AbstractOne of the keys to tap the full performance potential of current hardware is the optimal utilization of cache memory. Cache oblivious algorithms are designed to inherently benefit from any underlying hierarchy of caches, but do not need to know about the exact structure of the cache. In this paper, we present a cache oblivious algorithm for matrix multiplication. The algorithm uses a block recursive structure and an element ordering that is based on Peano curves. In the resulting code, index jumps can be totally avoided, which leads to an asymptotically optimal spatial and temporal locality of the data access
In this paper we demonstrate the practical portability of a simple version of matrix multiplication ...
AbstractPermuting a vector is a fundamental primitive which arises in many applications. In particul...
In this work, we study the cache-oblivious computation model, which is inspired by the behaviour of ...
AbstractOne of the keys to tap the full performance potential of current hardware is the optimal uti...
This report deals with the ecient calculation of matrix-matrix multiplication, without using explici...
Data movements between different levels of the memory hierarchy (I/O-transitions, or simply I/O s) a...
AbstractIn this paper we construct an analytic model of cache misses during matrix multiplication. T...
In this article, we introduce a cache-oblivious method for sparse matrix–vector multiplication. Our ...
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...
Abstract Intuitively, a cache-oblivious algorithm implements an adaptive strategy which runs efficie...
In this paper we construct an analytic model of cache misses during matrix multiplication. The analy...
Let X[0..n-1] and Y[0..m-1] be two sorted arrays, and define the m×n matrix A by A[j][i]=X[i]+Y[j]. ...
The sparse matrix–vector (SpMV) multiplication is an important kernel in many applications. When the...
Cache-oblivious algorithms have been advanced as a way of circumventing some of the difficulties of ...
In this paper we demonstrate the practical portability of a simple version of matrix multiplication ...
AbstractPermuting a vector is a fundamental primitive which arises in many applications. In particul...
In this work, we study the cache-oblivious computation model, which is inspired by the behaviour of ...
AbstractOne of the keys to tap the full performance potential of current hardware is the optimal uti...
This report deals with the ecient calculation of matrix-matrix multiplication, without using explici...
Data movements between different levels of the memory hierarchy (I/O-transitions, or simply I/O s) a...
AbstractIn this paper we construct an analytic model of cache misses during matrix multiplication. T...
In this article, we introduce a cache-oblivious method for sparse matrix–vector multiplication. Our ...
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...
Abstract Intuitively, a cache-oblivious algorithm implements an adaptive strategy which runs efficie...
In this paper we construct an analytic model of cache misses during matrix multiplication. The analy...
Let X[0..n-1] and Y[0..m-1] be two sorted arrays, and define the m×n matrix A by A[j][i]=X[i]+Y[j]. ...
The sparse matrix–vector (SpMV) multiplication is an important kernel in many applications. When the...
Cache-oblivious algorithms have been advanced as a way of circumventing some of the difficulties of ...
In this paper we demonstrate the practical portability of a simple version of matrix multiplication ...
AbstractPermuting a vector is a fundamental primitive which arises in many applications. In particul...
In this work, we study the cache-oblivious computation model, which is inspired by the behaviour of ...