C++ performance-testing Projects
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ctsTraffic
ctsTraffic is a highly scalable client/server networking tool giving detailed performance and reliability analytics
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gpu-kernel-runner
Runs a single CUDA/OpenCL kernel, taking its source from a file and arguments from the command-line
Project mention: How Jensen Huang's Nvidia Is Powering the A.I. Revolution | news.ycombinator.com | 2023-11-29> but all the alternatives require significant redesign in languages and tools people are unfamiliar with and we can't afford that overhead
Where I work, we've made it a principle to stay OpenCL-compatible even while going with NVIDIA due to their better-performing GPUs. I even go as far as writing kernels that can be compiled as either CUDA C++ or OpenCL-C, with a bit of duct-tape adapter headers:
https://github.com/eyalroz/gpu-kernel-runner/blob/main/kerne...
https://github.com/eyalroz/gpu-kernel-runner/blob/main/kerne...
of course, if you're working with higher-level frameworks then it's more difficult, and you depend on whether or not they provided different backends. So, no thrust for AMD GPUs, for example, but pytorch and TensorFlow do let you use them.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
Index
| Project | Stars | |
|---|---|---|
| 1 | ctsTraffic | 163 |
| 2 | gpu-kernel-runner | 18 |