CUDA programming has been a valuable component in the Nvidia ecosystem since 2006 and is a linchpin in the company's AI ...

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 ...

The boundaries of computer technology are being redefined ... “DPGA-based diagnostic devices would be highly parallel and ...

CUDA is a parallel computing platform and programming model ... If you can’t find CUDA library routines to accelerate your programs, you’ll have to try your hand at low-level CUDA programming.

This wasn’t a change that was made easily, as parallel computing comes with a whole stack of complications and problems. ILLIAC IV massively parallel computer’s Control Unit (CU). (Credit ...

Parallel computing speeds up data crunching. Projects that took hours now take seconds. It's the fundamental concept that, along with advanced semiconductors, has ushered in the AI boom.

Dispy lets you distribute whole Python programs or just individual ... Short for “Parallel Scripting Library,” Parsl lets you take computing jobs and split them across multiple systems using ...

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.

Flow Computing is making a tough to believe claim: it says it can 100x the performance of any CPU by shifting work to a special parallel processing unit (PPU) inside or outside the chip.