In this study, we propose a simple method for fault-tolerant Strassen-like matrix multiplications. The proposed method is based on using two distinct Strassen-like algorithms instead of replicating a given one. We have realized that using two different algorithms, new check relations arise resulting in more local computations. These local computations are found using computer aided search. To improve performance, special parity (extra) sub-matrix multiplications (PSMMs) are generated (two of them) at the expense of increasing communication/computation cost of the system. Our preliminary results demonstrate that the proposed method outperforms a Strassen-like algorithm with two copies and secures a very close performance to three copy versio...
Parallel matrix multiplication is one of the most studied fun-damental problems in distributed and h...
International audienceWe propose several new schedules for Strassen-Winograd's matrix multiplication...
In this paper, we extend the theory of algorithmic fault-tolerant matrix-matrix mul-tiplication, C =...
In this study, we propose a simple method for fault-tolerant Strassen-like matrix multiplications. T...
In this study, we propose a simple method for fault-tolerant Strassen-like matrix multiplications. T...
Abstract: Strassen’s algorithm to multiply two n×n matrices reduces the asymptotic operation count f...
Many fast algorithms in arithmetic complexity have hierarchical or recursive structures that make ef...
Strassen's algorithm for matrix multiplication gains its lower arithmetic complexityatthe expe...
The paper presents analysis of matrix multiplication algorithms from the point of view of their effi...
In this paper a non-recursive Strassen\u2019s matrix multiplication algorithm is presented. This new...
Strassen’s matrix multiplication reduces the computational cost of multiplying matrices of size n × ...
We present a parallel method for matrix multiplication on distributedmemory MIMD architectures based...
The multiplication of a matrix by its transpose, ATA, appears as an intermediate operation in the s...
Abstract. Strassen's algorithm for fast matrix-matrix multiplication has been implemented for m...
Parallel matrix multiplication is one of the most studied fun-damental problems in distributed and h...
Parallel matrix multiplication is one of the most studied fun-damental problems in distributed and h...
International audienceWe propose several new schedules for Strassen-Winograd's matrix multiplication...
In this paper, we extend the theory of algorithmic fault-tolerant matrix-matrix mul-tiplication, C =...
In this study, we propose a simple method for fault-tolerant Strassen-like matrix multiplications. T...
In this study, we propose a simple method for fault-tolerant Strassen-like matrix multiplications. T...
Abstract: Strassen’s algorithm to multiply two n×n matrices reduces the asymptotic operation count f...
Many fast algorithms in arithmetic complexity have hierarchical or recursive structures that make ef...
Strassen's algorithm for matrix multiplication gains its lower arithmetic complexityatthe expe...
The paper presents analysis of matrix multiplication algorithms from the point of view of their effi...
In this paper a non-recursive Strassen\u2019s matrix multiplication algorithm is presented. This new...
Strassen’s matrix multiplication reduces the computational cost of multiplying matrices of size n × ...
We present a parallel method for matrix multiplication on distributedmemory MIMD architectures based...
The multiplication of a matrix by its transpose, ATA, appears as an intermediate operation in the s...
Abstract. Strassen's algorithm for fast matrix-matrix multiplication has been implemented for m...
Parallel matrix multiplication is one of the most studied fun-damental problems in distributed and h...
Parallel matrix multiplication is one of the most studied fun-damental problems in distributed and h...
International audienceWe propose several new schedules for Strassen-Winograd's matrix multiplication...
In this paper, we extend the theory of algorithmic fault-tolerant matrix-matrix mul-tiplication, C =...