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David S. Hollman
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Conference and Workshop Papers
- 2020
- [c7]Jeremy M. Myers, Daniel M. Dunlavy, Keita Teranishi, David S. Hollman:
Parameter Sensitivity Analysis of the SparTen High Performance Sparse Tensor Decomposition Software. HPEC 2020: 1-7 - 2019
- [c6]Thomas R. W. Scogland, Dan Sunderland, Stephen L. Olivier, David S. Hollman, Noah Evans, Bronis R. de Supinski:
Making OpenMP Ready for C++ Executors. IWOMP 2019: 320-332 - [c5]David S. Hollman, Bryce Lelbach, H. Carter Edwards, Mark Hoemmen, Daniel Sunderland, Christian R. Trott:
mdspan in C++: A Case Study in the Integration of Performance Portable Features into International Language Standards. P3HPC@SC 2019: 60-70 - 2018
- [c4]Jeremiah J. Wilke, David S. Hollman, Cannada Lewis, Aram Markosyan, Nicolas Morals:
Distributed Memory Futures for Compile-Time, Deterministic-by-Default Concurrency in Distributed C++ Applications. ESPM2@SC 2018: 1-8 - 2016
- [c3]Philippe P. Pébay, Janine C. Bennett, David S. Hollman, Sean Treichler, Patrick S. McCormick, Christine Sweeney, Hemanth Kolla, Alex Aiken:
Towards Asynchronous Many-Task in Situ Data Analysis Using Legion. IPDPS Workshops 2016: 1033-1037 - [c2]David S. Hollman, Janine C. Bennett, Hemanth Kolla, Jonathan Lifflander, Nicole Slattengren, Jeremiah J. Wilke:
Metaprogramming-Enabled Parallel Execution of Apparently Sequential C++ Code. ESPM2@SC 2016: 24-31 - 2015
- [c1]Jeremiah J. Wilke, Keita Teranishi, Janine C. Bennett, Hemanth Kolla, David S. Hollman, Nicole Slattengren:
Evolving the Message Passing Programming Model via a Fault-Tolerant, Object-oriented Transport Layer. FTXS@HPDC 2015: 41-46
Informal and Other Publications
- 2020
- [i2]David S. Hollman, Bryce Adelstein-Lelbach, H. Carter Edwards, Mark Hoemmen, Daniel Sunderland, Christian R. Trott:
mdspan in C++: A Case Study in the Integration of Performance Portable Features into International Language Standards. CoRR abs/2010.06474 (2020) - [i1]Jeremy M. Myers, Daniel M. Dunlavy, Keita Teranishi, David S. Hollman:
Parameter Sensitivity Analysis of the SparTen High Performance Sparse Tensor Decomposition Software: Extended Analysis. CoRR abs/2012.01520 (2020)
Coauthor Index
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