Author:
Saule Erik,Kaya Kamer,Çatalyürek Ümit V.
Publisher
Springer Berlin Heidelberg
Reference20 articles.
1. Bell, N., Garland, M.: Implementing sparse matrix-vector multiplication on throughput-oriented processors. In: Proceedings of the High Performance Computing Networking, Storage and Analysis, SC ’09 (2009)
2. Buluç, A., Fineman, J.T., Frigo, M., Gilbert, J.R., Leiserson, C.E.: Parallel sparse matrix-vector and matrix-transpose-vector multiplication using compressed sparse blocks. In: Proceedings of the SPAA ’09, pp. 233–244 (2009)
3. Buluç, A., Williams, S., Oliker, L., Demmel, J.: Reduced-bandwidth multithreaded algorithms for sparse matrix-vector multiplication. In: Proceedings of the IPDPS (2011)
4. Cramer, T., Schmidl, D., Klemm, M., an Mey, D.: Openmp programming on intel xeon phi coprocessors: an early performance comparison. In: Proceedings of the Many-core Applications Research Community (MARC) Symposium at RWTH Aachen University, November 2012
5. Cuthill, E., McKee, J.: Reducing the bandwidth of sparse symmetric matrices. In: Proceedings of the ACM National Conference, pp. 157–172 (1969)
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