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
Multiprocessors with shared memory are considered more general and easier to program than message-pa...
In this paper, a new methodology for speeding up Matrix–Matrix Multiplication using Single Instruct...
We describe a model that enables us to analyze the running time of an algorithm in a computer with a...
nombre de pages: 25The multicore revolution is underway, bringing new chips introducing more complex...
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...
The multicore revolution is underway, bringing new chips introducing more complex memory architectur...
This thesis focus on memory-aware algorithms tailored for hierarchical memory architectures, found f...
One of the challenges to achieving good performance on multicore architectures is the effective util...
Cette thèse s intéresse aux algorithmes adaptés aux architectures mémoire hiérarchiques, rencontrées...
Rezaul Alam Chowdhury of Boston University presented a lecture on March 28, 2011 from 10:00 am to 11...
Reordering instructions and data layout can bring significant performance improvement for memory bou...
While the growing number of cores per chip allows researchers to solve larger scientific and enginee...
In previous work, a cache-aware sparse matrix multiplication for linear programming interior point m...
Multiprocessors with shared memory are considered more general and easier to program than message-pa...
In this paper, a new methodology for speeding up Matrix–Matrix Multiplication using Single Instruct...
We describe a model that enables us to analyze the running time of an algorithm in a computer with a...
nombre de pages: 25The multicore revolution is underway, bringing new chips introducing more complex...
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...
The multicore revolution is underway, bringing new chips introducing more complex memory architectur...
This thesis focus on memory-aware algorithms tailored for hierarchical memory architectures, found f...
One of the challenges to achieving good performance on multicore architectures is the effective util...
Cette thèse s intéresse aux algorithmes adaptés aux architectures mémoire hiérarchiques, rencontrées...
Rezaul Alam Chowdhury of Boston University presented a lecture on March 28, 2011 from 10:00 am to 11...
Reordering instructions and data layout can bring significant performance improvement for memory bou...
While the growing number of cores per chip allows researchers to solve larger scientific and enginee...
In previous work, a cache-aware sparse matrix multiplication for linear programming interior point m...
Multiprocessors with shared memory are considered more general and easier to program than message-pa...
In this paper, a new methodology for speeding up Matrix–Matrix Multiplication using Single Instruct...
We describe a model that enables us to analyze the running time of an algorithm in a computer with a...