This document describes one possible implementation of a matrix class and matrix multiplication using the data-parallel SIMD types introduced in [N4184]. The example shows the basic use of SIMD types for manual transformation of a loop over scalars to a loop with increased stride using SIMD vector loads and stores and SIMD operations in the loop body
Over the last several years I have been writ-ing a library of C++ classes and functions for manipula...
An extension of Pascal for single instruction multiple data (SIMD) processing is proposed. The langu...
Modern CPUs are equipped with Single Instruction Multiple Data (SIMD) engines operating on short vec...
This article describes how to develop a software test-bed to simulate the excution of instructions o...
SIMD extensions were added to microprocessors in the mid '90s to speed-up data-parallel code by vect...
International audienceSIMD extensions have been a feature of choice for processor manufacturers for ...
Despite the widespread adoption of parallel operations in contemporary CPU designs, their use has be...
Our goal is to apply the software engineering advantages of object-oriented programming to the raw p...
AbstractIn this paper we define a vector model for parallel SIMD execution. The model is based on th...
This paper describes methods to adapt existing optimizing compilers for sequential languages to prod...
The Single Instruction Multiple Data (SIMD) paradigm promises speedup at relatively low silicon area...
As an effective way of utilizing data parallelism in applications, SIMD architecture has been adopte...
As an effective way of utilizing data parallelism in applications, SIMD architecture has been adopte...
Large scale scientific computing raises questions on different levels ranging from the fomulation of...
SIMD instructions are used to speed up multimedia ap-plications in high performance embedded computi...
Over the last several years I have been writ-ing a library of C++ classes and functions for manipula...
An extension of Pascal for single instruction multiple data (SIMD) processing is proposed. The langu...
Modern CPUs are equipped with Single Instruction Multiple Data (SIMD) engines operating on short vec...
This article describes how to develop a software test-bed to simulate the excution of instructions o...
SIMD extensions were added to microprocessors in the mid '90s to speed-up data-parallel code by vect...
International audienceSIMD extensions have been a feature of choice for processor manufacturers for ...
Despite the widespread adoption of parallel operations in contemporary CPU designs, their use has be...
Our goal is to apply the software engineering advantages of object-oriented programming to the raw p...
AbstractIn this paper we define a vector model for parallel SIMD execution. The model is based on th...
This paper describes methods to adapt existing optimizing compilers for sequential languages to prod...
The Single Instruction Multiple Data (SIMD) paradigm promises speedup at relatively low silicon area...
As an effective way of utilizing data parallelism in applications, SIMD architecture has been adopte...
As an effective way of utilizing data parallelism in applications, SIMD architecture has been adopte...
Large scale scientific computing raises questions on different levels ranging from the fomulation of...
SIMD instructions are used to speed up multimedia ap-plications in high performance embedded computi...
Over the last several years I have been writ-ing a library of C++ classes and functions for manipula...
An extension of Pascal for single instruction multiple data (SIMD) processing is proposed. The langu...
Modern CPUs are equipped with Single Instruction Multiple Data (SIMD) engines operating on short vec...