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2020 – today
- 2024
- [b1]Patrick Diehl, Steven R. Brandt, Hartmut Kaiser:
Parallel C++ - Efficient and Scalable High-Performance Parallel Programming Using HPX. Springer 2024, ISBN 978-3-031-54368-5, pp. 1-239 - [j15]Patrick Diehl, Steven R. Brandt, Hartmut Kaiser:
Shared Memory Parallelism in Modern C++ and HPX. SN Comput. Sci. 5(5): 459 (2024) - [j14]Patrick Diehl, Gregor Daiß, Kevin A. Huck, Dominic Marcello, Sagiv Shiber, Hartmut Kaiser, Dirk Pflüger:
Simulating stellar merger using HPX/Kokkos on A64FX on Supercomputer Fugaku. J. Supercomput. 80(12): 16947-16978 (2024) - [c63]Patrick Diehl, Steven R. Brandt, Gregor Daiß, Hartmut Kaiser:
HPX with Spack and Singularity Containers: Evaluating Overheads for HPX/Kokkos Using an Astrophysics Application. WAMTA 2024: 173-184 - [c62]Srinivas Yadav Singanaboina, Weile Wei, Isidoros Tsaousis Seiras, Panagiotis Syskakis, Bradley Richardson, Brandon Cook, Hartmut Kaiser:
Accelerating LULESH using HPX - the C++ Standard Library for Parallelism and Concurrency. PEARC 2024: 12:1-12:8 - [i37]Thomas Heller, Patrick Diehl, Zachary D. Byerly, John Biddiscombe, Hartmut Kaiser:
HPX - An open source C++ Standard Library for Parallelism and Concurrency. CoRR abs/2401.03353 (2024) - [i36]Stefanos Giaremis, Noujoud Nader, Clint Dawson, Hartmut Kaiser, Carola Kaiser, Efstratios N. Nikidis:
Storm Surge Modeling in the AI ERA: Using LSTM-based Machine Learning for Enhancing Forecasting Accuracy. CoRR abs/2403.04818 (2024) - [i35]Patrick Diehl, Steven R. Brandt, Gregor Daiß, Hartmut Kaiser:
HPX with Spack and Singularity Containers: Evaluating Overheads for HPX/Kokkos using an astrophysics application. CoRR abs/2405.00016 (2024) - [i34]Patrick Diehl, Noujoud Nader, Steven R. Brandt, Hartmut Kaiser:
Evaluating AI-generated code for C++, Fortran, Go, Java, Julia, Matlab, Python, R, and Rust. CoRR abs/2405.13101 (2024) - [i33]Patrick Diehl, Gregor Daiß, Steven R. Brandt, Alireza Kheirkhahan, Srinivas Yadav Singanaboina, Dominic Marcello, Chris Taylor, John Leidel, Hartmut Kaiser:
Distributed astrophysics simulations using Octo-Tiger with RISC-V CPUs using HPX and Kokkos. CoRR abs/2407.00026 (2024) - 2023
- [j13]Sayef Azad Sakin, Alex Bigelow, R. Tohid, Connor Scully-Allison, Carlos Scheidegger, Steven R. Brandt, Christopher Taylor, Kevin A. Huck, Hartmut Kaiser, Katherine E. Isaacs:
Traveler: Navigating Task Parallel Traces for Performance Analysis. IEEE Trans. Vis. Comput. Graph. 29(1): 788-797 (2023) - [c61]Patrick Diehl, Max Morris, Steven R. Brandt, Nikunj Gupta, Hartmut Kaiser:
Benchmarking the Parallel 1D Heat Equation Solver in Chapel, Charm++, C++, HPX, Go, Julia, Python, Rust, Swift, and Java. Euro-Par Workshops 2023: 127-138 - [c60]Patrick Diehl, Gregor Daiß, Kevin A. Huck, Dominic Marcello, Sagiv Shiber, Hartmut Kaiser, Dirk Pflüger:
Simulating Stellar Merger using HPX/Kokkos on A64FX on Supercomputer Fugaku. IPDPS Workshops 2023: 682-691 - [c59]Gregor Daiß, Patrick Diehl, Hartmut Kaiser, Dirk Pflüger:
