 +10,10 @@ repository = "https://github.com/LDeakin/zarrs_tools"
 license = "MIT OR Apache-2.0"
 keywords = ["zarr"]
 categories = ["command-line-utilities", "encoding"]
+excludes = [
+    "docs/*.pdf",
+    "docs/*.csv"
+]
 
 [features]
 async = ["zarrs/async", "zarrs/object_store", "zarrs/opendal", "dep:object_store", "dep:opendal"]
diff --git a/docs/benchmark_read_all.csv b/docs/benchmark_read_all.csv
new file mode 100644
index 0000000..df8e96e
--- /dev/null
+++ b/docs/benchmark_read_all.csv
@@ -0,0 +1,6 @@
+Metric,Time (s),Time (s),Time (s),Memory (GB),Memory (GB),Memory (GB)
+Implementation,zarrs_rust,tensorstore_python,zarr_python,zarrs_rust,tensorstore_python,zarr_python
+Image,,,,,,
+data/benchmark.zarr,2.55,3.68,55.1,8.416708,8.600584,15.470324
+data/benchmark_compress.zarr,2.59,3.03,75.35,8.441368,8.573516,19.132372
+data/benchmark_compress_shard.zarr,1.63,2.02,37.79,8.636576,8.879424,27.328692
diff --git a/docs/benchmark_read_all.md b/docs/benchmark_read_all.md
new file mode 100644
index 0000000..2ab9dbf
--- /dev/null
+++ b/docs/benchmark_read_all.md
@@ -0,0 +1,5 @@
+| Image                              |   Time (s)<br>zarrs<br>rust |   <br>tensorstore<br>python |   <br>zarr<br>python |   Memory (GB)<br>zarrs<br>rust |   <br>tensorstore<br>python |   <br>zarr<br>python |
+|:-----------------------------------|----------------------------:|----------------------------:|---------------------:|-------------------------------:|----------------------------:|---------------------:|
+| data/benchmark.zarr                |                        2.55 |                        3.68 |                55.10 |                           8.42 |                        8.60 |                15.47 |
+| data/benchmark_compress.zarr       |                        2.59 |                        3.03 |                75.35 |                           8.44 |                        8.57 |                19.13 |
+| data/benchmark_compress_shard.zarr |                        1.63 |                        2.02 |                37.79 |                           8.64 |                        8.88 |                27.33 |
\ No newline at end of file
diff --git a/docs/benchmark_read_all.pdf b/docs/benchmark_read_all.pdf
new file mode 100644
index 0000000000000000000000000000000000000000..b4cdcb98e030ee636fcc398f3fe94e48bb31d0b5
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diff --git a/docs/benchmark_read_chunks.csv b/docs/benchmark_read_chunks.csv
new file mode 100644
index 0000000..f0740d8
--- /dev/null
+++ b/docs/benchmark_read_chunks.csv
@@ -0,0 +1,21 @@
+Metric,,Time (s),Time (s),Time (s),Memory (GB),Memory (GB),Memory (GB)
+Implementation,,zarrs_rust,tensorstore_python,zarr_python,zarrs_rust,tensorstore_python,zarr_python
+Image,Concurrency,,,,,,
+data/benchmark.zarr,1,31.36,54.15,84.0,0.024888,0.09856,0.101824
+data/benchmark.zarr,2,14.81,31.54,70.88,0.027884,0.303892,0.319608
+data/benchmark.zarr,4,7.98,24.5,70.64,0.02782,0.309732,0.31156
+data/benchmark.zarr,8,4.4,21.33,67.06,0.028216,0.315948,0.3139
+data/benchmark.zarr,16,2.49,20.13,60.28,0.02788,0.319788,0.316828
+data/benchmark.zarr,32,2.43,17.97,56.67,0.027004,0.32244,0.32038
+data/benchmark_compress.zarr,1,22.59,48.7,98.27000000000001,0.025168,0.095652,0.137304
+data/benchmark_compress.zarr,2,12.59,27.28,92.91,0.028636,0.31164,0.341512
+data/benchmark_compress.zarr,4,6.94,23.25,88.4,0.026848,0.312156,0.329352
+data/benchmark_compress.zarr,8,3.7,20.3,84.92,0.030676,0.32148,0.341864
+data/benchmark_compress.zarr,16,2.13,19.46,74.02,0.033564,0.343696,0.3422
+data/benchmark_compress.zarr,32,2.09,17.11,67.53,0.042712,0.352136,0.329524
+data/benchmark_compress_shard.zarr,1,2.17,3.19,26.26,0.367568,0.61508,1.202624
+data/benchmark_compress_shard.zarr,2,1.56,2.28,31.64,0.69766,0.92436,1.995284
+data/benchmark_compress_shard.zarr,4,1.4,2.02,33.23,1.29334,1.006748,3.623536
+data/benchmark_compress_shard.zarr,8,1.34,1.87,34.77,2.420176,1.350632,7.078324
+data/benchmark_compress_shard.zarr,16,1.29,1.84,38.82,4.524808,1.970588,13.787524
+data/benchmark_compress_shard.zarr,32,1.45,2.31,36.84,6.721488,2.370636,27.44894
