Sparse Linear Least Squares Problems in Optimization
Computational Optimization and Applications
Validity of the single processor approach to achieving large scale computing capabilities
AFIPS '67 (Spring) Proceedings of the April 18-20, 1967, spring joint computer conference
Sparse Matrix Operations on Multi-core Architectures
PaCT '09 Proceedings of the 10th International Conference on Parallel Computing Technologies
autopin: automated optimization of thread-to-core pinning on multicore systems
Transactions on high-performance embedded architectures and compilers III
Sparse matrix operations on several multi-core architectures
The Journal of Supercomputing
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Two electrical engineering applications from industry partners dealing with sparse matrices were analyzed regarding cache efficiency and scalability on modern multi core systems. Two different contemporary multi-core architectures have been investigated, namely Intel's Westmere and AMD's Magny-Cours. This paper can be regarded as a continuation of the investigations presented in [14] and [15]. In addition, the SuiteSparseQR library for efficiently computing QR factorizations of sparse matrices was evaluated regarding scalability and cache efficiency.