The Cohn-Umans group-theoretic approach to matrix multiplication suggests embedding matrix multiplication into group algebra multiplication, and bounding ω in terms of the representation theory of the host group. This framework is general enough to capture the best known upper bounds on ω and is conjectured to be powerful enough to prove ω=2, although finding a suitable group and constructing such an embedding has remained elusive. Recently it was shown, by a generalization of the proof of the Cap Set Conjecture, that abelian groups of bounded exponent cannot prove ω=2 in this framework, which ruled out a family of potential constructions in the literature. In this paper we study nonabelian groups as potential hosts for an embedding. We...
The evaluation of the product of two matrices can be very computationally expensive. The multiplica...
In this work, we prove limitations on the known methods for designing matrix multiplication algorith...
Recent work has shown that fast matrix multiplication algorithms can be constructed by embedding the...
The Cohn-Umans group-theoretic approach to matrix multiplication suggests embedding matrix multiplic...
In 2003, Cohn and Umans described a framework for proving upper bounds on the exponent ω of matrix m...
The exponent of matrix multiplication is the smallest real number ω such that for all ε>0, O(n^(ω+ε)...
We further develop the group-theoretic approach to fast matrix multiplication introduced by Cohn and...
We introduce a relaxation of the notion of tensor rank, called s-rank, and show that upper bounds on...
We develop a new, group-theoretic approach to bounding the exponent of matrix multiplication. There ...
Based on Cohn and Umans’ group-theoretic method, we embed matrix multiplication into several group...
In 2003 Cohn and Umans introduced a new group-theoretic framework for doing fast matrix multiplicati...
We present several variants of the sunflower conjecture of Erdős and Rado and discuss the relations ...
© 2018 IEEE. We study the known techniques for designing Matrix Multiplication algorithms. The two ...
Abstract. In 2003 Cohn and Umans introduced a group-theoretic approach to fast matrix multiplication...
AbstractFor each prime p≥5, certain groups of exponent p are exhibited. It follows that the precise ...
The evaluation of the product of two matrices can be very computationally expensive. The multiplica...
In this work, we prove limitations on the known methods for designing matrix multiplication algorith...
Recent work has shown that fast matrix multiplication algorithms can be constructed by embedding the...
The Cohn-Umans group-theoretic approach to matrix multiplication suggests embedding matrix multiplic...
In 2003, Cohn and Umans described a framework for proving upper bounds on the exponent ω of matrix m...
The exponent of matrix multiplication is the smallest real number ω such that for all ε>0, O(n^(ω+ε)...
We further develop the group-theoretic approach to fast matrix multiplication introduced by Cohn and...
We introduce a relaxation of the notion of tensor rank, called s-rank, and show that upper bounds on...
We develop a new, group-theoretic approach to bounding the exponent of matrix multiplication. There ...
Based on Cohn and Umans’ group-theoretic method, we embed matrix multiplication into several group...
In 2003 Cohn and Umans introduced a new group-theoretic framework for doing fast matrix multiplicati...
We present several variants of the sunflower conjecture of Erdős and Rado and discuss the relations ...
© 2018 IEEE. We study the known techniques for designing Matrix Multiplication algorithms. The two ...
Abstract. In 2003 Cohn and Umans introduced a group-theoretic approach to fast matrix multiplication...
AbstractFor each prime p≥5, certain groups of exponent p are exhibited. It follows that the precise ...
The evaluation of the product of two matrices can be very computationally expensive. The multiplica...
In this work, we prove limitations on the known methods for designing matrix multiplication algorith...
Recent work has shown that fast matrix multiplication algorithms can be constructed by embedding the...