diff --git a/docs/benchmark_read_chunks.md b/docs/benchmark_read_chunks.md
new file mode 100644
index 0000000..b487998
--- /dev/null
+++ b/docs/benchmark_read_chunks.md
@@ -0,0 +1,20 @@
+|    | Image                              |   Concurrency |   Time (s)<br>zarrs<br>rust |   <br>tensorstore<br>python |   <br>zarr<br>python |   Memory (GB)<br>zarrs<br>rust |   <br>tensorstore<br>python |   <br>zarr<br>python |
+|---:|:-----------------------------------|--------------:|----------------------------:|----------------------------:|---------------------:|-------------------------------:|----------------------------:|---------------------:|
+|  0 | data/benchmark.zarr                |             1 |                       31.36 |                       54.15 |                84.00 |                           0.02 |                        0.10 |                 0.10 |
+|  1 | data/benchmark.zarr                |             2 |                       14.81 |                       31.54 |                70.88 |                           0.03 |                        0.30 |                 0.32 |
+|  2 | data/benchmark.zarr                |             4 |                        7.98 |                       24.50 |                70.64 |                           0.03 |                        0.31 |                 0.31 |
+|  3 | data/benchmark.zarr                |             8 |                        4.40 |                       21.33 |                67.06 |                           0.03 |                        0.32 |                 0.31 |
+|  4 | data/benchmark.zarr                |            16 |                        2.49 |                       20.13 |                60.28 |                           0.03 |                        0.32 |                 0.32 |
+|  5 | data/benchmark.zarr                |            32 |                        2.43 |                       17.97 |                56.67 |                           0.03 |                        0.32 |                 0.32 |
+|  6 | data/benchmark_compress.zarr       |             1 |                       22.59 |                       48.70 |                98.27 |                           0.03 |                        0.10 |                 0.14 |
+|  7 | data/benchmark_compress.zarr       |             2 |                       12.59 |                       27.28 |                92.91 |                           0.03 |                        0.31 |                 0.34 |
+|  8 | data/benchmark_compress.zarr       |             4 |                        6.94 |                       23.25 |                88.40 |                           0.03 |                        0.31 |                 0.33 |
+|  9 | data/benchmark_compress.zarr       |             8 |                        3.70 |                       20.30 |                84.92 |                           0.03 |                        0.32 |                 0.34 |
+| 10 | data/benchmark_compress.zarr       |            16 |                        2.13 |                       19.46 |                74.02 |                           0.03 |                        0.34 |                 0.34 |
+| 11 | data/benchmark_compress.zarr       |            32 |                        2.09 |                       17.11 |                67.53 |                           0.04 |                        0.35 |                 0.33 |
+| 12 | data/benchmark_compress_shard.zarr |             1 |                        2.17 |                        3.19 |                26.26 |                           0.37 |                        0.62 |                 1.20 |
+| 13 | data/benchmark_compress_shard.zarr |             2 |                        1.56 |                        2.28 |                31.64 |                           0.70 |                        0.92 |                 2.00 |
+| 14 | data/benchmark_compress_shard.zarr |             4 |                        1.40 |                        2.02 |                33.23 |                           1.29 |                        1.01 |                 3.62 |
