Abstract: Tensor contractions extend the concept of the General Matrix Multiplication (GEMM) to high-dimensional spaces. They enable sophisticated computations in various scientific disciplines.
FuriosaAI Inc., a Seoul-based developer of artificial intelligence chips, is reportedly in talks to raise a new round of funding. Sources told Bloomberg today that the startup is seeking $300 million ...
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 ...
Have you ever faced the daunting task of identifying and prioritizing risks in a project, only to feel overwhelmed by the sheer complexity of it all? Whether you’re managing a multi-million-dollar ...
Hi, thanks for your great work on Transformer Engine! I am working on a project that requires high-performance batched matrix multiplication (i.e., 3D tensor multiplication) where all inputs are ...
Abstract: We investigate the performance of algorithms for sparse tensor-sparse tensor multiplication (SpGETT). This operation, also called sparse tensor contraction, is a higher order analogue of the ...
Last year, I wrote about the massive energy costs of AI and General Purpose Transformers like ChatGPT. The AI capabilities are amazing, but the energy and environmental cost is concerning. To ...
XTC (Exponential Tensor Computing) is a cutting-edge AI framework designed to process complex data at unprecedented speeds. By leveraging advanced tensor operations and optimized algorithms, XTC ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results