On Wednesday, Meta unveiled four new artificial intelligence chips: The MTIA 300, MTIA 400, MTIA 450, and the MTIA 500.

When a videogame wants to show a scene, it sends the GPU a list of objects described using triangles (most 3D models are broken down into triangles). The GPU then runs a sequence called a rendering ...

NVIDIA releases detailed cuTile Python tutorial for Blackwell GPUs, demonstrating matrix multiplication achieving over 90% of cuBLAS performance with simplified code. NVIDIA has published a ...

Parallel Computing starter project to build GPU & CPU kernels in CUDA & C++ and call them from Python without a single line of CMake using PyBind11 ...

Multiplication in Python may seem simple at first—just use the * operator—but it actually covers far more than just numbers. You can use * to multiply integers and floats, repeat strings and lists, or ...

Camilla Gilmore receives funding from the Economic and Social Research Council. Lucy Cragg receives funding from the Economic and Social Research Council. Natasha Guy does not work for, consult, own ...

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...

Abstract: In recent years, there has been significant interest from both academia and industry in applying commodity graphics processing units (GPUs) toward general computing problems. The nVidia CUDA ...