+| 15 | data/benchmark_compress_shard.zarr |             8 |                        1.34 |                        1.87 |                34.77 |                           2.42 |                        1.35 |                 7.08 |
+| 16 | data/benchmark_compress_shard.zarr |            16 |                        1.29 |                        1.84 |                38.82 |                           4.52 |                        1.97 |                13.79 |
+| 17 | data/benchmark_compress_shard.zarr |            32 |                        1.45 |                        2.31 |                36.84 |                           6.72 |                        2.37 |                27.45 |
\ No newline at end of file
diff --git a/docs/benchmark_read_chunks.pdf b/docs/benchmark_read_chunks.pdf
new file mode 100644
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diff --git a/docs/benchmarks.md b/docs/benchmarks.md
index 3d86253..4b76a75 100644
--- a/docs/benchmarks.md
+++ b/docs/benchmarks.md
@@ -28,10 +28,10 @@ Benchmark data is generated with `scripts/generate_benchmark_array.py` as follow
 - Ubuntu 22.04 (in Windows 11 WSL2, swap disabled, 32GB available memory)
 
 ## Implementations Benchmarked
-- [`LDeakin/zarrs`](https://github.com/LDeakin/zarrs) v0.15.0-beta.1 (Rust 1.79.0) via [`LDeakin/zarrs_tools`](https://github.com/LDeakin/zarrs_tools) 0.4.3 (81c580e)
+- [`LDeakin/zarrs`](https://github.com/LDeakin/zarrs) v0.15.0 (Rust 1.79.0) via [`LDeakin/zarrs_tools`](https://github.com/LDeakin/zarrs_tools) 0.5.2 (b458067)
   - Benchmark executable: [zarrs_benchmark_read_sync](https://github.com/LDeakin/zarrs_tools/blob/main/src/bin/zarrs_benchmark_read_sync.rs)
-  - Benchmark executable: [zarrs_benchmark_read_async](https://github.com/LDeakin/zarrs_tools/blob/main/src/bin/zarrs_benchmark_read_async.rs)
-- [`google/tensorstore`](https://github.com/google/tensorstore) v0.1.61 (Python 3.12.3)
+  - ~~Benchmark executable: [zarrs_benchmark_read_async](https://github.com/LDeakin/zarrs_tools/blob/main/src/bin/zarrs_benchmark_read_async.rs)~~
+- [`google/tensorstore`](https://github.com/google/tensorstore) v0.1.63 (Python 3.12.3)
   - Benchmark script: <https://github.com/LDeakin/zarrs_tools/blob/main/scripts/tensorstore_python_benchmark_read_async.py>
 - [`zarr-developers/zarr-python`](https://github.com/zarr-developers/zarr-python) 3.0.0a0 (Python 3.12.3)
   - Benchmark script: <https://github.com/LDeakin/zarrs_tools/blob/main/scripts/zarr_python_benchmark_read_async.py>
@@ -50,11 +50,13 @@ This benchmark measures the minimum time and memory used to read an entire datas
 python3 ./scripts/run_benchmark_read_all.py
 ```
 
-| Image                              |   Time (s)<br>zarrs<br>rust |   <br>zarrs<br>rust<br>async |   <br>tensorstore<br>python |   <br>zarr<br>python |   Memory (GB)<br>zarrs<br>rust |   <br>zarrs<br>rust<br>async |   <br>tensorstore<br>python |   <br>zarr<br>python |
-|:-----------------------------------|----------------------------:|-----------------------------:|----------------------------:|---------------------:|-------------------------------:|-----------------------------:|----------------------------:|---------------------:|
-| data/benchmark.zarr                |                        2.84 |                         9.79 |                        3.10 |                49.70 |                           8.42 |                         8.40 |                        8.60 |                15.52 |
-| data/benchmark_compress.zarr       |                        2.70 |                        13.86 |                        2.69 |                70.55 |                           8.44 |                         8.41 |                        8.54 |                19.14 |
-| data/benchmark_compress_shard.zarr |                        1.37 |                         2.21 |                        2.11 |                35.09 |                           8.64 |                         8.57 |                        8.94 |                27.33 |
+ > [!IMPORTANT]  
+ > `zarr-python` does not use multiple cores with an `array[:]` call.
