Semiconductor News & Analysis Feed

20 articles
2026-08-03
thenextweb.com 2026-08-03
2026-08-03
english.cw.com.tw 2026-08-03
2026-07-28
news.google.com 2026-07-28
2026-07-27
news.google.com 2026-07-27
2026-07-27
news.google.com 2026-07-27
2026-07-27
news.google.com 2026-07-27
2026-07-27
news.google.com 2026-07-27
2026-07-27
news.google.com 2026-07-27
2026-07-27
news.google.com 2026-07-27
2026-07-24
www.pcgamer.com 2026-07-24
At an AI advancement pre-briefing, AMD's VP and GM of its data center GPU business group, Andrew Dieckman, stated that he now has almost no conversations with customers about CUDA. This suggests that CUDA, the core technology that has enabled NVIDIA's dominance in the AI hardware space, may be losin
2026-07-20
www.chosun.com 2026-07-20
2026-07-19
videocardz.com 2026-07-19
2026-07-19
www.chosun.com 2026-07-19
2026-07-16
developer.nvidia.com 2026-07-16
2026-07-11
developer.nvidia.com 2026-07-11
This article explores kernel fusion techniques in NVIDIA CUDA and their impact on GPU performance optimization. Kernel fusion combines multiple GPU operations into a single device kernel, reducing memory traffic and kernel launch overhead. The post demonstrates how traditional two-kernel approaches
2026-07-06
digitimes.com 2026-07-06
2026-06-30
tomshardware.com 2026-06-30
The Zluda project, an open-source CUDA emulator enabling AMD GPUs to run CUDA applications, has released version 6 with new 32-bit PhysX support and enhanced Windows compatibility. Originally targeting Intel hardware in 2020, the project shifted focus to AMD GPUs, gaining momentum in 2022 with fundi
2026-06-24
news.google.com 2026-06-24
2026-06-24
thequantuminsider.com 2026-06-24
The Eclipse Qrisp community has integrated its open-source quantum programming framework with NVIDIA's CUDA-Q platform, marking a significant step forward in quantum software development. This integration allows developers to write quantum programs in Qrisp's intuitive Python-based language and exec
2026-06-24
www.hpcwire.com 2026-06-24
Qilimanjaro's integration of QiliSDK with NVIDIA's CUDA-Q represents a significant advancement in quantum computing simulation capabilities. This collaboration leverages GPU acceleration to dramatically reduce quantum system simulation times, accelerating the practical development of quantum computi