Hartmut Kaiser

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 84

Top Venues

Publications

Thomas Heller, Patrick Diehl, Zachary D. Byerly, John Biddiscombe, Hartmut Kaiser
HPX - An open source C++ Standard Library for Parallelism and Concurrency. CoRR (2024)
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 (2024)
Patrick Diehl, Steven R. Brandt, Hartmut Kaiser
Shared Memory Parallelism in Modern C++ and HPX. SN Comput. Sci. 5 (5) (2024)
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)
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)
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 (2024)
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 (2024)
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) (2024)
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 (2024)
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)
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)
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 (2023)
Patrick Diehl, Steven R. Brandt, Hartmut Kaiser
Shared memory parallelism in Modern C++ and HPX. CoRR (2023)
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)
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)
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)
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 (2023)
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 (2023)
Patrick Diehl, Steven R. Brandt, Hartmut Kaiser
Shared Memory Parallelism in Modern C++ and HPX. WAMTA (2023)
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 (2023)
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) (2023)
Nanmiao Wu, Vito Giovanni Castellana, Hartmut Kaiser
Towards superior software portability with SHAD and HPX C++ libraries. CF (2022)
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 (2022)
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 (2022)
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)
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 (2022)
R. Tohid, Shahrzad Shirzad, Christopher Taylor, Sayef Azad Sakin, Katherine E. Isaacs, Hartmut Kaiser
Halide Code Generation Framework in Phylanx. Euro-Par Workshops (2022)
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 (2022)
Thomas Heller, Hartmut Kaiser, Patrick Diehl, Dietmar Fey, Marc Alexander Schweitzer
Closing the Performance Gap with Modern C++. CoRR (2022)
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)
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)
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 (2022)
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)
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)
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) (2021)
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)
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 (2021)
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)
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)
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 (2021)
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 (2021)
Nikunj Gupta, Jackson R. Mayo, Adrian S. Lemoine, Hartmut Kaiser
Towards Distributed Software Resilience in Asynchronous Many- Task Programming Models. FTXS@SC (2020)
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)
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 (2020)
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 (2020)
Nikunj Gupta, Jackson R. Mayo, Adrian S. Lemoine, Hartmut Kaiser
Towards Distributed Software Resilience in Asynchronous Many-Task Programming Models. CoRR (2020)
Nikunj Gupta, Jackson R. Mayo, Adrian S. Lemoine, Hartmut Kaiser
Implementing Software Resiliency in HPX for Extreme Scale Computing. CoRR (2020)
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) (2020)
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)
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)
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 (2020)
Bita Hasheminezhad, Shahrzad Shirzad, Nanmiao Wu, Patrick Diehl, Hannes Schulz, Hartmut Kaiser
Towards a Scalable and Distributed Infrastructure for Deep Learning Applications. CoRR (2020)
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)
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)
Gabriel Laberge, Shahrzad Shirzad, Patrick Diehl, Hartmut Kaiser, Serge Prudhomme, Adrian S. Lemoine
Scheduling optimization of parallel linear algebra algorithms using Supervised Learning. CoRR (2019)
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 (2019)
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)
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)
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 (2019)
