Abstract. In this work we describe an efficient implementation of a hierarchy of algorithms for the decomposition of dense matrices over the field with two elements (F2). Matrix decomposition is an essential building block for solving dense systems of linear and non-linear equations and thus much research has been devoted to improve the asymptotic complexity of such algorithms. In this work we discuss an implementation of both well-known and improved algorithms in the M4RI library. The focus of our discussion is on a new variant of the M4RI algorithm – denoted MMPF in this work – which allows for considerable performance gains in practice when compared to the previously fastest implementation. We provide performance figures on x86 64 CPUs t...
In this article we present a systematic approach to the derivation of families of high-performance a...
The aim of this paper is to propose an efficient algorithm (with polynomial or lower time complexity...
We introduce a new efficient algorithm for computing Groebner-bases named M4GB. Like Faugere's algor...
In this work we describe an efficient implementation of a hierarchy of algorithms for Gaussian elimi...
We describe an efficient implementation of a hierarchy of algorithms for multiplication of dense mat...
International audienceIn this work, we present the M4RIE library which implements efficient algorith...
Abstract. On many high-speed computers the dense matrix technique is preferable to sparse matrix tec...
Abstract: Few realize that, for large matrices, many dense matrix computations achieve nearly the sa...
Abstract. In this paper, we present a novel algorithm of optimal matrix partitioning for parallel de...
Hierarchical matrix (H-matrix) techniques can be used to efficiently treat dense matrices. With an H...
We present a method of computing with matrices over very small finite fields of size larger than 2. ...
We investigate a parallelization strategy for dense matrix factorization (DMF) algorithms, using Ope...
Many matrices in scientific computing, statistical inference, and machine learning exhibit sparse an...
This paper introduces a new efficient algorithm for computing Gröbner-bases named M4GB. Like Faugère...
International audienceThis paper considers elimination algorithms for sparse matrices over finite fi...
In this article we present a systematic approach to the derivation of families of high-performance a...
The aim of this paper is to propose an efficient algorithm (with polynomial or lower time complexity...
We introduce a new efficient algorithm for computing Groebner-bases named M4GB. Like Faugere's algor...
In this work we describe an efficient implementation of a hierarchy of algorithms for Gaussian elimi...
We describe an efficient implementation of a hierarchy of algorithms for multiplication of dense mat...
International audienceIn this work, we present the M4RIE library which implements efficient algorith...
Abstract. On many high-speed computers the dense matrix technique is preferable to sparse matrix tec...
Abstract: Few realize that, for large matrices, many dense matrix computations achieve nearly the sa...
Abstract. In this paper, we present a novel algorithm of optimal matrix partitioning for parallel de...
Hierarchical matrix (H-matrix) techniques can be used to efficiently treat dense matrices. With an H...
We present a method of computing with matrices over very small finite fields of size larger than 2. ...
We investigate a parallelization strategy for dense matrix factorization (DMF) algorithms, using Ope...
Many matrices in scientific computing, statistical inference, and machine learning exhibit sparse an...
This paper introduces a new efficient algorithm for computing Gröbner-bases named M4GB. Like Faugère...
International audienceThis paper considers elimination algorithms for sparse matrices over finite fi...
In this article we present a systematic approach to the derivation of families of high-performance a...
The aim of this paper is to propose an efficient algorithm (with polynomial or lower time complexity...
We introduce a new efficient algorithm for computing Groebner-bases named M4GB. Like Faugere's algor...