AbstractIn this paper we will present a detailed study on tuning double-precision matrix-matrix multiplication (DGEMM) on the Intel Xeon E5-2680 CPU. We selected an optimal algorithm from the instruction set perspective as well software tools optimized for Intel Advance Vector Extensions (AVX). Our optimizations included the use of vector memory operations, and AVX instructions. Our proposed algorithm achieves a performance improvement of 33% compared to the latest results achieved using the Intel Math Kernel Library DGEMM subroutine
Abstract. Moore’s Law suggests that the number of processing cores on a single chip increases expone...
In this paper, a new methodology for computing the Dense Matrix Vector Multiplication, for both embe...
In this project I optimized the Dense Matrix-Matrix multiplication calculation by tiling the matrice...
AbstractIn this paper we will present a detailed study on tuning double-precision matrix-matrix mult...
AbstractThis paper presents results of our study on double-precision general matrix-matrix multiplic...
Matrix multiplication is at the core of high-performance numerical computation. Software methods of ...
The performance of a parallel matrix-matrix-multiplication routine with the same functionality as DG...
his paper presents the design and implementation of a highly efficient Double-precision General Matr...
This paper examines how to write code to gain high performance on modern computers as well as the im...
In heterogeneous systems that include CPUs and GPUs, the data transfers between these components pla...
In this paper we discuss new Intel instruction extensions - Intel Advance Vector Extensions 2 (AVX2)...
학위논문 (석사)-- 서울대학교 대학원 : 자연과학대학 수리과학부, 2018. 2. 신동우.This paper presents the design and implementation...
For the past decade, power/energy consumption has become a limiting factor for large-scale and embed...
For the past decade, power/energy consumption has become a limiting factor for large-scale and embed...
AbstractIn this paper we take a look at what the new Intel instruction extensions - Intel Advance Ve...
Abstract. Moore’s Law suggests that the number of processing cores on a single chip increases expone...
In this paper, a new methodology for computing the Dense Matrix Vector Multiplication, for both embe...
In this project I optimized the Dense Matrix-Matrix multiplication calculation by tiling the matrice...
AbstractIn this paper we will present a detailed study on tuning double-precision matrix-matrix mult...
AbstractThis paper presents results of our study on double-precision general matrix-matrix multiplic...
Matrix multiplication is at the core of high-performance numerical computation. Software methods of ...
The performance of a parallel matrix-matrix-multiplication routine with the same functionality as DG...
his paper presents the design and implementation of a highly efficient Double-precision General Matr...
This paper examines how to write code to gain high performance on modern computers as well as the im...
In heterogeneous systems that include CPUs and GPUs, the data transfers between these components pla...
In this paper we discuss new Intel instruction extensions - Intel Advance Vector Extensions 2 (AVX2)...
학위논문 (석사)-- 서울대학교 대학원 : 자연과학대학 수리과학부, 2018. 2. 신동우.This paper presents the design and implementation...
For the past decade, power/energy consumption has become a limiting factor for large-scale and embed...
For the past decade, power/energy consumption has become a limiting factor for large-scale and embed...
AbstractIn this paper we take a look at what the new Intel instruction extensions - Intel Advance Ve...
Abstract. Moore’s Law suggests that the number of processing cores on a single chip increases expone...
In this paper, a new methodology for computing the Dense Matrix Vector Multiplication, for both embe...
In this project I optimized the Dense Matrix-Matrix multiplication calculation by tiling the matrice...