Introduction to parallel computing for scientists and engineers. Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and programming.

High Performance Computing (HPC) and parallel programming techniques underpin many of today’s most demanding computational tasks, from complex scientific simulations to data-intensive analytics.

Chemical process simulations are crucial for optimizing industrial operations, but they often require significant ...

COMP_SCI 358: Intro to Parallel Computing VIEW ALL COURSE TIMES AND SESSIONS Prerequisites (CS 213 or (CE 205 & 211)) or MS CS/CE or PhDs CS/CE or permission of Instructor. Description CS 358 serves ...

OpenACC is a user-driven directive-based performance-portable parallel programming model designed for scientists and engineers interested in porting their codes to a wide-variety of heterogeneous HPC ...

And SYCL, you will remember, is the plumbing that Intel has chosen for its OneAPI cross-platform parallel computing programming effort, which was announced last year and which marries data parallel ...

How a 1974 parallel programming model may solve problems with the threading approach, including racing and non-determinism.

On its awards website, IEEE notes Pingali's many contributions to the field. He has made deep and wide-ranging contributions to many areas of parallel computing including programming languages, ...

In this paper we consider a class of parallel machine scheduling problems and their associated set-partitioning formulations. We show that the tightness of the linear programming relaxation of these ...