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2020 – today
- 2024
- [b1]Patrick Diehl
, Steven R. Brandt
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
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
HPX with Spack and Singularity Containers: Evaluating Overheads for HPX/Kokkos Using an Astrophysics Application. WAMTA 2024: 173-184 - [c62]Srinivas Yadav Singanaboina
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
Traveler: Navigating Task Parallel Traces for Performance Analysis. IEEE Trans. Vis. Comput. Graph. 29(1): 788-797 (2023) - [c61]Patrick Diehl
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
Simulating Stellar Merger using HPX/Kokkos on A64FX on Supercomputer Fugaku. IPDPS Workshops 2023: 682-691 - [c59]Gregor Daiß
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
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
Evaluating HPX and Kokkos on RISC-V using an astrophysics application Octo-Tiger. SC Workshops 2023: 1533-1542 - [c56]Patrick Diehl
Shared Memory Parallelism in Modern C++ and HPX. WAMTA 2023: 27-38 - [e1]Patrick Diehl
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] - [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
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
From Merging Frameworks to Merging Stars: Experiences using HPX, Kokkos and SIMD Types. ESPM2@SC 2022: 10-19 - [c53]Nanmiao Wu
Quantifying Overheads in Charm++ and HPX Using Task Bench. Euro-Par Workshops 2022: 5-16 - [c52]R. Tohid
Halide Code Generation Framework in Phylanx. Euro-Par Workshops 2022: 32-45 - [c51]Gregor Daiß
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
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
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
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
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
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
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
Understanding the Effect of Task Granularity on Execution Time in Asynchronous Many-Task Runtime Systems. Euro-Par Workshops 2021: 456-467 - [c47]Gregor Daiß
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
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
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
Octo-Tiger's New Hydro Module and Performance Using HPX+CUDA on ORNL's Summit. CoRR abs/2107.10987 (2021) - 2020
- [j11]Hartmut Kaiser
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
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
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
Towards a Scalable and Distributed Infrastructure for Deep Learning Applications. DLS@SC 2020: 20-30 - [c41]Weile Wei, Arghya Chatterjee, Kevin A. Huck
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
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
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
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
Performance Comparison of HPX Versus Traditional Parallelization Strategies for the Discontinuous Galerkin Method. J. Sci. Comput. 80(2): 878-902 (2019) - [c39]Bibek Wagle
Runtime Adaptive Task Inlining on Asynchronous Multitasking Runtime Systems. ICPP 2019: 76:1-76:10 - [c38]Tianyi Zhang, Shahrzad Shirzad, Patrick Diehl
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
Scheduling Optimization of Parallel Linear Algebra Algorithms Using Supervised Learning. MLHPC@SC 2019: 31-43 - [c35]Gregor Daiß
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
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
Methodology for Adaptive Active Message Coalescing in Task Based Runtime Systems. IPDPS Workshops 2018: 1133-1140 - [c33]David Pfander, Gregor Daiß
Accelerating Octo-Tiger: Stellar Mergers on Intel Knights Landing with HPX. IWOCL 2018: 19:1-19:8 - [c32]Patrick Diehl
Integration of CUDA Processing within the C++ Library for Parallelism and Concurrency (HPX). ESPM2@SC 2018: 19-28 - [c31]R. Tohid, Bibek Wagle
Asynchronous Execution of Python Code on Task-Based Runtime Systems. ESPM2@SC 2018: 37-45 - [i9]Patrick Diehl
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
Improving the Parallel Performance of an NBody Application Using Adaptive Techniques in HPX. HPCC/SmartCity/DSS 2017: 621-622 - [c29]Zahra Khatami, Hartmut Kaiser
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
A Load-Balanced Parallel and Distributed Sorting Algorithm Implemented with PGX.D. IPDPS Workshops 2017: 1317-1324 - [c27]Marcin Copik
Using SYCL as an Implementation Framework for HPX.Compute. IWOCL 2017: 30:1-30:7 - [c26]Zahra Khatami, Lukas Troska, Hartmut Kaiser
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
Using HPX and OP2 for Improving Parallel Scaling Performance of Unstructured Grid Applications. ICPP Workshops 2016: 190-199 - [c24]Patricia Grubel
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
A Massively Parallel Distributed N-body Application Implemented with HPX. ScalA@SC 2016: 57-64 - [c21]Thomas Heller
Closing the Performance Gap with Modern C++. ISC Workshops 2016: 18-31 - 2015
- [j7]Kevin A. Huck
An Autonomic Performance Environment for Exascale. Supercomput. Front. Innov. 2(3): 49-66 (2015) - [c20]Patricia Grubel
The Performance Implication of Task Size for Applications on the HPX Runtime System. CLUSTER 2015: 682-689 - [c19]Zachary D. Byerly, Hartmut Kaiser
A Non-intrusive Technique for Interfacing Legacy Fortran Codes with Modern C++ Runtime Systems. CANDAR 2015: 503-507 - [c18]Hartmut Kaiser
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
HPX: A Task Based Programming Model in a Global Address Space. PGAS 2014: 6:1-6:11 - 2013
- [j6]Thomas Heller
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
Tabulated Equations of State with a Many-tasking Execution Model. IPDPS Workshops 2013: 1691-1699 - [c13]Thomas Heller
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
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
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
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
Programming Abstractions for Data Intensive Computing on Clouds and Grids. CCGRID 2009: 478-483 - [c9]Hartmut Kaiser
ParalleX. ICPP Workshops 2009: 394-401 - 2008
- [j3]Gabrielle Allen, Philip Bogden, Gerry Creager, Chirag Dekate, Carola Jesch, Hartmut Kaiser
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
Design and Implementation of Network Performance Aware Applications Using SAGA and Cactus. eScience 2007: 143-150 - [c6]Shantenu Jha
Grid Interoperability at the Application Level Using SAGA. eScience 2007: 584-591 - 2006
- [j2]Andrei Hutanu, Gabrielle Allen, Stephen David Beck
Distributed and collaborative visualization of large data sets using high-speed networks. Future Gener. Comput. Syst. 22(8): 1004-1010 (2006) - [c5]Hartmut Kaiser
Versioning and Consistency in Replica Systems. ISPA Workshops 2006: 618-627 - [c4]Stephan Hirmer, Hartmut Kaiser
Generic support for bulk operations in grid applications. MGC@Middleware 2006: 9 - [c3]Stephan Hirmer, Hartmut Kaiser
Seamless Integration of Generic Bulk Operations in Grid Applications. OTM Workshops (1) 2006: 52-54 - [c2]Zhou Lei, Gabrielle Allen, Dayong Huang, Hartmut Kaiser
Poster reception - Utilizing grid computing technologies for advanced reservoir studies. SC 2006: 151 - [c1]Hartmut Kaiser
Poster reception - The SAGA C++ reference implementation: a milestone toward new high-level grid applications. SC 2006: 184 - 2005
- [j1]Gabrielle Allen, Kelly Davis, Tom Goodale
The Grid Application Toolkit: Toward Generic and Easy Application Programming Interfaces for the Grid. Proc. IEEE 93(3): 534-550 (2005)
Coauthor Index
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