#parallel programming

TornadoVM, a plugin for OpenJDK and GraalVM, facilitates Java program deployment on various hardware, including Intel and NVIDIA CPUs and GPUs. Supporting OpenCL, PTX, and SPIR-V devices, it allows developers to select backends for enhanced performance. TornadoVM is effective in fields like machine learning and signal processing, utilizing its Loop Parallel and Kernel APIs for parallelism. It self-adjusts for efficiency across devices, making it suitable for developers looking to boost Java efficiency on heterogeneous hardware.

Taichi Lang is an open-source, imperative programming language that excels in high-performance numerical computation. Integrated with Python, it leverages just-in-time (JIT) compiler frameworks such as LLVM to optimize CPU and GPU tasks. Its versatility spans real-time simulations, AI, and visual effects, offering flexible data structuring with features like SNode. The `@ti.kernel` decorator boosts performance by compiling Python functions for parallel execution, making it adaptable to various computing backends.