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

Parallel Computing: The simultaneous processing of computational tasks using multiple computing resources, designed to expedite problem-solving and enhance performance.

In this video, Torsten Hoefler from ETH Zurich presents: Scientific Benchmarking of Parallel Computing Systems. "Measuring and reporting performance of parallel computers constitutes the basis for ...

It’s ideal for working with computations that take a long time to complete; that would benefit from using distributed, parallel frameworks to make them complete faster; and that you’d rather not have ...

Selected advanced topics including: Parallel computing; network security; client-server computing; compression; web applications; wireless and mobile computing.

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.

Commercial software developers writing programs for multicore chips frequently use so-called "lock-free" parallel algorithms, which are relatively easy to generate from standard sequential code.