Systematic Fusion of CUDA Kernels for Iterative Sparse Linear System Solvers-Reference-Cited by-同舟云学术

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Systematic Fusion of CUDA Kernels for Iterative Sparse Linear System Solvers

Published:2015 Issue: Volume: Page:675-686
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Aliaga José I.,Pérez Joaquín,Quintana-Ortí Enrique S.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-662-48096-0_52

Reference15 articles.

1. CSB library (2014), http://gauss.cs.ucsb.edu/aydin/csb/html/

2. Aliaga, J.I., Pérez, J., Quintana-Ortí, E.S., Anzt, H.: Reformulated conjugate gradient for the energy-aware solution of linear systems on GPUs. In: 42nd International Conference on Parallel Processing (ICPP), pp. 320–329 (2013)

3. Aliaga, J.I., et al.: Unveiling the performance-energy trade-off in iterative linear system solvers for multithreaded processors. Concurrency and Computation: Practice and Experience (2014, to appear)

4. Anzt, H., Sawyer, W., Tomov, S., Luszczek, P., Yamazaki, I., Dongarra, J.: Optimizing Krylov subspace solvers on graphics processing units. In: IEEE International Parallel Distributed Processing Symposium Workshops (IPDPSW), pp. 941–949 (2014)

5. Anzt, H., et al.: Analysis and optimization of power consumption in the iterative solution of sparse linear systems on multi-core and many-core platforms. In: International Green Computing Conference Workshops (IGCC), pp. 1–6 (2011)

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