The multicore revolution is underway. Classi-cal algorithms have to be revisited in order to take hierarchical memory layout into account. In this paper, we aim at minimizing the num-ber of cache misses paid during the execution of the matrix product kernel on a multicore processor, and we show how to achieve the best possible trade-off between shared and dis-tributed caches.
Abstract. Traditional parallel programming methodologies for improv-ing performance assume cache-bas...
. Many scientific applications handle compressed sparse matrices. Cache behavior during the executio...
International audienceIn this paper, a new methodology for computing the Dense Matrix Vector Multipl...
The multicore revolution is underway. Classical algorithms have to be revisited in order to take hie...
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...
This report deals with the ecient calculation of matrix-matrix multiplication, without using explici...
As computation processing capabilities have outstripped memory transport speeds, memory management c...
This Master Thesis examines if a matrix multiplication program that combines the two efficiency stra...
In previous work, a cache-aware sparse matrix multiplication for linear programming interior point m...
In this thesis we introduce a cost measure to compare the cache- friendliness of different permutati...
Almost every modern processor is designed with a memory hierarchy organized into several levels, eac...
In modern clustering environments where the memory hierarchy has many layers (distributed memory, sh...
Abstract-- In this work, the performance of basic and strassen’s matrix multiplication algorithms ar...
Abstract. Traditional parallel programming methodologies for improv-ing performance assume cache-bas...
. Many scientific applications handle compressed sparse matrices. Cache behavior during the executio...
International audienceIn this paper, a new methodology for computing the Dense Matrix Vector Multipl...
The multicore revolution is underway. Classical algorithms have to be revisited in order to take hie...
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...
This report deals with the ecient calculation of matrix-matrix multiplication, without using explici...
As computation processing capabilities have outstripped memory transport speeds, memory management c...
This Master Thesis examines if a matrix multiplication program that combines the two efficiency stra...
In previous work, a cache-aware sparse matrix multiplication for linear programming interior point m...
In this thesis we introduce a cost measure to compare the cache- friendliness of different permutati...
Almost every modern processor is designed with a memory hierarchy organized into several levels, eac...
In modern clustering environments where the memory hierarchy has many layers (distributed memory, sh...
Abstract-- In this work, the performance of basic and strassen’s matrix multiplication algorithms ar...
Abstract. Traditional parallel programming methodologies for improv-ing performance assume cache-bas...
. Many scientific applications handle compressed sparse matrices. Cache behavior during the executio...
International audienceIn this paper, a new methodology for computing the Dense Matrix Vector Multipl...