docs: refactor and update benchmarks pages

Benchmarks tables are rendered as descriptive SVG images.
Sort results by backend to have a clearer view in tree of content.
PBS benchmarks now display results for various p-fail and several
precisions.

.gitignore

@@ -37,3 +37,4 @@ package-lock.json
 
 # Dir used for backward compatibility test data
 tests/tfhe-backward-compat-data/
+ci/

tfhe/docs/SUMMARY.md

@@ -7,9 +7,12 @@
 * [What is TFHE-rs?](getting_started/readme.md)
 * [Installation](getting_started/installation.md)
 * [Quick start](getting_started/quick_start.md)
-* [Benchmarks](getting_started/benchmarks/summary.md)
-  * [CPU Benchmarks](getting_started/benchmarks/cpu_benchmarks.md)
-  * [GPU Benchmarks](getting_started/benchmarks/gpu_benchmarks.md)
+* [Benchmarks](getting_started/benchmarks/README.md)
+  * [CPU Benchmarks](getting_started/benchmarks/cpu/README.md)
+    * [Integer](getting_started/benchmarks/cpu/cpu_integer_operations.md)
+    * [Programmable bootstrapping](getting_started/benchmarks/cpu/cpu_programmable_bootstrapping.md)
+  * [GPU Benchmarks](getting_started/benchmarks/gpu/README.md)
+    * [Integer](getting_started/benchmarks/gpu/gpu_integer_operations.md)
   * [Zero-knowledge proof benchmarks](getting_started/benchmarks/zk_proof_benchmarks.md)
 * [Security and cryptography](getting_started/security_and_cryptography.md)
 

tfhe/docs/configuration/run_on_gpu.md

@@ -164,7 +164,7 @@ TFHE-rs supports platforms with multiple GPUs. There is **nothing to change in t
 
 ## Benchmark
 
-Please refer to the [GPU benchmarks](../getting_started/benchmarks/gpu_benchmarks.md) for detailed performance benchmark results.
+Please refer to the [GPU benchmarks](../getting_started/benchmarks/gpu/summary.md) for detailed performance benchmark results.
 
 ## Warning
 

tfhe/docs/getting_started/benchmarks/summary.md → tfhe/docs/getting_started/benchmarks/README.md

@@ -1,15 +1,15 @@
 # Benchmarks
 
-This document summarizes the timings of some homomorphic operations over 64-bit encrypted integers, depending on the hardware. More details are given for [the CPU](cpu\_benchmarks.md), [the GPU](gpu\_benchmarks.md), or [zeros-knowledge proofs](zk\_proof\_benchmarks.md).
+This document summarizes the timings of some homomorphic operations over 64-bit encrypted integers, depending on the hardware. More details are given for [the CPU](cpu/summary.md), [the GPU](gpu/summary.md), or [zeros-knowledge proofs](zk_proof_benchmarks.md).
 
-The cryptographic parameters used for benchmarking follow a tweaked uniform (TUniform) noise distribution instead of a Gaussian. The main advantage of this distribution is to be bounded, whereas the usual Gaussian one is not. In some practical cases, this can simplify the use of homomorphic computation. See the [noise section](../security\_and\_cryptography.md#noise) of the Security and cryptography documentation page for more information on the noise distributions.
+The cryptographic parameters used for benchmarking follow a tweaked uniform (TUniform) noise distribution instead of a Gaussian. The main advantage of this distribution is to be bounded, whereas the usual Gaussian one is not. In some practical cases, this can simplify the use of homomorphic computation. See the [noise section](../security_and_cryptography.md#noise) of the Security and cryptography documentation page for more information on the noise distributions.
 
 You can get the parameters used for benchmarks by cloning the repository and checking out the commit you want to use (starting with the v0.8.0 release) and run the following make command:
 
 ```console
 make print_doc_bench_parameters
 ```
 
-### Operation time (ms) over FheUint 64
+### Operation time over FheUint 64
 
-{% embed url="https://docs.google.com/spreadsheets/d/1OMdGSakEUbIFSEQKhAinTolJjvmPBbafi3DEe3UfzsQ/edit?usp=sharing" %}
+![](./cpu_gpu_integer_benchmark_fheuint64_tuniform_2m64_ciphertext.svg)

tfhe/docs/getting_started/benchmarks/cpu/README.md

@@ -0,0 +1,12 @@
+# Benchmarks over CPU
+
+This document details the CPU performance benchmarks of homomorphic operations using **TFHE-rs**.
+
+By their nature, homomorphic operations run slower than their cleartext equivalents.
+
+{% hint style="info" %}
+All CPU benchmarks were launched on an `AWS hpc7a.96xlarge` instance equipped with an `AMD EPYC 9R14 CPU @ 2.60GHz` and 740GB of RAM.
+{% endhint %}
+
+* [Integer operations](cpu_integer_operations.md)
+* [Programmable Bootstrapping](cpu_programmable_bootstrapping.md)