2009 |
17 | EE | Samuel Williams,
Leonid Oliker,
Richard W. Vuduc,
John Shalf,
Katherine A. Yelick,
James Demmel:
Optimization of sparse matrix-vector multiplication on emerging multicore platforms.
Parallel Computing 35(3): 178-194 (2009) |
2007 |
16 | EE | Thomas Panas,
Thomas Epperly,
Daniel J. Quinlan,
Andreas Sæbjørnsen,
Richard W. Vuduc:
Communicating Software Architecture using a Unified Single-View Visualization.
ICECCS 2007: 217-228 |
15 | EE | Qing Yi,
Keith Seymour,
Haihang You,
Richard W. Vuduc,
Daniel J. Quinlan:
POET: Parameterized Optimizations for Empirical Tuning.
IPDPS 2007: 1-8 |
14 | EE | Daniel J. Quinlan,
Richard W. Vuduc,
Ghassan Misherghi:
Techniques for specifying bug patterns.
PADTAD 2007: 27-35 |
13 | EE | Samuel Williams,
Leonid Oliker,
Richard W. Vuduc,
John Shalf,
Katherine A. Yelick,
James Demmel:
Optimization of sparse matrix-vector multiplication on emerging multicore platforms.
SC 2007: 38 |
12 | EE | Rajesh Nishtala,
Richard W. Vuduc,
James Demmel,
Katherine A. Yelick:
When cache blocking of sparse matrix vector multiply works and why.
Appl. Algebra Eng. Commun. Comput. 18(3): 297-311 (2007) |
11 | EE | Rajesh Nishtala,
Richard W. Vuduc,
James Demmel,
Katherine A. Yelick:
When cache blocking of sparse matrix vector multiply works and why.
Appl. Algebra Eng. Commun. Comput. 18(3): 297-311 (2007) |
2006 |
10 | EE | Daniel J. Quinlan,
Markus Schordan,
Richard W. Vuduc,
Qing Yi:
Annotating user-defined abstractions for optimization.
IPDPS 2006 |
9 | EE | Richard W. Vuduc,
Martin Schulz,
Daniel J. Quinlan,
Bronis R. de Supinski,
Andreas Sæbjørnsen:
Improving distributed memory applications testing by message perturbation.
PADTAD 2006: 27-36 |
2005 |
8 | EE | Richard W. Vuduc,
Hyun-Jin Moon:
Fast Sparse Matrix-Vector Multiplication by Exploiting Variable Block Structure.
HPCC 2005: 807-816 |
7 | EE | Daniel J. Quinlan,
Shmuel Ur,
Richard W. Vuduc:
An Extensible Open-Source Compiler Infrastructure for Testing.
Haifa Verification Conference 2005: 116-133 |
2004 |
6 | EE | Benjamin C. Lee,
Richard W. Vuduc,
James Demmel,
Katherine A. Yelick:
Performance Models for Evaluation and Automatic Tuning of Symmetric Sparse Matrix-Vector Multiply.
ICPP 2004: 169-176 |
2003 |
5 | EE | Rich Vuduc,
Attila Gyulassy,
James Demmel,
Katherine A. Yelick:
Memory Hierarchy Optimizations and Performance ounds for Sparse A.
International Conference on Computational Science 2003: 705-714 |
2002 |
4 | EE | Rich Vuduc,
James Demmel,
Katherine A. Yelick,
Shoaib Kamil,
Rajesh Nishtala,
Benjamin C. Lee:
Performance optimizations and bounds for sparse matrix-vector multiply.
SC 2002: 1-35 |
2001 |
3 | EE | Rich Vuduc,
James Demmel,
Jeff Bilmes:
Statistical Models for Automatic Performance Tuning.
International Conference on Computational Science (1) 2001: 117-126 |
2000 |
2 | EE | Rich Vuduc,
James Demmel:
Code Generators for Automatic Tuning of Numerical Kernels: Experiences with FFTW.
SAIG 2000: 190-211 |
1 | EE | Danyel Fisher,
Kris Hildrum,
Jason I. Hong,
Mark W. Newman,
Megan Thomas,
Rich Vuduc:
SWAMI: a framework for collaborative filtering algorithm development and evaluation.
SIGIR 2000: 366-368 |