Matthew Nicely

Matthew Nicely joined NVIDIA in March 2019, having previously worked at the U.S. Army Aviation and Missile Research Development and Engineering Center, Huntsville, AL, USA. There, he focused on CUDA algorithm development and optimizations on the Jetson series. At NVIDIA, he has worked in the Federal segment assisting with CUDA development and optimizations, along with education and proof of concepts for customers on various NVIDIA tool sets, before recently transitioning to math libraries product manager. In 2019, he received his Ph.D. degree in computer engineering, focusing on algorithm optimizations on GPUs.

Posts by Matthew Nicely


cuSOLVERMp v0.0.1 Now Available: Through Early Access

cuSOLVERMp provides a distributed-memory multi-node and multi-GPU solution for solving systems of linear equations at scale! In the future, it will also solve… < 1

nvCOMP v2.0.0 Now Available: With New Compressors

nvCOMP is a CUDA library that features generic compression interfaces to enable developers to use high-performance GPU compressors in their applications. < 1
AI / Deep Learning

HPL-AI Now Runs 2x Faster on NVIDIA DGX A100

The HPL-AI (High Performance Linpack – Artificial Intelligence) benchmark helps evaluate the convergence of HPC and data-driven AI workloads. 2 MIN READ

cuTENSOR v1.3.0 Now Available: Up to 2x Performance

cuTENSOR is a high-performance CUDA library for tensor primitives includes extensive mixed-precision support, arbitrary data layouts and more. < 1

cuSPARSELt v0.1.0 Now Available: Arm and Windows Support

NVIDIA announced the availability of cuSPARSELt version 0.1.0. This software can be downloaded now free for members of the NVIDIA Developer Program. 2 MIN READ
AI / Deep Learning

Unifying the CUDA Python Ecosystem

Python plays a key role within the science, engineering, data analytics, and deep learning application ecosystem. NVIDIA has long been committed to helping the… 9 MIN READ