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)
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) (2019)
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)
Parsa Amini, Hartmut Kaiser
Assessing the Performance Impact of using an Active Global Address Space in HPX: A Case for AGAS. IPDRM@SC (2019)
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)
Patrick Diehl, Madhavan Seshadri, Thomas Heller, Hartmut Kaiser
Integration of CUDA Processing within the C++ Library for Parallelism and Concurrency (HPX). ESPM2@SC (2018)
Bibek Wagle, Samuel Kellar, Adrian Serio, Hartmut Kaiser
Methodology for Adaptive Active Message Coalescing in Task Based Runtime Systems. IPDPS Workshops (2018)
David Pfander, Gregor Daiß, Dominic Marcello, Hartmut Kaiser, Dirk Pflüger
Accelerating Octo-Tiger: Stellar Mergers on Intel Knights Landing with HPX. IWOCL (2018)
Patrick Diehl, Madhavan Seshadri, Thomas Heller, Hartmut Kaiser
Integration of CUDA Processing within the C++ library for parallelism and concurrency (HPX). CoRR (2018)
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 (2018)
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)
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 (2018)
Zahra Khatami, Hartmut Kaiser, J. Ramanujam
Improving the Parallel Performance of an NBody Application Using Adaptive Techniques in HPX. HPCC/SmartCity/DSS (2017)
Zahra Khatami, Lukas Troska, Hartmut Kaiser, J. Ramanujam, Adrian Serio
HPX Smart Executors. CoRR (2017)
Marcin Copik, Hartmut Kaiser
Using SYCL as an Implementation Framework for HPX.Compute. IWOCL (2017)
Zahra Khatami, Hartmut Kaiser, J. Ramanujam
Redesigning OP2 Compiler to Use HPX Runtime Asynchronous Techniques. IPDPS Workshops (2017)
Zahra Khatami, Hartmut Kaiser, J. Ramanujam
Redesigning OP2 Compiler to Use HPX Runtime Asynchronous Techniques. CoRR (2017)
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)
Zahra Khatami, Lukas Troska, Hartmut Kaiser, J. Ramanujam, Adrian Serio
HPX Smart Executors. ESPM2@SC (2017)
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) (2016)
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)
Zahra Khatami, Hartmut Kaiser, J. Ramanujam
Using HPX and OP2 for Improving Parallel Scaling Performance of Unstructured Grid Applications. ICPP Workshops (2016)
Zahra Khatami, Hartmut Kaiser, Patricia Grubel, Adrian Serio, J. Ramanujam
A Massively Parallel Distributed N-body Application Implemented with HPX. ScalA@SC (2016)
Thomas Heller, Hartmut Kaiser, Patrick Diehl, Dietmar Fey, Marc Alexander Schweitzer
Closing the Performance Gap with Modern C++. ISC Workshops (2016)
Antoine Tran Tan, Hartmut Kaiser
Extending C++ with co-array semantics. ARRAY@PLDI (2016)
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) (2015)
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)
Patricia Grubel, Hartmut Kaiser, Jeanine E. Cook, Adrian Serio
The Performance Implication of Task Size for Applications on the HPX Runtime System. CLUSTER (2015)
Hartmut Kaiser, Thomas Heller, Daniel Bourgeois, Dietmar Fey
Higher-level parallelization for local and distributed asynchronous task-based programming. ESPM@SC (2015)
Hartmut Kaiser, Thomas Heller, Bryce Adelstein-Lelbach, Adrian Serio, Dietmar Fey
HPX: A Task Based Programming Model in a Global Address Space. PGAS (2014)
Shuangyang Yang, Maciej Brodowicz, Walter B. Ligon III, Hartmut Kaiser
PXFS: A persistent storage model for extreme Scale. ICNC (2014)
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)
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)
Thomas Heller, Hartmut Kaiser, Andreas Schäfer, Dietmar Fey
Using HPX and LibGeoDecomp for scaling HPC applications on heterogeneous supercomputers. ScalA@SC (2013)
Thomas Heller, Hartmut Kaiser, Klaus Iglberger
Application of the ParalleX execution model to stencil-based problems. Comput. Sci. Res. Dev. 28 (2-3) (2013)
Chirag Dekate, Matthew Anderson, Maciej Brodowicz, Hartmut Kaiser, Bryce Adelstein-Lelbach, Thomas L. Sterling
-body applications with an event-driven constraint-based execution model. Int. J. High Perform. Comput. Appl. 26 (3) (2012)
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 (2012)
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)
Matthew Anderson, Maciej Brodowicz, Hartmut Kaiser, Bryce Adelstein-Lelbach, Thomas L. Sterling
Adaptive Mesh Refinement for Astrophysics Applications with ParalleX CoRR (2011)
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 (2011)
Matthew Anderson, Maciej Brodowicz, Hartmut Kaiser, Thomas L. Sterling
An Application Driven Analysis of the ParalleX Execution Model CoRR (2011)

Hartmut Kaiser.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Hartmut Kaiser