Parallel time integration using Batched BLAS (Basic Linear Algebra Subprograms) routines

PB-BLAS: a set of parallel block basic linear algebra subprograms

We propose a new software package which would be very useful for implementing dense linear algebra algorithms on block-partitioned matrices. The routines are referred to as block basic linear algebra subprograms (BLAS), and their use is restricted to computations in which one or more of the matrices involved consists of a single row or column of blocks, and in which no more than one of the matr...

Two Dimensional Basic Linear Algebra Communication Subprograms

Lightning Talk: Creating a Standardised Set of Batched BLAS Routines

One trend in modern high performance computing is to decompose a large linear algebra problem into thousands of small problems that can be solved independently. For this purpose we are developing a new BLAS standard (Batched BLAS), allowing users to perform thousands of small BLAS operations in parallel and making efficient use of their hardware. We discuss and introduce some details about how ...

Towards Reversible Basic Linear Algebra Subprograms: A Performance Study

Problems such as fault tolerance and scalable synchronization can be efficiently solved using reversibility of applications. Making applications reversible by relying on computation rather than on memory is ideal for large scale parallel computing, especially for the next generation of supercomputers in which memory is expensive in terms of latency, energy, and price. In this direction, a case ...

An Extended Set of Fortran Basic Linear Algebra Subprograms

This paper describes an extension to the set of Basic Linear Algebra Subprograms. The extensions are targeted at matrix-vector operations which should provide for efficient and portable implementations of algorithms for high performance computers. An Extended Set of Fortran Basic Linear Algebra Subprograms Jack J. Dongarra † Mathematics and Computer Science Division Argonne National Laboratory ...