CATALOG DESCRIPTION: Parallel computer architecture and programming models. Message passing and shared memory multiprocessors. Scalability, synchronization, memory consistency, cache coherence. Memory ...

In this video from the 2014 Argonne Training Program on Extreme-Scale Computing, James Reinders presents: Computer Architecture and Structured Parallel Programming. At ATPESC 2014, we captured 67 ...

Chip vendor Nvidia plans to use its Cuda parallel computing architecture in all its GPUs (graphics processing units), including its Tegra system-on-a-chip for mobile devices. Chip vendor Nvidia plans ...

It's all about peace, love, understanding and parallel computing according to Nvidia CEO, Jen-Hsun Huang, speaking today at the GPU Technology Conference (GTC) in San Jose, CA. Huang made sure to ...

One of the key trends for Nvidia right now is the growth of CUDA (Compute Unified Device Architecture), Nvidia's programming language for general-purpose GPU computing. In a keynote speech, Huang ...

Graphics processing units (GPUs) were originally designed to perform the highly parallel computations required for graphics rendering. But over the last couple of years, they’ve proven to be powerful ...

One of the big challenges in computer architecture is integrating storage, memory and processing in one unit. This would make computers faster and more energy efficient. Physicists have taken a big ...

Students in today’s mobile technology generation will build the supercomputers of tomorrow. They will have the chance to learn about the powerful technology at the heart of supercomputing through new ...