Aparapi
TornadoVM
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| Aparapi | TornadoVM | |
|---|---|---|
| 4 | 22 | |
| 459 | 1,105 | |
| 1.7% | 2.8% | |
| 0.0 | 9.9 | |
| over 1 year ago | 7 days ago | |
| Java | Java | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
Aparapi
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WritableImage and real-time ray-tracing. I need help!
That already looks much better. Too bad you're limited to no external dependencies. This could be a nice test project for aparapi (e.g. https://foojay.io/today/high-performance-rendering-in-javafx/).
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What are some new or upcoming Java projects or advancements that excite you the most?
That might be Aparapi; the original version created by AMD was abandoned but there is a community-driven version that is still maintained.
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Scala on the GPU?
There's aparapi: https://github.com/Syncleus/aparapi which support OpenCL.
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Minecraft Snapshot 21w19a - Now Uses Java 16
The closest I know of: https://github.com/Syncleus/aparapi
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
What are some alternatives?
KonaBess - A GPU overclock & undervolt tool for various Snapdragon chips
openapi4j - OpenAPI 3 parser, JSON schema and request validator.
cache2k - Lightweight, high performance Java caching
GraalVMREPL - REPL (read–eval–print loop) shell built on top of JavaFX and GraalVM stack, incorporating GraalJS, GraalPython, TruffleRuby and FastR
wasmer-java - ☕ WebAssembly runtime for Java
kattlo-cli - Kattlo CLI Project
TLS Channel - A Java library that implements a ByteChannel interface over SSLEngine, enabling easy-to-use (socket-like) TLS for Java applications.
junodb - JunoDB is PayPal's home-grown secure, consistent and highly available key-value store providing low, single digit millisecond, latency at any scale.
Agrona - High Performance data structures and utility methods for Java
jr - JR: streaming quality random data from the command line
netlib - An high-performance, hardware-accelerated implementation of Netlib in Java
StableStudio - Community interface for generative AI