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Top 23 C++ Benchmark Projects
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As with the assembly code analysis, let's look at two types of operations: sequentially filling an array with random numbers, and randomly accessing arbitrary array elements when we pass it to a function. To compile the code, we used GCC and Clang. We checked both debug (with the -DDEBUG flag) and release builds (with the -O3 level optimizations and the -DNDEBUG flag). And of course, we used Google Benchmark to run the tests.
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Project mention: How much traffic can a pre-rendered Next.js site handle? | news.ycombinator.com | 2025-03-08
I have also found that Next.js is shockingly slow.
I recently added some benchmarks to the TechEmpower Web Framework Benchmarks suite, and Next.js ranked near dead last, even for simple JSON API endpoint (i.e. no React SSR involved): https://www.techempower.com/benchmarks/#section=data-r23&hw=...
I discussed it with a couple of Next.js maintainers (https://github.com/vercel/next.js/discussions/75930), and they indicated that it's only a problem for "standalone" deployments (i.e. not on Vercel). However, I'm not entirely convinced that is true. I wonder if there are major optimizations that could be made to, for example, the routing system.
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FluidX3D
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.
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microservices-framework-benchmark
Raw benchmarks on throughput, latency and transfer of Hello World on popular microservices frameworks
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alpaca
Serialization library written in C++17 - Pack C++ structs into a compact byte-array without any macros or boilerplate code (by p-ranav)
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less_slow.cpp
Learning how to write "Less Slow" code in C++ 20, C 99, CUDA, PTX, & Assembly, from numerics & SIMD to coroutines, ranges, exception handling, networking and user-space IO
Project mention: DeepGEMM: Clean and efficient FP8 GEMM kernels with fine-grained scaling | news.ycombinator.com | 2025-02-25I generally avoid FP8 and prefer I8, but your question got me wondering how well cuBLAS performs.
First of all, cuBLAS needs the cuBLASLt extension API for mixed-precision workloads to handle FP8. Second, some adequate type combinations, like E5M2 x E5M2 for A x B, are not supported, while others, like E5M2 x E4M3, are! Moreover, matrix A must always come in a transposed layout for Ampere, Hopper, and Blackwell... and the list of constraints goes on.
I've integrated FP8 cuBLASLt benchmarks into my "Less Slow C++" repository <https://github.com/ashvardanian/less_slow.cpp>, adding to the list of existing cuBLAS and hand-rolled CUDA and PTX benchmarks. I'm running them on H200 GPUs, which should have the same performance as H100. For square inputs, the throughput peaks around 1.35 Peta-ops.
That's around 67% of the advertised number for dense GEMM <https://resources.nvidia.com/en-us-data-center-overview-mc/e...>.
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mixbench
A GPU benchmark tool for evaluating GPUs and CPUs on mixed operational intensity kernels (CUDA, OpenCL, HIP, SYCL, OpenMP)
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elbencho
A distributed storage benchmark for file systems, object stores & block devices with support for GPUs
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NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
C++ Benchmark discussion
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Index
What are some of the best open-source Benchmark projects in C++? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | benchmark | 9,330 |
| 2 | FrameworkBenchmarks | 7,759 |
| 3 | FluidX3D | 4,306 |
| 4 | coost | 4,071 |
| 5 | cista | 1,965 |
| 6 | nanobench | 1,510 |
| 7 | ut | 1,312 |
| 8 | Celero | 841 |
| 9 | microservices-framework-benchmark | 707 |
| 10 | alpaca | 497 |
| 11 | less_slow.cpp | 495 |
| 12 | mixbench | 389 |
| 13 | BabelStream | 330 |
| 14 | map_benchmark | 301 |
| 15 | ecs_benchmark | 246 |
| 16 | uVkCompute | 234 |
| 17 | ubench.h | 230 |
| 18 | libCacheSim | 207 |
| 19 | OpenCL-Benchmark | 193 |
| 20 | elbencho | 189 |
| 21 | benchmarking-fft | 145 |
| 22 | c2clat | 143 |
| 23 | math-parser-benchmark-project | 140 |
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