Add to ORKGThis report deals with the ecient calculation of matrix-matrix multiplication, without using explicit information about the underlying hardware architecture, especially without using information about the cache structure which is of great importance in this context
In this work, we study the cache-oblivious computation model, which is inspired by the behaviour of ...
Abstract This paper presents asymptotically optimal algo-rithms for rectangular matrix transpose, FF...
The sparse matrix–vector (SpMV) multiplication is an important kernel in many applications. When the...
This Master Thesis examines if a matrix multiplication program that combines the two efficiency stra...
AbstractOne of the keys to tap the full performance potential of current hardware is the optimal uti...
As computation processing capabilities have outstripped memory transport speeds, memory management c...
Abstract-- In this work, the performance of basic and strassen’s matrix multiplication algorithms ar...
Abstract Intuitively, a cache-oblivious algorithm implements an adaptive strategy which runs efficie...
In this article, we introduce a cache-oblivious method for sparse matrix–vector multiplication. Our ...
Cache-oblivious algorithms have been advanced as a way of circumventing some of the difficulties of ...
Data movements between different levels of the memory hierarchy (I/O-transitions, or simply I/Os) ar...
In previous work, a cache-aware sparse matrix multiplication for linear programming interior point m...
The multicore revolution is underway. Classical algorithms have to be revisited in order to take hie...
nombre de pages: 25The multicore revolution is underway, bringing new chips introducing more complex...
International audienceThe multicore revolution is underway. Classical algorithms must be revisited i...
In this work, we study the cache-oblivious computation model, which is inspired by the behaviour of ...
Abstract This paper presents asymptotically optimal algo-rithms for rectangular matrix transpose, FF...
The sparse matrix–vector (SpMV) multiplication is an important kernel in many applications. When the...
This Master Thesis examines if a matrix multiplication program that combines the two efficiency stra...
AbstractOne of the keys to tap the full performance potential of current hardware is the optimal uti...
As computation processing capabilities have outstripped memory transport speeds, memory management c...
Abstract-- In this work, the performance of basic and strassen’s matrix multiplication algorithms ar...
Abstract Intuitively, a cache-oblivious algorithm implements an adaptive strategy which runs efficie...
In this article, we introduce a cache-oblivious method for sparse matrix–vector multiplication. Our ...
Cache-oblivious algorithms have been advanced as a way of circumventing some of the difficulties of ...
Data movements between different levels of the memory hierarchy (I/O-transitions, or simply I/Os) ar...
In previous work, a cache-aware sparse matrix multiplication for linear programming interior point m...
The multicore revolution is underway. Classical algorithms have to be revisited in order to take hie...
nombre de pages: 25The multicore revolution is underway, bringing new chips introducing more complex...
International audienceThe multicore revolution is underway. Classical algorithms must be revisited i...
In this work, we study the cache-oblivious computation model, which is inspired by the behaviour of ...
Abstract This paper presents asymptotically optimal algo-rithms for rectangular matrix transpose, FF...
The sparse matrix–vector (SpMV) multiplication is an important kernel in many applications. When the...