COMSOL Multiphysics version 6.4 accelerates engineering simulations and multiphysics models. Full GPU support across all physics delivers up to 5× speedups in benchmarks. COMSOL now supports GPU ...

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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 ...

Have you ever imagined running a powerful NVIDIA GPU on a tiny Raspberry Pi? It sounds like a tech enthusiast’s dream, or perhaps a logistical nightmare, but recent breakthroughs have turned this into ...

Abstract: Fast Fourier Transformation (FFT) has been widely recognized as an effective method for reducing the computational density of convolutional neural networks (CNNs). However, existing ...

Discover how GPU-accelerated Polars DataFrames enhance XGBoost model training efficiency, leveraging new features like category re-coding for optimal machine learning workflows. The integration of GPU ...

Nvidia NVDA-0.10%decrease; red down pointing triangle became the first company to hit $5 trillion in market value, the latest milestone in an unprecedented surge that reflects the growing influence of ...

Developers and creatives looking for greater control and privacy with their AI are increasingly turning to locally run models like OpenAI’s new gpt-oss family of models, which are both lightweight and ...

Google is adding GPU acceleration for graphical Linux apps to Android’s Terminal app, but the feature is currently exclusive to the Pixel 10. This feature relies on Gfxstream, a library that forwards ...

Android has long been focused on running mobile apps, but in recent years, features aimed at developers and power users have begun pushing its boundaries. One exciting frontier: running full Linux ...

Google is working to improve the performance of graphical Linux apps on Android, which currently run slowly using inefficient CPU-based rendering. This will be achieved by implementing gfxstream, a ...