Stellar Mergers with HPX-Kokkos and SYCL: Methods of using an Asynchronous Many-Task Runtime System with SYCL. IWOCL 2023: 8:1-8:12 - [c58]Jiakun Yan, Hartmut Kaiser, Marc Snir:
Design and Analysis of the Network Software Stack of an Asynchronous Many-task System - The LCI parcelport of HPX. SC Workshops 2023: 1151-1161 - [c57]Patrick Diehl, Gregor Daiß, Steven R. Brandt, Alireza Kheirkhahan, Hartmut Kaiser, Christopher Taylor, John Leidel:
Evaluating HPX and Kokkos on RISC-V using an astrophysics application Octo-Tiger. SC Workshops 2023: 1533-1542 - [c56]Patrick Diehl, Steven R. Brandt, Hartmut Kaiser:
Shared Memory Parallelism in Modern C++ and HPX. WAMTA 2023: 27-38 - [e1]Patrick Diehl, Peter Thoman, Hartmut Kaiser, Laxmikant V. Kalé:
Asynchronous Many-Task Systems and Applications - First International Workshop, WAMTA 2023, Baton Rouge, LA, USA, February 15-17, 2023, Proceedings. Lecture Notes in Computer Science 13861, Springer 2023, ISBN 978-3-031-32315-7 [contents] - [d1]Jiakun Yan, Hartmut Kaiser, Marc Snir:
HPX+LCI PAW-ATM23 Artifact Archive. Zenodo, 2023 - [i32]Patrick Diehl, Steven R. Brandt, Hartmut Kaiser:
Shared memory parallelism in Modern C++ and HPX. CoRR abs/2302.07191 (2023) - [i31]Gregor Daiß, Patrick Diehl, Hartmut Kaiser, Dirk Pflüger:
Stellar Mergers with HPX-Kokkos and SYCL: Methods of using an Asynchronous Many-Task Runtime System with SYCL. CoRR abs/2303.08058 (2023) - [i30]Patrick Diehl, Gregor Daiß, Kevin A. Huck, Dominic Marcello, Sagiv Shiber, Hartmut Kaiser, Dirk Pflüger:
Simulating Stellar Merger using HPX/Kokkos on A64FX on Supercomputer Fugaku. CoRR abs/2304.11002 (2023) - [i29]Patrick Diehl, Steven R. Brandt, Max Morris, Nikunj Gupta, Hartmut Kaiser:
Benchmarking the Parallel 1D Heat Equation Solver in Chapel, Charm++, C++, HPX, Go, Julia, Python, Rust, Swift, and Java. CoRR abs/2307.01117 (2023) - [i28]Patrick Diehl, Gregor Daiß, Steven R. Brandt, Alireza Kheirkhahan, Hartmut Kaiser, Christopher Taylor, John Leidel:
Evaluating HPX and Kokkos on RISC-V using an Astrophysics Application Octo-Tiger. CoRR abs/2309.06530 (2023) - 2022
- [c55]Nanmiao Wu, Vito Giovanni Castellana, Hartmut Kaiser:
Towards superior software portability with SHAD and HPX C++ libraries. CF 2022: 251-257 - [c54]Gregor Daiß, Srinivas Yadav Singanaboina, Patrick Diehl, Hartmut Kaiser, Dirk Pflüger:
From Merging Frameworks to Merging Stars: Experiences using HPX, Kokkos and SIMD Types. ESPM2@SC 2022: 10-19 - [c53]Nanmiao Wu, Ioannis Gonidelis, Simeng Liu, Zane Fink, Nikunj Gupta, Karame Mohammadiporshokooh, Patrick Diehl, Hartmut Kaiser, Laxmikant V. Kalé:
Quantifying Overheads in Charm++ and HPX Using Task Bench. Euro-Par Workshops 2022: 5-16 - [c52]R. Tohid, Shahrzad Shirzad, Christopher Taylor, Sayef Azad Sakin, Katherine E. Isaacs, Hartmut Kaiser:
