Nr |
Themenkürzel |
bearbeitet von |
Ausarbeitung |
Vortragsfolien |
(Einstiegs-)Paper |
1 |
Speicherformate |
M.Nutzenberger |
- |
- |
R.Barrett et.al.: Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods (chap 4.3.1) 2nd edition, SIAM, 1993. (Einstiegsliteratur) |
2 |
Umsortierungen |
J.Baum |
Ausarbeitung |
- |
Y.Saad: Iterative methods for sparse linear systems (chap 3.3). SIAM, 2003. (in Bibliothek) |
3 |
SpMV auf Caches |
K.Odenthal |
Ausarbeitung |
- |
A.N.Yzelman and Rob H.Bisseling:
A cache-oblivious sparse matrix-vector multiplication scheme based on the Hilbert curve.
M. Günther, A. Bartel, M. Brunk, S. Schöps, and M. Striebel (eds.), Progress in Industrial Mathematics at ECMI 2010, pp 627-634, Springer, 2012 |
4 |
SpMV Multicore/Autotuning |
F.Sommer |
Ausarbeitung |
- |
S.Williams et al.: Optimization of Sparse Matrix-Vector Multiplication on Emerging Multicore Platforms Proc. Supercomputing 2007, (extended version 2009). |
5 |
SpMV auf GPU |
M.Esser |
- |
- |
I.Kreutzer, M.Giles: Efficient Sparse Matrix-Vector Multiplication on Cache-Based GPUs. In: Proc. Innovative Parallel Computing: Foundations and Applications of
GPU, Manycore, and Heterogeneous Systems (InPar 2012), pp. 1-12 (2012).
D.Mukunoki, D.Takahashi: Optimization of Sparse Matrix-Vector
Multiplication for CRS Format on NVIDIA
Kepler Architecture GPUs
ICCSA 2013. |
6 |
SpMM auf GPU |
E.Schricker |
Ausarbeitung |
- |
G.Ortega et.al.: FastSpMM: An Efficient Library for Sparse Matrix Matrix Product on GPUs The Computer Journal, May 2013. |
7 |
SpMM auf Xeon Phi |
E.Auschew |
- |
- |
Erik Saule, Kamer Kaya, Ümit Catalürek: Performance Evaluation of Sparse Matrix Multiplication Kernels on Intel Xeon Phi. arXiv:1302.1078, 2013 |
8 |
BFS |
S.Sielenkemper |
Ausarbeitung |
- |
S.Beamer, K.Asanovic, D.Patterson: Direction-Optimizing Breadth-First Search Proc. Supercomputing 2012. |