Dense matrix inversion is a basic procedure in many linear algebra algorithms. Any factorization-based dense matrix inversion algorithm involves the inversion of one or two triangular matrices. In this work, we present an improved implementation of a parallel triangular matrix inversion for heterogeneous multicore CPU/dual-GPU systems
© 2019, Pleiades Publishing, Ltd. Practical applicability of many statistical algorithms is limited ...
In this work an algorithm for solving triangular systems of equations for multiple right hand sides ...
The implementation of matrix inversion algorithms using the few instructions, multiple data, systoli...
Dense matrix inversion is a basic procedure in many linear algebra algorithms. Any factorization-bas...
In this paper, we tackle the inversion of large-scale dense matrices via conventional matrix factori...
none4Dense matrix inversion is a basic procedure in many linear algebra algorithms. A com...
Reducing the computing time of the matrix inversion has been a concern of many authors. The use of S...
In this paper, an F'F'GA implementation of a novel and highly scalable hardware architecture for fas...
This paper presents an FPGA implementation of a novel snd Ihighl! scalable hardware architecture for...
Block p-cyclic matrices is an important class of block structured matrices with broad applications i...
AbstractOne-sided dense matrix factorizations are important computational kernels in many scientific...
We study the use of massively parallel architectures for computing a matrix inverse. Two different ...
We present a new approach to utilizing all CPU cores and all GPUs on heterogeneous multicore and mul...
We study the high-performance implementation of the inversion of a Symmetric Positive Definite (SPD)...
An iterative inversion algorithm for a class of square matrices is derived and tested. The inverted ...
© 2019, Pleiades Publishing, Ltd. Practical applicability of many statistical algorithms is limited ...
In this work an algorithm for solving triangular systems of equations for multiple right hand sides ...
The implementation of matrix inversion algorithms using the few instructions, multiple data, systoli...
Dense matrix inversion is a basic procedure in many linear algebra algorithms. Any factorization-bas...
In this paper, we tackle the inversion of large-scale dense matrices via conventional matrix factori...
none4Dense matrix inversion is a basic procedure in many linear algebra algorithms. A com...
Reducing the computing time of the matrix inversion has been a concern of many authors. The use of S...
In this paper, an F'F'GA implementation of a novel and highly scalable hardware architecture for fas...
This paper presents an FPGA implementation of a novel snd Ihighl! scalable hardware architecture for...
Block p-cyclic matrices is an important class of block structured matrices with broad applications i...
AbstractOne-sided dense matrix factorizations are important computational kernels in many scientific...
We study the use of massively parallel architectures for computing a matrix inverse. Two different ...
We present a new approach to utilizing all CPU cores and all GPUs on heterogeneous multicore and mul...
We study the high-performance implementation of the inversion of a Symmetric Positive Definite (SPD)...
An iterative inversion algorithm for a class of square matrices is derived and tested. The inverted ...
© 2019, Pleiades Publishing, Ltd. Practical applicability of many statistical algorithms is limited ...
In this work an algorithm for solving triangular systems of equations for multiple right hand sides ...
The implementation of matrix inversion algorithms using the few instructions, multiple data, systoli...
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