Halide Code Generation Framework in Phylanx. Euro-Par Workshops 2022: 32-45 - [c51]Gregor Daiß, Patrick Diehl, Dominic Marcello, Alireza Kheirkhahan, Hartmut Kaiser, Dirk Pflüger:
From Task-Based GPU Work Aggregation to Stellar Mergers: Turning Fine-Grained CPU Tasks into Portable GPU Kernels. P3HPC@SC 2022: 89-99 - [i27]Thomas Heller, Hartmut Kaiser, Patrick Diehl, Dietmar Fey, Marc Alexander Schweitzer:
Closing the Performance Gap with Modern C++. CoRR abs/2206.06302 (2022) - [i26]Nanmiao Wu, Ioannis Gonidelis, Simeng Liu, Zane Fink, Nikunj Gupta, Karame Mohammadiporshokooh, Patrick Diehl, Hartmut Kaiser, Laxmikant V. Kalé:
Quantifying Overheads in Charm++ and HPX using Task Bench. CoRR abs/2207.12127 (2022) - [i25]Sayef Azad Sakin, Alex Bigelow, R. Tohid, Connor Scully-Allison, Carlos Scheidegger, Steven R. Brandt, Christopher Taylor, Kevin A. Huck, Hartmut Kaiser, Katherine E. Isaacs:
Traveler: Navigating Task Parallel Traces for Performance Analysis. CoRR abs/2208.00109 (2022) - [i24]Patrick Diehl, Gregor Daiß, Kevin A. Huck, Dominic Marcello, Sagiv Shiber, Hartmut Kaiser, Juhan Frank, Geoffrey C. Clayton, Dirk Pflüger:
Distributed, combined CPU and GPU profiling within HPX using APEX. CoRR abs/2210.06437 (2022) - [i23]Gregor Daiß, Patrick Diehl, Dominic Marcello, Alireza Kheirkhahan, Hartmut Kaiser, Dirk Pflüger:
From Task-Based GPU Work Aggregation to Stellar Mergers: Turning Fine-Grained CPU Tasks into Portable GPU Kernels. CoRR abs/2210.06438 (2022) - [i22]Gregor Daiß, Srinivas Yadav Singanaboina, Patrick Diehl, Hartmut Kaiser, Dirk Pflüger:
From Merging Frameworks to Merging Stars: Experiences using HPX, Kokkos and SIMD Types. CoRR abs/2210.06439 (2022) - 2021
- [j12]Patrick Diehl, Dominic Marcello, Parsa Amini, Hartmut Kaiser, Sagiv Shiber, Geoffrey C. Clayton, Juhan Frank, Gregor Daiß, Dirk Pflüger, David Eder, Alice Koniges, Kevin A. Huck:
Performance Measurements Within Asynchronous Task-Based Runtime Systems: A Double White Dwarf Merger as an Application. Comput. Sci. Eng. 23(3): 73-81 (2021) - [c50]Patrick Diehl, Gregor Daiß, Dominic Marcello, Kevin A. Huck, Sagiv Shiber, Hartmut Kaiser, Juhan Frank, Geoffrey C. Clayton, Dirk Pflüger:
Octo-Tiger's New Hydro Module and Performance Using HPX+CUDA on ORNL's Summit. CLUSTER 2021: 204-214 - [c49]Srinivas Yadav, Nikunj Gupta, Auriane Reverdell, Hartmut Kaiser:
Parallel SIMD - A Policy Based Solution for Free Speed-Up using C++ Data-Parallel Types. ESPM2@SC 2021: 20-29 - [c48]Shahrzad Shirzad, R. Tohid, Alireza Kheirkhahan, Bibek Wagle, Hartmut Kaiser:
Understanding the Effect of Task Granularity on Execution Time in Asynchronous Many-Task Runtime Systems. Euro-Par Workshops 2021: 456-467 - [c47]Gregor Daiß, Mikael Simberg, Auriane Reverdell, John Biddiscombe, Theresa Pollinger, Hartmut Kaiser, Dirk Pflüger:
Beyond Fork-Join: Integration of Performance Portable Kokkos Kernels with HPX. IPDPS Workshops 2021: 377-386 - [c46]Weile Wei, Eduardo F. D'Azevedo, Kevin A. Huck, Arghya Chatterjee, Oscar R. Hernandez, Hartmut Kaiser:
Memory reduction using a ring abstraction over GPU RDMA for distributed quantum Monte Carlo solver. PASC 2021: 14:1-14:9 - [i21]Patrick Diehl, Dominic Marcello, Parsa Amini, Hartmut Kaiser, Sagiv Shiber, Geoffrey C. Clayton, Juhan Frank, Gregor Daiß, Dirk Pflüger, David Eder, Alice Koniges, Kevin A. Huck:
Performance Measurements within Asynchronous Task-based Runtime Systems: A Double White Dwarf Merger as an Application. CoRR abs/2102.00223 (2021) - [i20]Weile Wei, Eduardo F. D'Azevedo, Kevin A. Huck, Arghya Chatterjee, Oscar R. Hernandez, Hartmut Kaiser:
Memory Reduction using a Ring Abstraction over GPU RDMA for Distributed Quantum Monte Carlo Solver. CoRR abs/2105.00027 (2021) - [i19]Patrick Diehl, Gregor Daiß, Dominic Marcello, Kevin A. Huck, Sagiv Shiber, Hartmut Kaiser, Juhan Frank, Dirk Pflüger:
Octo-Tiger's New Hydro Module and Performance Using HPX+CUDA on ORNL's Summit. CoRR abs/2107.10987 (2021) - 2020
- [j11]Hartmut Kaiser, Patrick Diehl, Adrian S. Lemoine, Bryce Lelbach, Parsa Amini, Agustín Berge, John Biddiscombe, Steven R. Brandt, Nikunj Gupta, Thomas Heller, Kevin A. Huck, Zahra Khatami, Alireza Kheirkhahan, Auriane Reverdell, Shahrzad Shirzad, Mikael Simberg, Bibek Wagle, Weile Wei, Tianyi Zhang:
HPX - The C++ Standard Library for Parallelism and Concurrency. J. Open Source Softw. 5(53): 2352 (2020) - [c45]Steven R. Brandt, Bita Hasheminezhad, Nanmiao Wu, Sayef Azad Sakin, Alex R. Bigelow, Katherine E. Isaacs, Kevin A. Huck, Hartmut Kaiser:
Distributed Asynchronous Array Computing with the JetLag Environment. PyHPC@SC 2020: 49-57 - [c44]Nikunj Gupta, Steven R. Brandt, Bibek Wagle, Nanmiao Wu, Alireza Kheirkhahan, Patrick Diehl, Felix W. Baumann, Hartmut Kaiser:
Deploying a Task-based Runtime System on Raspberry Pi Clusters. ESPM2@SC 2020: 11-20 - [c43]Nikunj Gupta, Jackson R. Mayo, Adrian S. Lemoine, Hartmut Kaiser:
Towards Distributed Software Resilience in Asynchronous Many- Task Programming Models. FTXS@SC 2020: 11-20 - [c42]Bita Hasheminezhad, Shahrzad Shirzad, Nanmiao Wu, Patrick Diehl, Hannes Schulz, Hartmut Kaiser:
Towards a Scalable and Distributed Infrastructure for Deep Learning Applications. DLS@SC 2020: 20-30 - [c41]Weile Wei, Arghya Chatterjee, Kevin A. Huck, Oscar R. Hernandez, Hartmut Kaiser:
Performance Analysis of a Quantum Monte Carlo Application on Multiple Hardware Architectures Using the HPX Runtime. ScalA@SC 2020: 77-84 - [c40]Steven R. Brandt, Alex Bigelow, Sayef Azad Sakin, Katy Williams, Katherine E. Isaacs, Kevin A. Huck, Rod Tohid, Bibek Wagle, Shahrzad Shirzad, Hartmut Kaiser:
JetLag: An Interactive, Asynchronous Array Computing Environment. PEARC 2020: 8-12 - [i18]Tianyi Zhang, Shahrzad Shirzad, Bibek Wagle, Adrian S. Lemoine, Patrick Diehl, Hartmut Kaiser:
Supporting OpenMP 5.0 Tasks in hpxMP - A study of an OpenMP implementation within Task Based Runtime Systems. CoRR abs/2002.07970 (2020) - [i17]Nikunj Gupta, Jackson R. Mayo, Adrian S. Lemoine, Hartmut Kaiser:
Implementing Software Resiliency in HPX for Extreme Scale Computing. CoRR abs/2004.07203 (2020) - [i16]Bita Hasheminezhad, Shahrzad Shirzad, Nanmiao Wu, Patrick Diehl, Hannes Schulz, Hartmut Kaiser:
Towards a Scalable and Distributed Infrastructure for Deep Learning Applications. CoRR abs/2010.03012 (2020) - [i15]Nikunj Gupta, Steven R. Brandt, Bibek Wagle, Nanmiao Wu, Alireza Kheirkhahan, Patrick Diehl, Hartmut Kaiser, Felix W. Baumann:
Deploying a Task-based Runtime System on Raspberry Pi Clusters. CoRR abs/2010.04106 (2020) - [i14]Weile Wei, Arghya Chatterjee, Kevin A. Huck, Oscar R. Hernandez, Hartmut Kaiser:
Performance Analysis of a Quantum Monte Carlo Application on Multiple Hardware Architectures Using the HPX Runtime. CoRR abs/2010.07098 (2020) - [i13]Nikunj Gupta, Jackson R. Mayo, Adrian S. Lemoine, Hartmut Kaiser:
Towards Distributed Software Resilience in Asynchronous Many-Task Programming Models. CoRR abs/2010.10930 (2020)
2010 – 2019
- 2019
- [j10]Thomas Heller, Bryce Adelstein-Lelbach, Kevin A. Huck, John Biddiscombe, Patricia Grubel, Alice E. Koniges, Matthias Kretz, Dominic Marcello, David Pfander, Adrian Serio, Frank J. Seinstra, Geoffrey C. Clayton, Dirk Pflüger, David Eder, Hartmut Kaiser:
Harnessing billions of tasks for a scalable portable hydrodynamic simulation of the merger of two stars. Int. J. High Perform. Comput. Appl. 33(4) (2019) - [j9]Maximilian H. Bremer, Kazbek Kazhyken, Hartmut Kaiser, Craig Michoski, Clint Dawson:
Performance Comparison of HPX Versus Traditional Parallelization Strategies for the Discontinuous Galerkin Method. J. Sci. Comput. 80(2): 878-902 (2019) - [c39]Bibek Wagle, Mohammad Alaul Haque Monil, Kevin A. Huck, Allen D. Malony, Adrian Serio, Hartmut Kaiser:
Runtime Adaptive Task Inlining on Asynchronous Multitasking Runtime Systems. ICPP 2019: 76:1-76:10 - [c38]Tianyi Zhang, Shahrzad Shirzad, Patrick Diehl, R. Tohid, Weile Wei, Hartmut Kaiser:
An Introduction to hpxMP: A Modern OpenMP Implementation Leveraging HPX, An Asynchronous Many-Task System. IWOCL 2019: 13:1-13:10 - [c37]Parsa Amini, Hartmut Kaiser:
Assessing the Performance Impact of using an Active Global Address Space in HPX: A Case for AGAS. IPDRM@SC 2019: 26-33 - [c36]Gabriel Laberge, Shahrzad Shirzad, Patrick Diehl, Hartmut Kaiser, Serge Prudhomme, Adrian S. Lemoine:
Scheduling Optimization of Parallel Linear Algebra Algorithms Using Supervised Learning. MLHPC@SC 2019: 31-43 - [c35]Gregor Daiß, Parsa Amini, John Biddiscombe, Patrick Diehl, Juhan Frank, Kevin A. Huck, Hartmut Kaiser, Dominic Marcello, David Pfander, Dirk Pflüger:
From piz daint to the stars: simulation of stellar mergers using high-level abstractions. SC 2019: 62:1-62:37 - [i12]Tianyi Zhang, Shahrzad Shirzad, Patrick Diehl, R. Tohid, Weile Wei, Hartmut Kaiser:
An Introduction to hpxMP - A Modern OpenMP Implementation Leveraging Asynchronous Many-Tasking System. CoRR abs/1903.03023 (2019) - [i11]Gregor Daiß, Parsa Amini, John Biddiscombe, Patrick Diehl, Juhan Frank, Kevin A. Huck, Hartmut Kaiser, Dominic Marcello, David Pfander, Dirk Pflüger:
