TornadoVM
lamp
TornadoVM | lamp | |
---|---|---|
22 | 1 | |
1,123 | 25 | |
2.8% | - | |
9.9 | 7.1 | |
4 days ago | 6 days ago | |
Java | Scala | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
TornadoVM
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Intel Gaudi 3 AI Accelerator
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:
https://www.tornadovm.org
There are similar technologies for other languages/runtimes too. So I don't think that will cause NVIDIA to lose ground.
- Java VectorAPI compatiblity with TornadoVM GPU programming framework
- Java GPU pre/post processing with ONNX RT and TornadoVM
- FLaNK Stack 05 Feb 2024
- FLaNK 25 December 2023
- GPU Acceleration for Python, JavaScript, Ruby from Java with Truffle
- TornadoVM v1.0 Released
- TornadoVM 1.0
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From CPU to GPU and FPGAs: Supercharging Java Applications with TornadoVM [video]
Presented by Juan Fumero, PhD & Research Fellow (The University of Manchester, UK) during the JVM Language Summit 2023 (Santa Clara CA).
More information on TornadoVM can be found at https://www.tornadovm.org/
Tags: #Java #JVMLS #GPU #FPGA #OpenJDK #GraalVM #AI
lamp
What are some alternatives?
Aparapi - The New Official Aparapi: a framework for executing native Java and Scala code on the GPU.
ocaml-torch - OCaml bindings for PyTorch
openapi4j - OpenAPI 3 parser, JSON schema and request validator.
scanet3 - Type-safe, high performance, distributed Neural networks in Scala
GraalVMREPL - REPL (read–eval–print loop) shell built on top of JavaFX and GraalVM stack, incorporating GraalJS, GraalPython, TruffleRuby and FastR
ctransformers - Python bindings for the Transformer models implemented in C/C++ using GGML library.
kattlo-cli - Kattlo CLI Project
norse - Deep learning with spiking neural networks (SNNs) in PyTorch.
junodb - JunoDB is PayPal's home-grown secure, consistent and highly available key-value store providing low, single digit millisecond, latency at any scale.
hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
jr - JR: streaming quality random data from the command line
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.