A guide for implementing tridiagonal solvers on GPUs

11Citations
Citations of this article
7Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Tridiagonal solvers are important building blocks for many applications on GPUs. Although a wide range of algorithms and optimizations have been proposed for tridiagonal solvers, there are no comprehensive guidelines for building a high-performance tridiagonal solver for GPUs. In this chapter, we review and summarize several existing optimization strategies, and systematically analyze the purpose for each optimization. Finally, a case study, called SPIKE-CR, is given to demonstrate how to apply the guidelines to build a high-performance GPU tridiagonal solver.

Cite

CITATION STYLE

APA

Chang, L. W., & Hwu, W. M. W. (2014). A guide for implementing tridiagonal solvers on GPUs. In Numerical Computations with GPUs (pp. 29–44). Springer International Publishing. https://doi.org/10.1007/978-3-319-06548-9_2

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free