Publications
Export 21 results:
Filters: Author is Piotr Luszczek [Clear All Filters]
The PLASMA Library on CORAL Systems and Beyond (Poster)
, Houston, TX, 2020 Exascale Computing Project Annual Meeting, February 2020.
(550.86 KB)
Analysis of Various Scalar, Vector, and Parallel Implementations of RandomAccess,”
Innovative Computing Laboratory (ICL) Technical Report, no. ICL-UT-10-03, June 2010.
(226.9 KB)
“Autotuning Techniques for Performance-Portable Point Set Registration in 3D,”
Supercomputing Frontiers and Innovations, vol. 5, no. 4, December 2018.
DOI: 10.14529/jsfi180404 (720.15 KB)
“Design of an Interactive Environment for Numerically Intensive Parallel Linear Algebra Calculations,”
International Conference on Computational Science, Poland, Springer Verlag, June 2004.
DOI: 10.1007/978-3-540-25944-2_35 (88.31 KB)
“Evaluation of the HPC Challenge Benchmarks in Virtualized Environments,”
6th Workshop on Virtualization in High-Performance Cloud Computing, Bordeaux, France, August 2011.
(114.73 KB)
“Scalable Data Generation for Evaluating Mixed-Precision Solvers,”
2020 IEEE High Performance Extreme Computing Conference (HPEC), Waltham, MA, USA, IEEE, September 2020.
DOI: 10.1109/HPEC43674.2020.9286145 (1.3 MB)
“The HPC Challenge (HPCC) Benchmark Suite,”
SC06 Conference Tutorial, Tampa, Florida, IEEE, November 2006.
(1.08 MB)
“Search Space Generation and Pruning System for Autotuners,”
30th IEEE International Parallel & Distributed Processing Symposium (IPDPS), Chicago, IL, IEEE, May 2016.
(555.44 KB)
“Two-stage Tridiagonal Reduction for Dense Symmetric Matrices using Tile Algorithms on Multicore Architectures,”
IEEE International Parallel and Distributed Processing Symposium (submitted), Anchorage, AK, May 2011.
“Scaling Point Set Registration in 3D Across Thread Counts on Multicore and Hardware Accelerator Platforms through Autotuning for Large Scale Analysis of Scientific Point Clouds,”
IEEE International Workshop on Benchmarking, Performance Tuning and Optimization for Big Data Applications (BPOD 2017), Boston, MA, IEEE, December 2017.
DOI: 10.1109/BigData.2017.8258258 (6.71 MB)
“High Performance Development for High End Computing with Python Language Wrapper (PLW),”
International Journal of High Performance Computing Applications (to appear), 00 2006.
(179.32 KB)
“Looking Back at Dense Linear Algebra Software,”
Journal of Parallel and Distributed Computing, vol. 74, issue 7, pp. 2548–2560, July 2014.
DOI: 10.1016/j.jpdc.2013.10.005 (1.79 MB)
“Changes in Dense Linear Algebra Kernels - Decades Long Perspective,”
in Solving the Schrodinger Equation: Has everything been tried? (to appear): Imperial College Press, 00 2011.
“Towards Numerical Benchmark for Half-Precision Floating Point Arithmetic,”
2017 IEEE High Performance Extreme Computing Conference (HPEC), Waltham, MA, IEEE, September 2017.
DOI: 10.1109/HPEC.2017.8091031 (1.67 MB)
“HPC Challenge v1.x Benchmark Suite,”
SC|05 Tutorial - S13, Seattle, Washington, January 2005.
(2.94 MB)
“Anatomy of a Globally Recursive Embedded LINPACK Benchmark,”
2012 IEEE High Performance Extreme Computing Conference, Waltham, MA, pp. 1-6, September 2012.
DOI: 10.1109/HPEC.2012.6408679 (204.74 KB)
“Surrogate ML/AI Model Benchmarking for FAIR Principles' Conformance,”
2022 IEEE High Performance Extreme Computing Conference (HPEC): IEEE, September 2022.
DOI: 10.1109/HPEC55821.2022.9926401
“Parallel Programming in MATLAB,”
The International Journal of High Performance Computing Applications, vol. 23, no. 3, pp. 277-283, July 2009.
(215.71 KB)
“Increasing Accuracy of Iterative Refinement in Limited Floating-Point Arithmetic on Half-Precision Accelerators,”
IEEE High Performance Extreme Computing Conference (HPEC 2019), Best Paper Finalist, Waltham, MA, IEEE, September 2019.
(470.21 KB)
“Introduction to the HPC Challenge Benchmark Suite
, March 2005.
(124.86 KB)
Looking Back at Dense Linear Algebra Software,”
Perspectives on Parallel and Distributed Processing: Looking Back and What's Ahead (to appear), 00 2012.
(235.91 KB)
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