+ > This benchmark needs to be reevaluated when `zarr-python` v3 supports multithreading directly or through a supporting library (e.g. `dask` via `xarray`).
+
+![read all benchmark image](./benchmark_read_all.svg)
+
+[Table of raw measurements (benchmarks_read_all.md)](./benchmark_read_all.md)
 
 ### Chunk-By-Chunk
 
@@ -66,26 +68,13 @@ This benchmark measures the the minimum time and memory to read a dataset chunk-
 python3 ./scripts/run_benchmark_read_chunks.py
 ```
 
-| Image                              |   Concurrency |   Time (s)<br>zarrs<br>rust |   <br>zarrs<br>rust<br>async |   <br>tensorstore<br>python |   <br>zarr<br>python |   Memory (GB)<br>zarrs<br>rust |   <br>zarrs<br>rust<br>async |   <br>tensorstore<br>python |   <br>zarr<br>python |
-|:-----------------------------------|--------------:|----------------------------:|-----------------------------:|----------------------------:|---------------------:|-------------------------------:|-----------------------------:|----------------------------:|---------------------:|
-| data/benchmark.zarr                |             1 |                       28.55 |                        55.48 |                       51.17 |                81.21 |                           0.02 |                         0.01 |                        0.10 |                 0.10 |
-| data/benchmark.zarr                |             2 |                       16.08 |                        32.79 |                       29.85 |                66.76 |                           0.03 |                         0.02 |                        0.31 |                 0.32 |
-| data/benchmark.zarr                |             4 |                        8.49 |                        18.02 |                       23.13 |                66.23 |                           0.03 |                         0.02 |                        0.31 |                 0.31 |
-| data/benchmark.zarr                |             8 |                        4.59 |                        10.49 |                       20.36 |                64.06 |                           0.03 |                         0.02 |                        0.31 |                 0.31 |
-| data/benchmark.zarr                |            16 |                        2.84 |                         8.42 |                       18.84 |                57.60 |                           0.03 |                         0.02 |                        0.33 |                 0.32 |
-| data/benchmark.zarr                |            32 |                        2.83 |                         7.94 |                       16.80 |                53.58 |                           0.03 |                         0.03 |                        0.33 |                 0.32 |
-| data/benchmark_compress.zarr       |             1 |                       20.53 |                        36.31 |                       45.32 |                93.08 |                           0.03 |                         0.02 |                        0.10 |                 0.14 |
-| data/benchmark_compress.zarr       |             2 |                       12.37 |                        19.87 |                       26.66 |                86.26 |                           0.03 |                         0.02 |                        0.31 |                 0.34 |
-| data/benchmark_compress.zarr       |             4 |                        7.21 |                        11.16 |                       22.19 |                85.91 |                           0.03 |                         0.02 |                        0.31 |                 0.33 |
-| data/benchmark_compress.zarr       |             8 |                        3.92 |                         7.34 |                       19.56 |                79.25 |                           0.03 |                         0.03 |                        0.33 |                 0.33 |
-| data/benchmark_compress.zarr       |            16 |                        2.33 |                         7.13 |                       18.29 |                70.87 |                           0.03 |                         0.04 |                        0.32 |                 0.33 |
-| data/benchmark_compress.zarr       |            32 |                        2.29 |                         6.90 |                       16.41 |                65.28 |                           0.04 |                         0.07 |                        0.34 |                 0.33 |
-| data/benchmark_compress_shard.zarr |             1 |                        2.06 |                         2.08 |                        3.24 |                25.45 |                           0.37 |                         0.37 |                        0.63 |                 1.17 |
-| data/benchmark_compress_shard.zarr |             2 |                        1.49 |                         1.54 |                        2.29 |                29.03 |                           0.70 |                         0.70 |                        0.88 |                 1.95 |
-| data/benchmark_compress_shard.zarr |             4 |                        1.37 |                         1.35 |                        1.96 |                31.36 |                           1.30 |                         1.30 |                        1.12 |                 3.61 |
-| data/benchmark_compress_shard.zarr |             8 |                        1.27 |                         1.32 |                        1.91 |                33.57 |                           2.30 |                         2.17 |                        1.97 |                 6.99 |
-| data/benchmark_compress_shard.zarr |            16 |                        1.28 |                         1.32 |                        1.90 |                34.94 |                           4.55 |                         3.73 |                        1.82 |                13.78 |
-| data/benchmark_compress_shard.zarr |            32 |                        1.34 |                         1.52 |                        2.22 |                35.25 |                           6.93 |                         6.71 |                        2.82 |                27.38 |
+ > [!IMPORTANT]  
+ > `zarr-python` does not seem to scale up with multiple concurrent chunk requests and uses far more memory than competing implementations.
