High Speed Math! (an introduction to using PETSc and SLEPc)

This session will focus on how to do high speed math using PETSc and SLEPc. PETSc, pronounced PET-see (the S is silent), is a suite of data structures and routines for the scalable (parallel) solution of scientific applications modeled by partial differential equations. It supports MPI, shared memory pthreads, and GPUs through CUDA or OpenCL, as well as hybrid MPI-shared memory pthreads or MPI-GPU parallelism. SLEPc is an extension of PETSc and can be used for linear eigenvalue problems in either standard or generalized form, with real or complex arithmetic. It can also be used for computing a partial SVD of a large, sparse, rectangular matrix, and to solve nonlinear eigenvalue problems (quadratic or genuinely nonlinear). Additionally, SLEPc provides solvers for the computation of the action of a matrix function on a vector.