NVIDIA's new cuda.compute library topped GPU MODE benchmarks, delivering CUDA C++ performance through pure Python with 2-4x speedups over custom kernels. NVIDIA's CCCL team just demonstrated that ...

Abstract: In modern software development, Python third-party libraries play a critical role, especially in fields like deep learning and scientific computing. However, API parameters in these ...

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 ...

The relevant question is where incremental workloads go when Python-native researchers can write performant kernels without scarce CUDA specialists, and when the same code can run on cheaper or more ...

A newly discovered campaign has compromised tens of thousands of outdated or end-of-life (EoL) ASUS routers worldwide, predominantly in Taiwan, the U.S., and Russia, to rope them into a massive ...

Collaboration accelerates quantum simulations by orders of magnitude, expanding global access to hybrid quantum computing and advancing the path toward industrial-scale quantum systems Powered by ...

Collaboration accelerates quantum simulations by orders of magnitude, expanding global access to hybrid quantum computing and advancing the path toward industrial-scale quantum systems The upgraded ...

Collaboration accelerates quantum simulations by orders of magnitude, expanding global access to hybrid quantum computing and advancing the path toward industrial-scale quantum systems GPU-Accelerated ...

With Python running natively onchain, developers can build smart contracts using regular programming practices while ensuring reliability and efficiency. Hathor is preparing to launch Nano Contracts, ...

For most of human history, mapping the universe meant staring up at the night sky. Today, it means crunching trillions of data points drawn from the faint light of billions of galaxies. However, as ...