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## Search the dblp DataBase
Richard W. Vuduc:
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## Publications of Author- Richard W. Vuduc, Hyun-Jin Moon
**Fast Sparse Matrix-Vector Multiplication by Exploiting Variable Block Structure.**[Citation Graph (0, 0)][DBLP] HPCC, 2005, pp:807-816 [Conf] - Daniel J. Quinlan, Shmuel Ur, Richard W. Vuduc
**An Extensible Open-Source Compiler Infrastructure for Testing.**[Citation Graph (0, 0)][DBLP] Haifa Verification Conference, 2005, pp:116-133 [Conf] - Benjamin C. Lee, Richard W. Vuduc, James Demmel, Katherine A. Yelick
**Performance Models for Evaluation and Automatic Tuning of Symmetric Sparse Matrix-Vector Multiply.**[Citation Graph (0, 0)][DBLP] ICPP, 2004, pp:169-176 [Conf] - Daniel J. Quinlan, Markus Schordan, Richard W. Vuduc, Qing Yi
**Annotating user-defined abstractions for optimization.**[Citation Graph (0, 0)][DBLP] IPDPS, 2006, pp:- [Conf] - Thomas Panas, Thomas Epperly, Daniel J. Quinlan, Andreas Sæbjørnsen, Richard W. Vuduc
**Communicating Software Architecture using a Unified Single-View Visualization.**[Citation Graph (0, 0)][DBLP] ICECCS, 2007, pp:217-228 [Conf] - Qing Yi, Keith Seymour, Haihang You, Richard W. Vuduc, Daniel J. Quinlan
**POET: Parameterized Optimizations for Empirical Tuning.**[Citation Graph (0, 0)][DBLP] IPDPS, 2007, pp:1-8 [Conf] - Rajesh Nishtala, Richard W. Vuduc, James Demmel, Katherine A. Yelick
**When cache blocking of sparse matrix vector multiply works and why.**[Citation Graph (0, 0)][DBLP] Appl. Algebra Eng. Commun. Comput., 2007, v:18, n:3, pp:297-311 [Journal] - Rajesh Nishtala, Richard W. Vuduc, James Demmel, Katherine A. Yelick
**When cache blocking of sparse matrix vector multiply works and why.**[Citation Graph (0, 0)][DBLP] Appl. Algebra Eng. Commun. Comput., 2007, v:18, n:3, pp:297-311 [Journal] **Direct N-body Kernels for Multicore Platforms.**[Citation Graph (, )][DBLP]**Tuned and wildly asynchronous stencil kernels for hybrid CPU/GPU systems.**[Citation Graph (, )][DBLP]**Falcon: fault localization in concurrent programs.**[Citation Graph (, )][DBLP]**Understanding the design trade-offs among current multicore systems for numerical computations.**[Citation Graph (, )][DBLP]**Techniques for specifying bug patterns.**[Citation Graph (, )][DBLP]**Improving distributed memory applications testing by message perturbation.**[Citation Graph (, )][DBLP]**Effective Source-to-Source Outlining to Support Whole Program Empirical Optimization.**[Citation Graph (, )][DBLP]**Model-driven autotuning of sparse matrix-vector multiply on GPUs.**[Citation Graph (, )][DBLP]**Applying the concurrent collections programming model to asynchronous parallel dense linear algebra.**[Citation Graph (, )][DBLP]**Optimization of sparse matrix-vector multiplication on emerging multicore platforms.**[Citation Graph (, )][DBLP]**A massively parallel adaptive fast-multipole method on heterogeneous architectures.**[Citation Graph (, )][DBLP]
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