This paper proposes an API for Batched Basic Linear Algebra Subprograms (Batched BLAS). We focus on many independent BLAS operations on small matrices that are grouped together as a single routine, called Batched BLAS routine, with the aim of providing more efficient, but portable, implementations of algorithms on high-performance manycore architectures (like multi/manycore CPU processors, GPUs, and coprocessors)
National audienceDue to non-associativity of floating-point operations and dynamic scheduling on par...
The emergence of multicore and heterogeneous architectures requires many linear algebra algorithms t...
The BLAS-like Library Instantiation Software (BLIS) is a framework for the rapid instantiation of ba...
A current trend in high-performance computing is to decompose a large linear algebra problem into ba...
This paper summarizes the BLAS Technical Forum Standard, a speci- #cation of a set of kernel routine...
One trend in modern high performance computing (HPC) is to decompose a large linear algebra problem ...
This paper describes an approach for the automatic generation and optimization of numerical softwar...
Basic Linear Algebra Subprograms (BLAS) are building blocks for many other matrix computations BLAS ...
Abstract—Scientific programmers often turn to vendor-tuned Basic Linear Algebra Subprograms (BLAS) t...
A technique for optimizing software is proposed that involves the use of a standardized set of compu...
This report summarises the main points raised on a recent workshop discussing various extensions to ...
We describe a subset of the level-1, level-2, and level-3 BLAS implemented for each node of the Conn...
This paper discusses the design of linear algebra libraries for high performance computers. Particul...
We propose two high-level application programming interfaces (APIs) to use a graphics processing uni...
We discuss the interface design for the Sparse Basic Linear Algebra Subprograms (BLAS), the kernels ...
National audienceDue to non-associativity of floating-point operations and dynamic scheduling on par...
The emergence of multicore and heterogeneous architectures requires many linear algebra algorithms t...
The BLAS-like Library Instantiation Software (BLIS) is a framework for the rapid instantiation of ba...
A current trend in high-performance computing is to decompose a large linear algebra problem into ba...
This paper summarizes the BLAS Technical Forum Standard, a speci- #cation of a set of kernel routine...
One trend in modern high performance computing (HPC) is to decompose a large linear algebra problem ...
This paper describes an approach for the automatic generation and optimization of numerical softwar...
Basic Linear Algebra Subprograms (BLAS) are building blocks for many other matrix computations BLAS ...
Abstract—Scientific programmers often turn to vendor-tuned Basic Linear Algebra Subprograms (BLAS) t...
A technique for optimizing software is proposed that involves the use of a standardized set of compu...
This report summarises the main points raised on a recent workshop discussing various extensions to ...
We describe a subset of the level-1, level-2, and level-3 BLAS implemented for each node of the Conn...
This paper discusses the design of linear algebra libraries for high performance computers. Particul...
We propose two high-level application programming interfaces (APIs) to use a graphics processing uni...
We discuss the interface design for the Sparse Basic Linear Algebra Subprograms (BLAS), the kernels ...
National audienceDue to non-associativity of floating-point operations and dynamic scheduling on par...
The emergence of multicore and heterogeneous architectures requires many linear algebra algorithms t...
The BLAS-like Library Instantiation Software (BLIS) is a framework for the rapid instantiation of ba...