Learning representations is critical for machine learning and very computation-intensive process. There are many opportunities to introduce efficiencies through parallel and distributed computing. The ...

Learn how to design efficient and scalable parallel and distributed algorithms for computer graphics problems, based on problem decomposition, data structures, communication, load balancing, and ...

MATLAB Parallel Server supports batch jobs, interactive parallel computations, and distributed computations with large matrices. Parallel Computing Toolbox™ is a tool that lets you solve ...

Learn the basics of parallel and distributed computing, the programming models, the system challenges, the techniques, and the testing and debugging tools. Skip to main content LinkedIn.

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.

Summary form only given, as follows. The complete presentation was not made available for publication as part of the conference proceedings. Learning representations is critical for machine learning ...