+ > This needs to be reviewed.
+
+![read chunks benchmark image](./benchmark_read_chunks.svg)
+
+[Table of raw measurements (benchmarks_read_chunks.md)](./benchmark_read_chunks.md)
 
 ## Round Trip Benchmarks
 TODO
diff --git a/scripts/plot_benchmarks.py b/scripts/plot_benchmarks.py
new file mode 100644
index 0000000..3ea92bb
--- /dev/null
+++ b/scripts/plot_benchmarks.py
@@ -0,0 +1,158 @@
+#!/usr/bin/env python3
+
+import matplotlib.pyplot as plt
+import pandas as pd
+# from matplotlib._layoutgrid import plot_children
+from matplotlib.lines import Line2D
+
+plt.rcParams.update({
+    "text.usetex": True,
+    "font.family": "sans-serif",
+    "font.sans-serif": ["lmodern"]}
+)
+
+implementations = {
+    "zarrs_rust": "LDeakin/zarrs (0.15.0)",
+    "tensorstore_python": "google/tensorstore (0.1.63)",
+    "zarr_python": "zarr-developers/zarr-python (3.0.0a0)"
+}
+
+images = {
+    "data/benchmark.zarr": "Uncompressed",
+    "data/benchmark_compress.zarr": "Compressed",
+    "data/benchmark_compress_shard.zarr": "Compressed\n + Sharded",
+}
+
+def split_axis(ax_h, ax_l):
+    ax_h.spines.bottom.set_visible(False)
+    ax_l.spines.top.set_visible(False)
+    ax_h.xaxis.tick_top()
+    ax_h.tick_params(labeltop=False)  # don't put tick labels at the top
+    ax_l.xaxis.tick_bottom()
+
+    d = .5  # proportion of vertical to horizontal extent of the slanted line
+    kwargs = dict(marker=[(-1, -d), (1, d)], markersize=12,
+                linestyle="none", color='k', mec='k', mew=1, clip_on=False)
+    ax_h.plot([0, 1], [0, 0], transform=ax_h.transAxes, **kwargs)
+    ax_l.plot([0, 1], [1, 1], transform=ax_l.transAxes, **kwargs)
+
+def plot_read_all():
+    df = pd.read_csv("docs/benchmark_read_all.csv", header=[0, 1], index_col=0)
+    df.index = ["Uncompressed", "Compressed", "Compressed\n+ Sharded"]
+    df.rename(level=1, columns=implementations, inplace=True)
+    print(df)
+
+
+    # Prepare split axis figure and axes
+    fig = plt.figure(figsize=(9, 4), layout="constrained")
+    spec = fig.add_gridspec(2, 2, hspace=0.005)
+    fig.get_layout_engine().set(h_pad = 0)
+    ax_time = fig.add_subplot(spec[:, 0], frameon=False)
+    ax_time_h = fig.add_subplot(spec[0, 0])
+    ax_time_l = fig.add_subplot(spec[1, 0])
+    ax_mem = fig.add_subplot(spec[:, 1])
+    split_axis(ax_time_h, ax_time_l)
+    # plot_children(fig)
+
+    # Plot the data
+    df["Time (s)"].plot(kind='bar', ax=ax_time_h)
+    fig.legend(loc='outside upper center', ncol=3, title="Zarr V3 implementation", borderaxespad=0)
+    df["Time (s)"].plot(kind='bar', ax=ax_time_l)
+    df["Memory (GB)"].plot(kind='bar', ax=ax_mem)
+
+    # Adjust limits
+    ax_time_l.set_ylim(0, 4)
+    ax_time_h.set_ylim(20, 80)
+    ax_mem.set_ylim(0, 30)
+
+    # Styling