From Piz Daint to the Stars: Simulation of Stellar Mergers using High-Level Abstractions. CoRR abs/1908.03121 (2019) - [i10]Gabriel Laberge, Shahrzad Shirzad, Patrick Diehl, Hartmut Kaiser, Serge Prudhomme, Adrian S. Lemoine:
Scheduling optimization of parallel linear algebra algorithms using Supervised Learning. CoRR abs/1909.03947 (2019) - 2018
- [c34]Bibek Wagle, Samuel Kellar, Adrian Serio, Hartmut Kaiser:
Methodology for Adaptive Active Message Coalescing in Task Based Runtime Systems. IPDPS Workshops 2018: 1133-1140 - [c33]David Pfander, Gregor Daiß, Dominic Marcello, Hartmut Kaiser, Dirk Pflüger:
Accelerating Octo-Tiger: Stellar Mergers on Intel Knights Landing with HPX. IWOCL 2018: 19:1-19:8 - [c32]Patrick Diehl, Madhavan Seshadri, Thomas Heller, Hartmut Kaiser:
Integration of CUDA Processing within the C++ Library for Parallelism and Concurrency (HPX). ESPM2@SC 2018: 19-28 - [c31]R. Tohid, Bibek Wagle, Shahrzad Shirzad, Patrick Diehl, Adrian Serio, Alireza Kheirkhahan, Parsa Amini, Katy Williams, Kate Isaacs, Kevin A. Huck, Steven R. Brandt, Hartmut Kaiser:
Asynchronous Execution of Python Code on Task-Based Runtime Systems. ESPM2@SC 2018: 37-45 - [i9]Patrick Diehl, Prashant K. Jha, Hartmut Kaiser, Robert Lipton, Martin Lévesque:
Implementation of Peridynamics utilizing HPX - the C++ standard library for parallelism and concurrency. CoRR abs/1806.06917 (2018) - [i8]R. Tohid, Bibek Wagle, Shahrzad Shirzad, Patrick Diehl, Adrian Serio, Alireza Kheirkhahan, Parsa Amini, Katy Williams, Kate Isaacs, Kevin A. Huck, Steven R. Brandt, Hartmut Kaiser:
Asynchronous Execution of Python Code on Task Based Runtime Systems. CoRR abs/1810.07591 (2018) - [i7]Patrick Diehl, Madhavan Seshadri, Thomas Heller, Hartmut Kaiser:
Integration of CUDA Processing within the C++ library for parallelism and concurrency (HPX). CoRR abs/1810.11482 (2018) - 2017
- [c30]Zahra Khatami, Hartmut Kaiser, J. Ramanujam:
Improving the Parallel Performance of an NBody Application Using Adaptive Techniques in HPX. HPCC/SmartCity/DSS 2017: 621-622 - [c29]Zahra Khatami, Hartmut Kaiser, J. Ramanujam:
Redesigning OP2 Compiler to Use HPX Runtime Asynchronous Techniques. IPDPS Workshops 2017: 1198-1207 - [c28]Zahra Khatami, Sungpack Hong, Jinsoo Lee, Siegfried Depner, Hassan Chafi, J. Ramanujam, Hartmut Kaiser:
A Load-Balanced Parallel and Distributed Sorting Algorithm Implemented with PGX.D. IPDPS Workshops 2017: 1317-1324 - [c27]Marcin Copik, Hartmut Kaiser:
Using SYCL as an Implementation Framework for HPX.Compute. IWOCL 2017: 30:1-30:7 - [c26]Zahra Khatami, Lukas Troska, Hartmut Kaiser, J. Ramanujam, Adrian Serio:
HPX Smart Executors. ESPM2@SC 2017: 3:1-3:8 - [i6]Zahra Khatami, Hartmut Kaiser, J. Ramanujam:
Redesigning OP2 Compiler to Use HPX Runtime Asynchronous Techniques. CoRR abs/1703.09264 (2017) - [i5]Zahra Khatami, Lukas Troska, Hartmut Kaiser, J. Ramanujam, Adrian Serio:
HPX Smart Executors. CoRR abs/1711.01519 (2017) - 2016
- [j8]Antoine Tran Tan, Joel Falcou, Daniel Etiemble, Hartmut Kaiser:
Automatic Task-Based Code Generation for High Performance Domain Specific Embedded Language. Int. J. Parallel Program. 44(3): 449-465 (2016) - [c25]Zahra Khatami, Hartmut Kaiser, J. Ramanujam:
Using HPX and OP2 for Improving Parallel Scaling Performance of Unstructured Grid Applications. ICPP Workshops 2016: 190-199 - [c24]Patricia Grubel, Hartmut Kaiser, Kevin A. Huck, Jeanine E. Cook:
Using Intrinsic Performance Counters to Assess Efficiency in Task-Based Parallel Applications. IPDPS Workshops 2016: 1692-1701 - [c23]Antoine Tran Tan, Hartmut Kaiser:
Extending C++ with co-array semantics. ARRAY@PLDI 2016: 63-68 - [c22]Zahra Khatami, Hartmut Kaiser, Patricia Grubel, Adrian Serio, J. Ramanujam:
A Massively Parallel Distributed N-body Application Implemented with HPX. ScalA@SC 2016: 57-64 - [c21]Thomas Heller, Hartmut Kaiser, Patrick Diehl, Dietmar Fey, Marc Alexander Schweitzer:
Closing the Performance Gap with Modern C++. ISC Workshops 2016: 18-31 - 2015
- [j7]Kevin A. Huck, Allan Porterfield, Nicholas Chaimov, Hartmut Kaiser, Allen D. Malony, Thomas L. Sterling, Rob Fowler:
An Autonomic Performance Environment for Exascale. Supercomput. Front. Innov. 2(3): 49-66 (2015) - [c20]Patricia Grubel, Hartmut Kaiser, Jeanine E. Cook, Adrian Serio:
The Performance Implication of Task Size for Applications on the HPX Runtime System. CLUSTER 2015: 682-689 - [c19]Zachary D. Byerly, Hartmut Kaiser, Steven Brus, Andreas Schäfer:
A Non-intrusive Technique for Interfacing Legacy Fortran Codes with Modern C++ Runtime Systems. CANDAR 2015: 503-507 - [c18]Hartmut Kaiser, Thomas Heller, Daniel Bourgeois, Dietmar Fey:
Higher-level parallelization for local and distributed asynchronous task-based programming. ESPM@SC 2015: 29-37 - 2014
- [c17]Shuangyang Yang, Maciej Brodowicz, Walter B. Ligon III, Hartmut Kaiser:
PXFS: A persistent storage model for extreme Scale. ICNC 2014: 900-906 - [c16]Hartmut Kaiser, Thomas Heller, Bryce Adelstein-Lelbach, Adrian Serio, Dietmar Fey:
HPX: A Task Based Programming Model in a Global Address Space. PGAS 2014: 6:1-6:11 - 2013
- [j6]Thomas Heller, Hartmut Kaiser, Klaus Iglberger:
Application of the ParalleX execution model to stencil-based problems. Comput. Sci. Res. Dev. 28(2-3): 253-261 (2013) - [c15]Kevin A. Huck, Sameer Shende, Allen D. Malony, Hartmut Kaiser, Allan Porterfield, Robert J. Fowler, Ron Brightwell:
An early prototype of an autonomic performance environment for exascale. ROSS@ICS 2013: 8:1-8:8 - [c14]Matthew Anderson, Maciej Brodowicz, Thomas L. Sterling, Hartmut Kaiser, Bryce Adelstein-Lelbach:
Tabulated Equations of State with a Many-tasking Execution Model. IPDPS Workshops 2013: 1691-1699 - [c13]Thomas Heller, Hartmut Kaiser, Andreas Schäfer, Dietmar Fey:
Using HPX and LibGeoDecomp for scaling HPC applications on heterogeneous supercomputers. ScalA@SC 2013: 1:1-1:8 - 2012
