The BLAS-like Library Instantiation Software (BLIS) is a framework for the rapid instantiation of basic linear algebra functionality targeting modern CPUs. The current project refactors parts of the framework so as to support new precisions, the mixing of precisions and/or domains, and the synthesis of new BLAS-like operations by users including the tensor contractions of importance to (for example) computational chemistry and BLAS-like operations encountered in machine learning. This open-source software has been embraced by major hardware vendors and various Linux distributions. It is supported by an active developer community and industry
Linear algebra kernels are in the core of many scientific applications. We propose a unified, perfor...
This article describes the design rationale, a C implementation, and conformance testing of a subset...
BLAS benchmark results for: CPUs: Intel Core i7-4790K, Intel Core i5-4590, Intel Core i5-4590, Inte...
The BLAS-like Library Instantiation Software (BLIS) is a framework for the rapid instantiation of ba...
BLIS is a new software framework for instantiating high-performance BLAS-like dense linear algebra l...
<div>Scientific applications such as quantum chemistry are enabled by efficient computational kernel...
Scientific applications are some of the most computationally demanding software pieces. Their core i...
This report summarises the main points raised on a recent workshop discussing various extensions to ...
This paper summarizes the BLAS Technical Forum Standard, a speci- #cation of a set of kernel routine...
<p>The BLAS library is one of the central libraries for the implementation of numerical algorithms. ...
One of the key areas for enabling users to efficiently use an HPC system is providing optimized BLAS...
This article describes the design rationale, a C implementation, and conformance testing of a subse...
Timing results for BLAS (Basic Linear Algebra Subprograms) libraries in R on diverse CPUs and GPUs. ...
This paper proposes an API for Batched Basic Linear Algebra Subprograms (Batched BLAS). We focus on...
BLIS is a new framework for rapid instantiation of the BLAS. We describe how BLIS extends the “GotoB...
Linear algebra kernels are in the core of many scientific applications. We propose a unified, perfor...
This article describes the design rationale, a C implementation, and conformance testing of a subset...
BLAS benchmark results for: CPUs: Intel Core i7-4790K, Intel Core i5-4590, Intel Core i5-4590, Inte...
The BLAS-like Library Instantiation Software (BLIS) is a framework for the rapid instantiation of ba...
BLIS is a new software framework for instantiating high-performance BLAS-like dense linear algebra l...
<div>Scientific applications such as quantum chemistry are enabled by efficient computational kernel...
Scientific applications are some of the most computationally demanding software pieces. Their core i...
This report summarises the main points raised on a recent workshop discussing various extensions to ...
This paper summarizes the BLAS Technical Forum Standard, a speci- #cation of a set of kernel routine...
<p>The BLAS library is one of the central libraries for the implementation of numerical algorithms. ...
One of the key areas for enabling users to efficiently use an HPC system is providing optimized BLAS...
This article describes the design rationale, a C implementation, and conformance testing of a subse...
Timing results for BLAS (Basic Linear Algebra Subprograms) libraries in R on diverse CPUs and GPUs. ...
This paper proposes an API for Batched Basic Linear Algebra Subprograms (Batched BLAS). We focus on...
BLIS is a new framework for rapid instantiation of the BLAS. We describe how BLIS extends the “GotoB...
Linear algebra kernels are in the core of many scientific applications. We propose a unified, perfor...
This article describes the design rationale, a C implementation, and conformance testing of a subset...
BLAS benchmark results for: CPUs: Intel Core i7-4790K, Intel Core i5-4590, Intel Core i5-4590, Inte...