Publications
An Implementation of the Tile QR Factorization for a GPU and Multiple CPUs,”
Applied Parallel and Scientific Computing, vol. 7133, pp. 248-257, 00 2012.
(623.5 KB)
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Implementation of the Mixed-Precision High Performance LINPACK Benchmark on the CELL Processor,”
University of Tennessee Computer Science Tech Report, no. UT-CS-06-580, LAPACK Working Note #177, September 2006.
(506.18 KB)
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Implementation of Mixed Precision in Solving Systems of Linear Equations on the Cell Processor,”
Concurrency and Computation: Practice and Experience, vol. 19, no. 10, pp. 1371-1385, July 2007.
(453.78 KB)
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Implementation and Usage of the PERUSE-Interface in Open MPI,”
Euro PVM/MPI 2006, Bonn, Germany, September 2006.
(310.76 KB)
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Implementation and Tuning of Batched Cholesky Factorization and Solve for NVIDIA GPUs,”
IEEE Transactions on Parallel and Distributed Systems, no. 1045-9219, November 2015.
“The Impact of Multicore on Math Software,”
PARA 2006, Umea, Sweden, June 2006.
(223.53 KB)
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The Impact of Multicore on Computational Science Software,”
CTWatch Quarterly, vol. 3, issue 1, February 2007.
“Impact of Kernel-Assisted MPI Communication over Scientific Applications: CPMD and FFTW,”
18th EuroMPI, Santorini, Greece, Springer, pp. 247-254, September 2011.
“Impact of Kernel-Assisted MPI Communication over Scientific Applications: CPMD and FFTW,”
18th EuroMPI, Santorini, Greece, Springer, pp. 247-254, September 2011.
“A Hybridization Methodology for High-Performance Linear Algebra Software for GPUs,”
in GPU Computing Gems, Jade Edition, vol. 2: Elsevier, pp. 473-484, 00 2011.
“Hybrid Multicore Cholesky Factorization with Multiple GPU Accelerators,”
IEEE Transaction on Parallel and Distributed Systems (submitted), March 2010.
(3.75 MB)
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HPC Programming on Intel Many-Integrated-Core Hardware with MAGMA Port to Xeon Phi,”
Scientific Programming, vol. 23, issue 1, January 2015.
DOI: 10.3233/SPR-140404
(553.94 KB)
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HPC Challenge: Design, History, and Implementation Highlights,”
On the Road to Exascale Computing: Contemporary Architectures in High Performance Computing (to appear): Chapman & Hall/CRC Press, 00 2012.
(469.92 KB)
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How Elegant Code Evolves With Hardware: The Case Of Gaussian Elimination,”
in Beautiful Code Leading Programmers Explain How They Think (Chapter 14), pp. 243-282, January 2008.
(257 KB)
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How Elegant Code Evolves With Hardware: The Case Of Gaussian Elimination,”
in Beautiful Code Leading Programmers Explain How They Think: O'Reilly Media, Inc., June 2007.
(257 KB)
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High-Performance High-Resolution Semi-Lagrangian Tracer Transport on a Sphere,”
Journal of Computational Physics, vol. 230, issue 17, pp. 6778-6799, July 2011.
DOI: 10.1016/j.jcp.2011.05.008
(1.68 MB)
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High-Performance Conjugate-Gradient Benchmark: A New Metric for Ranking High-Performance Computing Systems,”
The International Journal of High Performance Computing Applications, 2015.
DOI: 10.1177/1094342015593158
(336.19 KB)
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Highly Scalable Self-Healing Algorithms for High Performance Scientific Computing,”
IEEE Transactions on Computers, vol. 58, issue 11, pp. 1512-1524, November 2009.
DOI: 10.1109/TC.2009.42
(1.81 MB)
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High Performance Development for High End Computing with Python Language Wrapper (PLW),”
International Journal for High Performance Computer Applications, vol. 21, no. 3, pp. 360-369, 00 2007.
(179.32 KB)
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High Performance Dense Linear System Solver with Soft Error Resilience,”
IEEE Cluster 2011, Austin, TX, September 2011.
(1.27 MB)
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High Performance Dense Linear System Solver with Resilience to Multiple Soft Errors,”
ICCS 2012, Omaha, NE, June 2012.
(1.27 MB)
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High Performance Conjugate Gradient Benchmark: A new Metric for Ranking High Performance Computing Systems,”
International Journal of High Performance Computing Applications, vol. 30, issue 1, pp. 3 - 10, February 2016.
DOI: 10.1177/1094342015593158
(277.51 KB)
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High Performance Computing Trends,”
HERMIS, vol. 2, pp. 155-163, November 2001.
“High Performance Computing Systems: Status and Outlook,”
Acta Numerica, vol. 21, Cambridge, UK, Cambridge University Press, pp. 379-474, May 2012.
(1.48 MB)
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High Performance Computing for Computational Science,”
Lecture Notes in Computer Science, vol. 2565, VECPAR 2002, 5th International Conference June 26-28, 2002, Springer-Verlag, Berlin, January 2003.
“High Performance Bidiagonal Reduction using Tile Algorithms on Homogeneous Multicore Architectures,”
ACM Transactions on Mathematical Software (TOMS), vol. 39, issue 3, no. 16, 2013.