- [j5]Chirag Dekate, Matthew Anderson, Maciej Brodowicz, Hartmut Kaiser, Bryce Adelstein-Lelbach, Thomas L. Sterling:
Improving the scalability of parallel N-body applications with an event-driven constraint-based execution model. Int. J. High Perform. Comput. Appl. 26(3): 319-332 (2012) - [c12]Brian Blanton, John McGee, Jason Fleming, Carola Kaiser, Hartmut Kaiser, Howard Lander, Rick A. Luettich, Kendra Dresback, Randy Kolar:
Urgent Computing of Storm Surge for North Carolina's Coast. ICCS 2012: 1677-1686 - [i4]Matthew Anderson, Maciej Brodowicz, Hartmut Kaiser, Bryce Adelstein-Lelbach, Thomas L. Sterling:
Neutron Star Evolutions using Tabulated Equations of State with a New Execution Model. CoRR abs/1205.5055 (2012) - 2011
- [j4]Alexandre Tabbal, Matthew Anderson, Maciej Brodowicz, Hartmut Kaiser, Thomas L. Sterling:
Preliminary design examination of the ParalleX system from a software and hardware perspective. SIGMETRICS Perform. Evaluation Rev. 38(4): 81-87 (2011) - [i3]Chirag Dekate, Matthew Anderson, Maciej Brodowicz, Hartmut Kaiser, Bryce Adelstein-Lelbach, Thomas L. Sterling:
Improving the scalability of parallel N-body applications with an event driven constraint based execution model. CoRR abs/1109.5190 (2011) - [i2]Matthew Anderson, Maciej Brodowicz, Hartmut Kaiser, Thomas L. Sterling:
An Application Driven Analysis of the ParalleX Execution Model. CoRR abs/1109.5201 (2011) - [i1]Matthew Anderson, Maciej Brodowicz, Hartmut Kaiser, Bryce Adelstein-Lelbach, Thomas L. Sterling:
Adaptive Mesh Refinement for Astrophysics Applications with ParalleX. CoRR abs/1110.1131 (2011) - 2010
- [c11]Mathijs den Burger, Ceriel J. H. Jacobs, Thilo Kielmann, André Merzky, Ole Weidner, Hartmut Kaiser:
What Is the Price of Simplicity? - A Cross-Platform Evaluation of the SAGA API. Euro-Par (1) 2010: 392-404
2000 – 2009
- 2009
- [c10]Chris Miceli, Michael Miceli, Shantenu Jha, Hartmut Kaiser, André Merzky:
Programming Abstractions for Data Intensive Computing on Clouds and Grids. CCGRID 2009: 478-483 - [c9]Hartmut Kaiser, Maciej Brodowicz, Thomas L. Sterling:
ParalleX. ICPP Workshops 2009: 394-401 - 2008
- [j3]Gabrielle Allen, Philip Bogden, Gerry Creager, Chirag Dekate, Carola Jesch, Hartmut Kaiser, Jon MacLaren, Will Perrie, Gregory W. Stone, Xiongping Zhang:
Towards an integrated GIS-based coastal forecast workflow. Concurr. Comput. Pract. Exp. 20(14): 1637-1651 (2008) - [c8]Alex Nagelberg, Carola Kaiser, Hartmut Kaiser, Gabrielle Allen:
Near realtime visualization of coastal modelling results with WMS and Google Maps. Mardi Gras Conference 2008: 26 - 2007
- [c7]Shantenu Jha, Hartmut Kaiser, Yaakoub El Khamra, Ole Weidner:
Design and Implementation of Network Performance Aware Applications Using SAGA and Cactus. eScience 2007: 143-150 - [c6]Shantenu Jha, Hartmut Kaiser, André Merzky, Ole Weidner:
Grid Interoperability at the Application Level Using SAGA. eScience 2007: 584-591 - 2006
- [j2]Andrei Hutanu,