As someone who has spent the better part of two decades optimizing distributed systems—from early MapReduce clusters to ...

Dr. Hoefler’s research aims at understanding the performance of parallel computing systems ranging from parallel computer architecture through parallel programming to parallel algorithms. He is also ...

Microsoft already have a parallel computing division, which concentrates on distributed computing, task concurrency and data parallelism, all easily scalable. ICS's systems, meanwhile, have ...

In this process, MicroAlgo's multi-simulator collaborative algorithm takes advantage of distributed computing. The distributed computing framework not only fully utilizes the computational ...

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.

If you have cloud and distributed computing skills, your job prospects for 2016 are golden. That’s because those particular job skills—which parallel the rise of Hadoop and other distributed computing ...

Google's new "TF-Replicator" technology is meant to be drop-dead simple distributed computing for AI researchers. ... using 32 of Google's Tensor Processing Unit chips operating in parallel.

Parallel computing has long been a stumbling block for scaling big data and AI applications (not to mention HPC), and Ray provides a simplified path forward. “There’s a huge gap between what it takes ...