Our algorithm is a tool for efficient ... Coloring Using Palettes With Applications in Quantum Computing, 2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS) (2024).

CUDA is a parallel computing platform and programming model ... signal processing, and parallel algorithms. In general, CUDA libraries support all families of NVIDIA GPUs, but perform best on ...

Students taking the course for COMP_SCI 368 credit will work on labs that utilize advanced parallel programming, data layout, and algorithm decomposition concepts. Students taking the course for ...

The PNNL team is optimistic that Picasso will pave the way for more efficient quantum computing, making it faster and more accessible for solving the world’s toughest problems. With this breakthrough, ...

Google DeepMind's AlphaEvolve AI system breaks a 56-year-old mathematical record by discovering a more efficient matrix ...

He has made deep and wide-ranging contributions to many areas of parallel computing including programming languages, compilers, and runtime systems for multicore, manycore and distributed computers.

but one thing that they’re not good at is being a general-purpose parallel computer. This really ticked [Raph Levien] off and it inspired him to cover his grievances. Although the interaction ...

from parallel computer architecture to parallel programming and parallel algorithms. He is also active in the application areas of weather and climate simulations as well as machine learning, with a ...