Unified Parallel C (UPC) is a Partitioned Global Address Space (PGAS) explicit parallel extension of ISO C. The PGAS model provides a global address view for ease of use with locality awareness for efficient execution. Thus, UPC enables programmers to exploit data locality and parallelism while maintaining ease of use.
The Portable Extensible Toolkit for Scientific computing (PETSc) is a modular library for linear algebra, nonlinear solvers, time integrators, optimization, and spatial discretization. Solver configuration and diagnostics are valuable skills for users, whether calling PETSc directly or via one of many higher level packages that access PETSc solvers. This tutorial will start with an introduction to distributed memory parallel programming and the fundamental linear algebra components then proceed to principles of preconditioning and Krylov solvers, convergence d
Registration fee for the meeting is 100 EUR.
Preliminary schedule of the meeting is attached below.
OpenMP is the de-facto standard for shared memory parallel programming. It has been widely accepted in academia and industry for multithreaded applications in the field of High Performance Computing.