+    ax_time.tick_params(labelcolor='none', which='both', top=False, bottom=False, left=False, right=False)
+    ax_time.set_ylabel("Elapsed time (s)")
+    ax_time_h.set_ylabel("Phony", color='none')
+    ax_mem.set_ylabel("Peak memory usage (GB)")
+    ax_time_l.tick_params(axis='x', labelrotation=0)
+    ax_mem.tick_params(axis='x', labelrotation=0)
+
+    ax_time_l.get_legend().remove()
+    ax_time_h.get_legend().remove()
+    ax_mem.get_legend().remove()
+
+    fig.savefig("docs/benchmark_read_all.svg")
+    fig.savefig("docs/benchmark_read_all.pdf")
+
+def interleave_repeat_list(lst, n):
+    # Interleave the list n times
+    interleaved_list = [item for item in lst for _ in range(n)]
+    return interleaved_list
+
+def plot_read_chunks():
+    df = pd.read_csv("docs/benchmark_read_chunks.csv", header=[0, 1], index_col=[0, 1])
+    # df.assign(Concurrency=df.index.get_level_values('Concurrency'))
+    df = df.reset_index(level=1)
+    print(df)
+
+    fig = plt.figure(figsize=(9, 4), layout="constrained")
+    spec = fig.add_gridspec(2, 2, hspace=0.005)
+    fig.get_layout_engine().set(h_pad = 0)
+    ax_time_h = fig.add_subplot(spec[0, 0])
+    ax_time_l = fig.add_subplot(spec[1, 0])
+    ax_mem = fig.add_subplot(spec[:, 1])
+    split_axis(ax_time_h, ax_time_l)
+
+    cmap = plt.rcParams['axes.prop_cycle'].by_key()['color'][:3]
+    print(df.groupby("Image"))
+    image_ls = {'data/benchmark.zarr': ":", 'data/benchmark_compress.zarr': '--', 'data/benchmark_compress_shard.zarr': '-'}
+    for image, row in df.groupby("Image"):
+        row.plot(x="Concurrency", y="Time (s)", ax=ax_time_h, color=cmap, ls=image_ls[image])
+        row.plot(x="Concurrency", y="Time (s)", ax=ax_time_l, color=cmap, ls=image_ls[image])
+        row.plot(x="Concurrency", y="Memory (GB)", ax=ax_mem, color=cmap, ls=image_ls[image])
+        print(row)
+
+    # Custom legend
+    cmap = plt.rcParams['axes.prop_cycle'].by_key()['color']
+    custom_lines = [Line2D([0], [0], color=cmap[0]),
+                Line2D([0], [0], color=cmap[1]),
+                Line2D([0], [0], color=cmap[2])]
+    fig.legend(custom_lines, [implementation.replace(" ", " ") for implementation in implementations.values()], loc="outside upper left", ncol=2, title="Zarr V3 implementation", borderaxespad=0)
+    custom_lines = [Line2D([0], [0], color='k', ls=':'),
+                Line2D([0], [0], color='k', ls='--'),
+                Line2D([0], [0], color='k', ls='-')]
+    fig.legend(custom_lines, images.values(), loc="outside upper right", ncol=2, title="Dataset", borderaxespad=0)
+
+    ax_time_h.get_legend().remove()
+    ax_time_l.get_legend().remove()
+    ax_mem.get_legend().remove()
+
+    ax_all = fig.add_subplot(spec[1, :], frameon=False)
+    ax_all.tick_params(labelcolor='none', which='both', top=False, bottom=False, left=False, right=False)
