The multicore revolution is underway. Classical algorithms have to be revisited in order to take hierarchical memory layout into account. In this paper, we aim at minimizing the number of cache misses paid during the execution of the matrix product kernel on a multicore processor, and we show how th achieve the best possible trade-off between shared and distributed caches
AbstractIn this article, we present a fast algorithm for matrix multiplication optimized for recent ...
Abstract-- In this work, the performance of basic and strassen’s matrix multiplication algorithms ar...
During the last half-decade, a number of research efforts have centered around developing software f...
The multicore revolution is underway. Classical algorithms have to be revisited in order to take hie...
The multicore revolution is underway. Classi-cal algorithms have to be revisited in order to take hi...
International audienceThe multicore revolution is underway. Classical algorithms must be revisited i...
nombre de pages: 25The multicore revolution is underway, bringing new chips introducing more complex...
The multicore revolution is underway, bringing new chips introducing more complex memory architectur...
In previous work, a cache-aware sparse matrix multiplication for linear programming interior point m...
This report deals with the ecient calculation of matrix-matrix multiplication, without using explici...
This Master Thesis examines if a matrix multiplication program that combines the two efficiency stra...
In this thesis we introduce a cost measure to compare the cache- friendliness of different permutati...
In modern clustering environments where the memory hierarchy has many layers (distributed memory, sh...
As computation processing capabilities have outstripped memory transport speeds, memory management c...
International audienceIn this paper, a new methodology for computing the Dense Matrix Vector Multipl...
AbstractIn this article, we present a fast algorithm for matrix multiplication optimized for recent ...
Abstract-- In this work, the performance of basic and strassen’s matrix multiplication algorithms ar...
During the last half-decade, a number of research efforts have centered around developing software f...
The multicore revolution is underway. Classical algorithms have to be revisited in order to take hie...
The multicore revolution is underway. Classi-cal algorithms have to be revisited in order to take hi...
International audienceThe multicore revolution is underway. Classical algorithms must be revisited i...
nombre de pages: 25The multicore revolution is underway, bringing new chips introducing more complex...
The multicore revolution is underway, bringing new chips introducing more complex memory architectur...
In previous work, a cache-aware sparse matrix multiplication for linear programming interior point m...
This report deals with the ecient calculation of matrix-matrix multiplication, without using explici...
This Master Thesis examines if a matrix multiplication program that combines the two efficiency stra...
In this thesis we introduce a cost measure to compare the cache- friendliness of different permutati...
In modern clustering environments where the memory hierarchy has many layers (distributed memory, sh...
As computation processing capabilities have outstripped memory transport speeds, memory management c...
International audienceIn this paper, a new methodology for computing the Dense Matrix Vector Multipl...
AbstractIn this article, we present a fast algorithm for matrix multiplication optimized for recent ...
Abstract-- In this work, the performance of basic and strassen’s matrix multiplication algorithms ar...
During the last half-decade, a number of research efforts have centered around developing software f...