DOI: 10.1145/2450153.2450154
(665.7 KB)
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HierKNEM: An Adaptive Framework for Kernel-Assisted and Topology-Aware Collective Communications on Many-core Clusters,”
IPDPS 2012 (Best Paper), Shanghai, China, May 2012.
(165.9 KB)
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Hierarchical QR Factorization Algorithms for Multi-core Cluster Systems,”
Parallel Computing, vol. 39, issue 4-5, pp. 212-232, May 2013.
(1.43 MB)
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HARNESS Fault Tolerant MPI Design, Usage and Performance Issues,”
Future Generation Computer Systems, vol. 18, no. 8, pp. 1127-1142, January 2002.
(403.41 KB)
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HARNESS and Fault Tolerant MPI,”
Parallel Computing, vol. 27, no. 11, pp. 1479-1496, January 2001.
(164.2 KB)
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HARNESS: A Next Generation Distributed Virtual Machine,”
International Journal on Future Generation Computer Systems, vol. 15, no. 5-6, pp. 571-582, January 1999.
(183.78 KB)
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A Guide for Achieving High Performance with Very Small Matrices on GPUs: A Case Study of Batched LU and Cholesky Factorizations,”
IEEE Transactions on Parallel and Distributed Systems, vol. 29, issue 5, pp. 973–984, May 2018.
DOI: 10.1109/TPDS.2017.2783929
(832.92 KB)
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GrADSolve - A Grid-based RPC System for Remote Invocation of Parallel Software,”
Journal of Parallel and Distributed Computing (submitted), March 2003.
(241.3 KB)
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The GrADS Project: Software Support for High-Level Grid Application Development,”
International Journal of High Performance Applications and Supercomputing, vol. 15, no. 4, pp. 327-344, January 2001.
(271.52 KB)
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GPU-Accelerated Asynchronous Error Correction for Mixed Precision Iterative Refinement,”
EuroPar 2012 (also LAWN 260), Rhodes Island, Greece, August 2012.
(662.98 KB)
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From CUDA to OpenCL: Towards a Performance-portable Solution for Multi-platform GPU Programming,”
Parallel Computing, vol. 38, no. 8, pp. 391-407, August 2012.
(1.64 MB)
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A Framework for Out of Memory SVD Algorithms,”
ISC High Performance 2017, pp. 158–178, June 2017.
DOI: 10.1007/978-3-319-58667-0_9
(393.22 KB)
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Flexible collective communication tuning architecture applied to Open MPI,”
2006 Euro PVM/MPI (submitted), Bonn, Germany, January 2006.
(206.58 KB)
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Fine-grained Bit-Flip Protection for Relaxation Methods,”
Journal of Computational Science, November 2016.
DOI: 10.1016/j.jocs.2016.11.013
(1.47 MB)
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Fast Cholesky Factorization on GPUs for Batch and Native Modes in MAGMA,”
Journal of Computational Science, vol. 20, pp. 85–93, May 2017.
DOI: 10.1016/j.jocs.2016.12.009
(3.6 MB)
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A Failure Detector for HPC Platforms,”
The International Journal of High Performance Computing Applications, vol. 32, issue 1, pp. 139–158, January 2018.
DOI: 10.1177/1094342017711505
(1.04 MB)
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Factorization and Inversion of a Million Matrices using GPUs: Challenges and Countermeasures,”
Procedia Computer Science, vol. 108, pp. 606–615, June 2017.
DOI: 10.1016/j.procs.2017.05.250
(643.44 KB)
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Extending the scope of the Checkpoint-on-Failure protocol for forward recovery in standard MPI,”
Concurrency and Computation: Practice and Experience, July 2013.
DOI: 10.1002/cpe.3100
(3.89 MB)
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Exploiting the Performance of 32 bit Floating Point Arithmetic in Obtaining 64 bit Accuracy,”
University of Tennessee Computer Science Tech Report, no. UT-CS-06-574, LAPACK Working Note #175, April 2006.
(221.39 KB)
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Exploiting Mixed Precision Floating Point Hardware in Scientific Computations,”
In High Performance Computing and Grids in Action (to appear), Amsterdam, IOS Press, 00 2007.
(122.01 KB)
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Exploiting Mixed Precision Floating Point Hardware in Scientific Computations,”
in High Performance Computing and Grids in Action, Amsterdam, IOS Press, January 2008.
(92.95 KB)
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Experiences with Windows 95/NT as a Cluster Computing Platform for Parallel Computing,”
Parallel and Distributed Computing Practices, Special Issue: Cluster Computing, vol. 2, no. 2: Nova Science Publishers, USA, pp. 119-128, February 1999.
(164.04 KB)
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Experiences in Autotuning Matrix Multiplication for Energy Minimization on GPUs,”
Concurrency and Computation: Practice and Experience, vol. 27, issue 17, pp. 5096 - 5113, Oct 12, 2015.
DOI: 10.1002/cpe.3516
(1.99 MB)
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Experiences in autotuning matrix multiplication for energy minimization on GPUs,”
Concurrency in Computation: Practice and Experience, vol. 27, issue 17, pp. 5096-5113, December 2015.
DOI: 10.1002/cpe.3516
(1.98 MB)
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An evaluation of User-Level Failure Mitigation support in MPI,”
Computing, vol. 95, issue 12, pp. 1171-1184, December 2013.
DOI: 10.1007/s00607-013-0331-3
(311.23 KB)
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