+    ax_all.set_xlabel("Concurrent chunks")
+
+    ax_time = fig.add_subplot(spec[:, 0], frameon=False)
+    ax_time.tick_params(labelcolor='none', which='both', top=False, bottom=False, left=False, right=False)
+    ax_time.set_ylabel("Elapsed time (s)")
+
+    ax_mem.set_ylim(0, 30)
+    ax_time_h.set_ylim(4, 110)
+    ax_time_h.set_yticks([10, 30, 50, 70, 90, 110])
+    ax_time_l.set_ylim(0, 4)
+    ax_time_l.set_yticks([0, 1, 2, 3, 4])
+    ax_mem.set_xlim(1, 32)
+    ax_time_h.set_xlim(1, 32)
+    ax_time_l.set_xlim(1, 32)
+    ax_mem.set_xticks([1, 2, 4, 8, 16, 32])
+    ax_time_h.set_xticks([1, 2, 4, 8, 16, 32])
+    ax_time_l.set_xticks([1, 2, 4, 8, 16, 32])
+    ax_time_h.set_xlabel(None)
+    ax_time_l.set_xlabel(None)
+    ax_mem.set_xlabel(None)
+    ax_mem.set_ylabel("Peak memory usage (GB)")
+
+    fig.savefig("docs/benchmark_read_chunks.svg")
+    fig.savefig("docs/benchmark_read_chunks.pdf")
+
+
+if __name__ == "__main__":
+    plot_read_all()
+    plot_read_chunks()
+
+plt.show()
diff --git a/scripts/run_benchmark_read_all.py b/scripts/run_benchmark_read_all.py
index 2ada637..2ae9219 100755
--- a/scripts/run_benchmark_read_all.py
+++ b/scripts/run_benchmark_read_all.py
@@ -18,7 +18,7 @@ def clear_cache():
 
 implementations = [
     "zarrs_rust",
-    "zarrs_rust_async",
+    # "zarrs_rust_async",
     "tensorstore_python",
     "zarr_python",
 ]
@@ -108,8 +108,15 @@ def clear_cache():
 
 # print(data)
 
+# Print and save as CSV
 df = pd.DataFrame.from_dict(data, orient="tight")
 print(df)
 print()
-df.columns = columns_markdown
-print(df.to_markdown(floatfmt=".02f"))
+df.to_csv("docs/benchmark_read_all.csv")
+
+# Print and save markdown
+df_markdown = df.copy()
+df_markdown.columns = columns_markdown
+print(df_markdown.to_markdown(floatfmt=".02f"))
+df_markdown.to_markdown("docs/benchmark_read_all.md", floatfmt=".02f")
+
diff --git a/scripts/run_benchmark_read_chunks.py b/scripts/run_benchmark_read_chunks.py
index d25a807..0347be7 100755
--- a/scripts/run_benchmark_read_chunks.py
+++ b/scripts/run_benchmark_read_chunks.py
@@ -17,7 +17,7 @@ def clear_cache():
 
 implementations = [
     "zarrs_rust",
-    "zarrs_rust_async",
+    # "zarrs_rust_async",
     "tensorstore_python",
     "zarr_python",
 ]
@@ -101,9 +101,15 @@ def clear_cache():
 
 # print(data)
 
+# Print and save as CSV
 df = pd.DataFrame.from_dict(data, orient="tight")
 print(df)
 print()
-df.columns = columns_markdown
-df.reset_index(inplace=True)
-print(df.to_markdown(index=False, floatfmt=".02f"))
+df.to_csv("docs/benchmark_read_chunks.csv")
+
+# Print and save markdown
+df_markdown = df.copy()
+df_markdown.columns = columns_markdown
+df_markdown.reset_index(inplace=True)
+print(df_markdown.to_markdown(index=False, floatfmt=".02f"))
+df_markdown.to_markdown("docs/benchmark_read_chunks.md", floatfmt=".02f")