SLATE: Design of a Modern Distributed and Accelerated Linear Algebra Library

TitleSLATE: Design of a Modern Distributed and Accelerated Linear Algebra Library
Publication TypeConference Paper
Year of Publication2019
AuthorsGates, M., J. Kurzak, A. Charara, A. YarKhan, and J. Dongarra
Conference NameInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC19)
Date Published2019-11
Conference LocationDenver, CO

The SLATE (Software for Linear Algebra Targeting Exascale) library is being developed to provide fundamental dense linear algebra capabilities for current and upcoming distributed high-performance systems, both accelerated CPU-GPU based and CPU based. SLATE will provide coverage of existing ScaLAPACK functionality, including the parallel BLAS; linear systems using LU and Cholesky; least squares problems using QR; and eigenvalue and singular value problems. In this respect, it will serve as a replacement for ScaLAPACK, which after two decades of operation, cannot adequately be retrofitted for modern accelerated architectures. SLATE uses modern techniques such as communication-avoiding algorithms, lookahead panels to overlap communication and computation, and task-based scheduling, along with a modern C++ framework. Here we present the design of SLATE and initial reports of several of its components.

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