NVIDIA's new CUDA Tile IR backend for OpenAI Triton enables Python developers to access Tensor Core performance without CUDA expertise. Requires Blackwell GPUs. NVIDIA has released Triton-to-TileIR, a ...

Python has become a serious ecosystem for GPU programming thanks to frameworks like pycuda , CuPy, Triton, and CuTile. What was once reserved for C/C++ developers is now fully accessible to Python ...

cLean is a domain-specific language (DSL) embedded in Lean 4 for writing, verifying, and executing GPU kernels. It bridges the gap between high-level functional programming and low-level GPU ...

Project Babylon would extend the reach of Java to foreign programming models such as machine learning models, GPUs, SQL, and differential programming. Java would be extended to foreign programming ...

Graphics processing units (GPUs) were originally designed to perform the highly parallel computations required for graphics rendering. But over the last couple of years, they’ve proven to be powerful ...

Support for unified memory across CPUs and GPUs in accelerated computing systems is the final piece of a programming puzzle that we have been assembling for about ten years now. Unified memory has a ...

Luxoft is searching for talented developers with GPU compute and performance profiling experience to join the rapidly growing team. We are seeking an experienced individual proficient in GPGPU ...