Java gpu-acceleration Projects
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TornadoVM
TornadoVM: A practical and efficient heterogeneous programming framework for managed languages
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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.
You don't need to use C++ to interface with CUDA or even write it.
A while ago NVIDIA and the GraalVM team demoed grCUDA which makes it easy to share memory with CUDA kernels and invoke them from any managed language that runs on GraalVM (which includes JIT compiled Python). Because it's integrated with the compiler the invocation overhead is low:
https://developer.nvidia.com/blog/grcuda-a-polyglot-language...
And TornadoVM lets you write kernels in JVM langs that are compiled through to CUDA:
There are similar technologies for other languages/runtimes too. So I don't think that will cause NVIDIA to lose ground.
Index
| Project | Stars | |
|---|---|---|
| 1 | TornadoVM | 1,105 |
| 2 | PhotonCamera | 662 |
