parallel computing with matlab video -凯发k8网页登录

learn how you can use parallel computing toolbox and matlab parallel server to speed up matlab applications by using the desktop and cluster computing hardware you already have. you will learn how minimal programming efforts can speed up your applications on widely available desktop systems equipped with multicore processors and gpus, and how to continue scaling your speed up with a computer cluster.

about the presenter: jiro doke, ph.d. joined mathworks in may 2006 as an application engineer. he received his b.s. from georgia institute of technology and ph.d. from the university of michigan, both in mechanical engineering. his ph.d. research was in biomechanics of human movement, specifically in human gait. his experience in matlab comes from extensive use in graduate school, using the tool for data acquisition, analysis, and visualization. at mathworks, jiro focuses on core matlab, math/statistics/optimization tools, and parallel computing tools.

prior to r2019a, matlab parallel server was called matlab distributed computing server.