Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Asynchronous Many-Task Systems and Applications: Second International Workshop, WAMTA 2024, Knoxville, TN, USA, February 14–16, 2024 The ubiquitous in-node heterogeneity of HPC and cloud computing ...
Abstract: Transient simulation of large power grids (PGs) can be extremely challenging because linear equation systems with millions of unknowns need to be solved at each time step. The iterative ...
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Abstract: In this letter, we propose a new regularization approach to low-precision Cholesky decomposition. This decomposition is employed to inverse an ill-conditioned matrix in the linear detector ...
ABSTRACT: In this paper, the well-known Cholesky Algorithm (for solving simultaneous linear equations, or SLE) is re-visited, with the ultimate goal of developing a simple, user-friendly, attractive, ...
(1.6256)(-1.0512)(-0.1585)(-0.6725)(0.0000)(1.6368)(-0.2666)(-0.4739)(0.0000)(0.0000)(1.7376)(0.8171)(0.0000)(0.0000)(0.0000)(1.6069) Unfortunately, matrix C is stored on a column-major basis! Before ...
On Cholesky decomposition, Accelerate has roughly the same performance as openblas, perhaps because openblas has a multi-threaded cholesky while Apple is probably only getting multi-threading from L3 ...
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Many linear algebra libraries, such as the Intel MKL, Magma or Eigen, provide fast Cholesky factorization. These libraries are suited for big matrices but perform slowly on small ones. Even though ...