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Abstract—Recent developments in computational sciences, in-volving both hardware and software, allow reflection on the way that computers of the future will be assembled and software for them written. In this contribution we combine recent results concerning possible designs of future processors, ways they will be combined to build scalable (super)computers, and generalized matrix multiplication. As a result we propose a novel library of routines, based on generalized matrix multiplication that facilitates (matrix / image) manipulations. I
Abstract. Moore’s Law suggests that the number of processing cores on a single chip increases expone...
Matrix multiplication is required for a wide variety of applications, including data mining, linear ...
The work is concerned with the power increase methods of the microprocessors. The aim of the work is...
Abstract. Recent advances in computing allow taking new look at ma-trix multiplication, where the ke...
Since the beginning of the 21st century, we observe rapid changes in the area of, broadly understood...
Using super-resolution techniques to estimate the direction that a signal arrived at a radio receive...
A novel parallel algorithm for matrix multiplication is presented. It is based on a 1-D hyper-systol...
The generic matrix multiply (GEMM) function is the core element of high-performance linear algebra l...
This paper presents initial experiments in implementing two notable matrix multiplication algorithms...
International audienceThis paper proposes a micro-kernel to efficiently compute 4x4 8-bit matrix mul...
Abstract. Traditional parallel programming methodologies for improv-ing performance assume cache-bas...
Matrix-matrix multiplication is one of the core computations in many algorithms from scientific comp...
ABSTRACT: In this paper, we have proposed one designs for matrix-matrix multiplication. The one desi...
Matrix multiplication is one of the important operations in scientific and engineering application. ...
To solve the computational complexity and time-consuming problem of large matrix multiplication, thi...
Abstract. Moore’s Law suggests that the number of processing cores on a single chip increases expone...
Matrix multiplication is required for a wide variety of applications, including data mining, linear ...
The work is concerned with the power increase methods of the microprocessors. The aim of the work is...
Abstract. Recent advances in computing allow taking new look at ma-trix multiplication, where the ke...
Since the beginning of the 21st century, we observe rapid changes in the area of, broadly understood...
Using super-resolution techniques to estimate the direction that a signal arrived at a radio receive...
A novel parallel algorithm for matrix multiplication is presented. It is based on a 1-D hyper-systol...
The generic matrix multiply (GEMM) function is the core element of high-performance linear algebra l...
This paper presents initial experiments in implementing two notable matrix multiplication algorithms...
International audienceThis paper proposes a micro-kernel to efficiently compute 4x4 8-bit matrix mul...
Abstract. Traditional parallel programming methodologies for improv-ing performance assume cache-bas...
Matrix-matrix multiplication is one of the core computations in many algorithms from scientific comp...
ABSTRACT: In this paper, we have proposed one designs for matrix-matrix multiplication. The one desi...
Matrix multiplication is one of the important operations in scientific and engineering application. ...
To solve the computational complexity and time-consuming problem of large matrix multiplication, thi...
Abstract. Moore’s Law suggests that the number of processing cores on a single chip increases expone...
Matrix multiplication is required for a wide variety of applications, including data mining, linear ...
The work is concerned with the power increase methods of the microprocessors. The aim of the work is...
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