Richard Vuduc

Assistant Professor, Georgia Institute of Technology
Atlanta, Georgia, United States

Research field: Computer and Information Science
High-performance computing, parallel algorithms and programming models, automated performance tuning (autotuning), debugging

Publications

Conference Proceedings (39)
- Kent Czechowski, Casey Battaglino, Chris Mcclanahan et al. (2011) Balance principles for algorithm-architecture co-design, 1-5. In USENIX Wkshp. Hot Topics in Parallelism (HotPar).
  http://www.usenix.org/event/hotpar11/...
  
  Download PDF (285.56 KB)
- Raghul Gunasekaran, David Dillow, Galen Shipman et al. (2011) Characterizing Application Runtime Behavior from System Logs and Metrics. In Proceedings of the 1st International Workshop on Characterizing Applications for Heterogeneous Exascale Systems (CACHES).
  http://www.mcs.anl.gov/events/worksho...
  
  Download PDF (120.22 KB)
- Aparna Chandramowlishwaran, Kathleen Knobe, Richard Vuduc (2010) Applying the Concurrent Collections programming model to asynchronous parallel dense linear algebra. In ACM SIGPLAN Symp. Principles and Practice of Parallel Programming (PPoPP).
  Download PDF (204.42 KB)
- Aparna Chandramowlishwaran, Kamesh Madduri, Richard Vuduc (2010) Diagnosis, Tuning, and Redesign for Multicore Performance: A Case Study of the Fast Multipole Method. In ACM/IEEE Conf. Supercomputing (SC).
  Download PDF (1.09 MB)
- Sangmin Park, Richard W Vuduc, Mary Jean Harrold (2010) Falcon: Fault localization for concurrent programs. In Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - ICSE '10.
  Download PDF (264.33 KB)
- Jaekyu Lee, Nagesh B Lakshminarayana, Hyesoon Kim et al. (2010) Hardware and software prefetching mechanisms for GPGPU applications. In IEEE/ACM Int'l. Symp. Microarchitecture (MICRO).
- Jee W. Choi, Amik Singh, Richard W. Vuduc (2010) Model-driven autotuning of sparse matrix-vector multiply on GPUs. In Proceedings of the 15th ACM SIGPLAN symposium on Principles and practice of parallel programming - PPoPP '10.
  Download PDF (765.74 KB)
- Richard Vuduc, Aparna Chandramowlishwaran, Jee Choi et al. (2010) On the limits of GPU acceleration. In USENIX Wkshp. Hot Topics in Parallelism (HotPar).
  http://portal.acm.org/citation.cfm?id...
  
  Download PDF (328.56 KB)
- Aparna Chandramowlishwaran, Samuel Williams, Leonid Oliker et al. (2010) Optimizing and tuning the fast multipole method for state-of-the-art multicore architectures, 1-12. In 2010 IEEE International Symposium on Parallel & Distributed Processing (IPDPS).
  Download PDF (674.24 KB)
- Aparna Chandramowlishwaran, Kathleen Knobe, Richard Vuduc (2010) Performance evaluation of concurrent collections on high-performance multicore computing systems, 1-12. In 2010 IEEE International Symposium on Parallel & Distributed Processing (IPDPS).
  Download PDF (1.28 MB)
- See all
Journal Article (9)
- Richard Vuduc, Kent Czechowski (2011) What GPU Computing Means for High-End Systems, 74-78. In IEEE Micro 31 (4).
  http://ieeexplore.ieee.org/lpdocs/epi...
  
  Download PDF (332.66 KB)
- Samuel Williams, Leonid Oliker, Richard Vuduc et al. (2009) Optimization of sparse matrix–vector multiplication on emerging multicore platforms, 178-194. In Parallel Computing 35 (3).
  Download PDF (1.19 MB)
- Rajesh Nishtala, Richard W. Vuduc, James W Demmel et al. (2007) When cache blocking of sparse matrix vector multiply works and why, 297-311. In Applicable Algebra in Engineering, Communication and Computing 18 (3).
  Download PDF (389.87 KB)
- Richard Vuduc, James W Demmel, Katherine A Yelick (2005) OSKI: A library of automatically tuned sparse matrix kernels, 521-530. In Journal of Physics: Conference Series.
  Download PDF (152.5 KB)
- J Demmel, J Dongarra, V Eijkhout et al. (2005) Self-Adapting Linear Algebra Algorithms and Software, 293-312. In Proceedings of the IEEE 93 (2).
  Download PDF (892.7 KB)
- Eun-Jin Im, Katherine Yelick, Richard Vuduc (2004) Sparsity: Optimization Framework for Sparse Matrix Kernels, 135-158. In International Journal of High Performance Computing Applications 18 (1).
  Download PDF (1.45 MB)
- Richard Vuduc, James W. Demmel, Jeff A. Bilmes (2004) Statistical Models for Empirical Search-Based Performance Tuning, 65-94. In International Journal of High Performance Computing Applications 18 (1).
  Download PDF (1.15 MB)
- Bohdan Balko, Irvin W Kay, Richard Vuduc et al. (1997) Recovery of superfluorescence in inhomogeneously broadened systems through rapid relaxation, 12079-12085. In Physical Review B 55 (18).
  Download PDF (235.99 KB)
- B Balko, IW Kay, JD Silk et al. (1997) Superfluorescence in the presence of inhomogeneous broadening and relaxation, 369-379. In Hyperfine Interactions.
  Download PDF (279.4 KB)
Report (3)
- Aparna Chandramowlishwaran, Kathleen Knobe, Richard Vuduc (2010) Performance evaluation of Concurrent Collections on high-performance multicore computing systems..
- Yuan Zhao, Qing Yi, Ken Kennedy et al. (2005) Parameterizing loop fusion for automated empirical tuning.
  Download PDF (255.2 KB)
- E Jason Riedy, Richard Vuduc (1998) Microbenchmarking the Tera MTA.
  http://vuduc.org/pubs/riedy99-tera-re...
  
  Download PDF (339.21 KB)
Thesis (1)
- Richard W Vuduc (2004) Automatic performance tuning of sparse matrix kernels.
  http://bebop.cs.berkeley.edu/pubs/vud...
  
  Download PDF (7.32 MB)

Awards and Grants

Apr 2010

NSF CAREER View website
Apr 2009

DARPA Computer Science Study Panel (CSSP)
Sep 2008

NSF CCF: THOR: A new programming model for data analysis and mining View website

Biographical Information

I am an assistant professor in the School of Computational Science and Engineering at Georgia Tech. My research lab, The HPC Garage (hpcgarage.org), focuses on problems of performance analysis, tuning, and debugging. I received my PhD from the University of California, Berkeley and was a postdoc at Lawrence Livermore National Laboratory. I am a recipient of the NSF CAREER Award (2010), an R&D 100 Award (2009, joint with LLNL), and served as a member of the 2009-2010 DARPA Computer Science Study Panel. I was recently part of a Georgia Tech team that won the Gordon Bell Prize at Supercomputing 2010.

CV

Professional Experience

2007 - Present

Assistant Professor at Georgia Institute of Technology
Atlanta, Georgia, United States

Education

Aug 1997 - Jan 2004

University of California in Berkeley, California, United States
Ph.D., Computer Science

Aug 1993 - May 1997

Cornell University in Ithaca, New York, United States
B.S., Computer Science

Sep 1989 - Jun 1993

Thomas Jefferson High School for Science and Technology in Alexandria, Virginia, United States
Diploma

Contact Information

Webpage:

http://www.cc.gatech.edu/~richie

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Atlanta, Georgia, United States

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