Tag spmv

PMAA’10 in Basel.

View of the Rhine River (Basel, Switzerland)

Jee and Rich just returned from the Sixth International Workshop on Parallel Matrix Algorithms and Applications (PMAA 2010), which the University of Basel in Switzerland hosted this year. There were many interesting talks, including a keynote by colleague and collaborator, George Biros, sessions on GPUs and autotuning in matrix computations, as well as Jee’s reprise of his PPoPP 2010 talk on sparse matrix-vector multiply on GPUs.

The University of Basel campus abuts the Rhine river. Rich wonders how students and faculty there still manage to get so much great work done…

PPoPP’10 paper on GPU SpMV

Jee’s and Amik’s paper on autotuning sparse matrix-vector multiply for GPUs will appear at PPoPP 2010 in Bangalore, India. Great work, gang!

  • J. W. Choi, A. Singh, R. Vuduc. “Model-driven autotuning of sparse matrix-vector multiply on GPUs.” In Proc. ACM SIGPLAN Symp. Principles and Practice of Parallel Programming (PPoPP), Bangalore, India, January 2010. (accepted)

Top ParCo’09 Q1 download

Our co-authored paper on multicore optimizations for sparse matrix-vector multiply was the “hottest” (most downloaded) Journal of Parallel Computing (ParCo) article in Q1 2009.

[ParCo Top 25 List, Q1 2009] S. Williams, L. Oliker, R. Vuduc, J. Shalf, K. Yelick, J. Demmel. “Optimization of sparse matrix-vector multiplication on emerging multicore platforms.” J. Par. Comput. (ParCo)35(3), pp. 178—194, March 2009. doi:10.1016/j.parco.2008.12.006