As Nvidia marks two decades of CUDA, its head of high-performance computing and hyperscale reflects on the platform’s journey, the power of software optimisation, and how the fusion of GPUs and LPUs w ...
CUDA 13.2 extends tile-based GPU programming to older architectures, adds Python profiling tools, and delivers up to 5x speedups with new Top-K algorithms. NVIDIA's CUDA 13.2 release extends its ...
Abstract: Teaching programming is a topic that has generated a high level of interest among researchers in recent decades. In particular, multiple approaches to teaching visual programming have been ...
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 ...
Google has reportedly initiated the TorchTPU project to enhance support for the PyTorch machine learning framework on its tensor processing units (TPUs), aiming to challenge the software dominance of ...
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 ...
Nvidia has updated its CUDA software platform, adding a programming model designed to simplify GPU management. Added in what the chip giant claims is its “biggest evolution” since its debut back in ...
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