Semiconductor News & Analysis Feed
12 articles
2026-07-27
news.google.com
2026-07-27
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
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
2026-06-23
thequantuminsider.com
2026-06-23
Qilimanjaro Quantum Tech has integrated its QiliSDK with NVIDIA's CUDA-Q platform, enabling researchers to leverage GPU acceleration for large-scale quantum workflow emulation on classical hardware. This advancement supports a multimodal computing approach across CPUs, GPUs, and both digital and ana
2026-06-11
www.phoronix.com
2026-06-11
AMD's latest local AI server solution, the Lemonade SDK version 10.7, introduces support for NVIDIA CUDA, marking a significant step toward cross-platform compatibility. Originally designed to work across AMD CPUs, GPUs, and NPUs, the SDK now also supports NVIDIA's ecosystem, enabling a consistent l
2026-05-28
www.phoronix.com
2026-05-28
NVIDIA's release of CUDA 13.3 marks a significant step forward in its unified GPU programming stack, introducing CUDA Python 1.0 for stable Python-based GPU computing and CUDA Tile for C++, expanding support for high-performance computing across multiple languages. The update also features the Compi
2026-05-27
developer.nvidia.com
2026-05-27
NVIDIA's release of CUDA 13.3 introduces significant enhancements for GPU developers, including the new Tile programming model, compiler auto-tuning capabilities, and improved Python support. The Tile programming in C++ enables high-level kernel development that abstracts complex low-level GPU opera
2026-05-27
developer.nvidia.com
2026-05-27
NVIDIA has introduced support for C++ in its CUDA Tile programming model with the release of CUDA 13.3, enabling developers to write highly optimized GPU kernels using a tile-based abstraction within existing C++ codebases. This advancement simplifies GPU programming by abstracting away low-level de