Publications
Autotuning GEMMs for Fermi,”
University of Tennessee Computer Science Technical Report, UT-CS-11-671, (also Lawn 245), April 2011.
(397.45 KB)
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A Class of Hybrid LAPACK Algorithms for Multicore and GPU Architectures,”
Symposium for Application Accelerators in High Performance Computing (SAAHPC'11), Knoxville, TN, July 2011.
(329.68 KB)
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Efficient Support for Matrix Computations on Heterogeneous Multi-core and Multi-GPU Architectures,”
University of Tennessee Computer Science Technical Report, UT-CS-11-668, (also Lawn 250), June 2011.
(5.93 MB)
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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.
“LU Factorization for Accelerator-Based Systems,”
IEEE/ACS AICCSA 2011, Sharm-El-Sheikh, Egypt, December 2011.
(234.86 KB)
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MAGMA - LAPACK for GPUs
, Atlanta, GA, Keeneland GPU Tutorial, April 2011.
(742.14 KB)

MAGMA - LAPACK for HPC on Heterogeneous Architectures
, Oak Ridge, TN, Titan Summit at Oak Ridge National Laboratory, Presentation, August 2011.
(20.43 MB)

Matrix Algebra on GPU and Multicore Architectures
, Basel, Switzerland, Workshop on GPU-enabled Numerical Libraries, Presentation, May 2011.
(49.27 MB)

Optimizing Symmetric Dense Matrix-Vector Multiplication on GPUs,”
ACM/IEEE Conference on Supercomputing (SC’11), Seattle, WA, November 2011.
(630.63 KB)
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Parallel Performance Measurement of Heterogeneous Parallel Systems with GPUs,”
International Conference on Parallel Processing (ICPP'11), Taipei, Taiwan, ACM, September 2011.
DOI: 10.1109/ICPP.2011.71
(1.41 MB)
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Performance Portability of a GPU Enabled Factorization with the DAGuE Framework,”
IEEE Cluster: workshop on Parallel Programming on Accelerator Clusters (PPAC), June 2011.
(290.98 KB)
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Power-aware Computing on GPGPUs
, Gatlinburg, TN, Fall Creek Falls Conference, Poster, September 2011.
(2.89 MB)

Autotuning GEMM Kernels for the Fermi GPU,”
IEEE Transactions on Parallel and Distributed Systems, vol. 23, no. 11, November 2012.
DOI: 10.1109/TPDS.2011.311
(742.5 KB)
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Block-asynchronous Multigrid Smoothers for GPU-accelerated Systems,”
ICCS 2012, Omaha, NE, June 2012.
(608.95 KB)
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A Class of Communication-Avoiding Algorithms for Solving General Dense Linear Systems on CPU/GPU Parallel Machines,”
Proc. of the International Conference on Computational Science (ICCS), vol. 9, pp. 17-26, June 2012.
“Divide and Conquer on Hybrid GPU-Accelerated Multicore Systems,”
SIAM Journal on Scientific Computing, vol. 34(2), pp. C70-C82, April 2012.
“Enabling and Scaling Matrix Computations on Heterogeneous Multi-Core and Multi-GPU Systems,”
26th ACM International Conference on Supercomputing (ICS 2012), San Servolo Island, Venice, Italy, ACM, June 2012.
(5.88 MB)
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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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The Future of Computing: Software Libraries
, Savannah, GA, DOD CREATE Developers' Review, Keynote Presentation, February 2012.
(6.76 MB)

MAGMA: A Breakthrough in Solvers for Eigenvalue Problems
, San Jose, CA, GPU Technology Conference (GTC12), Presentation, May 2012.
(9.23 MB)

MAGMA: A New Generation of Linear Algebra Library for GPU and Multicore Architectures
, Salt Lake City, UT, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC12), Presentation, November 2012.
(4.69 MB)

MAGMA MIC: Linear Algebra Library for Intel Xeon Phi Coprocessors
, Salt Lake City, UT, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC12), November 2012.
(6.4 MB)

One-Sided Dense Matrix Factorizations on a Multicore with Multiple GPU Accelerators,”
The International Conference on Computational Science (ICCS), June 2012.
“Power Aware Computing on GPUs,”
SAAHPC '12 (Best Paper Award), Argonne, IL, July 2012.
(658.06 KB)
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Providing GPU Capability to LU and QR within the ScaLAPACK Framework,”
University of Tennessee Computer Science Technical Report (also LAWN 272), no. UT-CS-12-699, September 2012.
(7.48 MB)
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Accelerating Linear System Solutions Using Randomization Techniques,”
ACM Transactions on Mathematical Software (also LAWN 246), vol. 39, issue 2, February 2013.
DOI: 10.1145/2427023.2427025
(358.79 KB)
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A Block-Asynchronous Relaxation Method for Graphics Processing Units,”
Journal of Parallel and Distributed Computing, vol. 73, issue 12, pp. 1613–1626, December 2013.
DOI: http://dx.doi.org/10.1016/j.jpdc.2013.05.008
(1.08 MB)
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Hydrodynamic Computation with Hybrid Programming on CPU-GPU Clusters,”
University of Tennessee Computer Science Technical Report, no. ut-cs-13-714, July 2013.
(866.68 KB)
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