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 ...

Nvidia earlier this month unveiled CUDA Tile, a programming model designed to make it easier to write and manage programs for GPUs across large datasets, part of what the chip giant claimed was its ...

Parallel reduction computes the sum of all elements in an array by dividing the data among multiple CUDA threads and performing a tree-based reduction in shared ...

NVIDIA has announced partnerships with several operating system providers and package managers to redistribute its CUDA parallel computing platform, aiming to simplify software deployment for ...

NVIDIA's CUDA Toolkit 13.0 introduces innovative features like tile-based programming and unified Arm platform support, enhancing developer productivity and GPU performance. The latest iteration of ...

CUDA enables faster AI processing by allowing simultaneous calculations, giving Nvidia a market lead. Nvidia's CUDA platform is the foundation of many GPU-accelerated applications, attracting ...

As modern .NET applications grow increasingly reliant on concurrency to deliver responsive, scalable experiences, mastering asynchronous and parallel programming has become essential for every serious ...

Every few years or so, a development in computing results in a sea change and a need for specialized workers to take advantage of the new technology. Whether that’s COBOL in the 60s and 70s, HTML in ...

Abstract: Summary form only given. NVIDIA's CUDA architecture provides a powerful platform for writing highly parallel programs. By providing simple abstractions for hierarchical thread organization, ...

LLMs have revolutionized software development by automating coding tasks and bridging the natural language and programming gap. While highly effective for general-purpose programming, they struggle ...