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检索条件"主题词=Task-based Programming"
37 条 记 录,以下是1-10 订阅
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Trade-Off of Offloading to FPGA in OpenMP task-based programming  14th
Trade-Off of Offloading to FPGA in OpenMP Task-Based Program...
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14th International Workshop on Open MP (IWOMP)
作者: Watanabe, Yutaka Lee, Jinpil Boku, Taisuke Sato, Mitsuhisa Univ Tsukuba Grad Sch Syst & Informat Engn Tsukuba Ibaraki Japan RIKEN Ctr Computat Sci Kobe Hyogo Japan Univ Tsukuba Ctr Computat Sci Tsukuba Ibaraki Japan
In High-Performance Computing (HPC), Field Programmable Gate Array (FPGA) is attracting increased attention as an accelerator because its performance has been dramatically improved in recent years. On the other hand, ... 详细信息
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task-based programming for Seismic Imaging: Preliminary Results  16
Task-based programming for Seismic Imaging: Preliminary Resu...
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16th IEEE Int Conf on High Performance Computing and Communications/11th IEEE Int Conf on Embedded Software and Systems\6th Int Symposium on Cyberspace Safety and Security
作者: Boillot, Lionel Bosilca, George Agullo, Emmanuel Calandra, Henri INRIA Bordeaux Sud Ouest Mag Project Team 3D Ave UnivBP 1155 F-64013 Pau France Univ Tennessee Dept EECS ICL Knoxville TN 37996 USA INRIA Bordeaux Sud Ouest HiePACS Project Team F-33405 Talence France TOTAL EP Depth Imaging & High Performance Comp Houston TX 77057 USA
The level of hardware complexity of current super-computers is forcing the High Performance Computing (HPC) community to reconsider parallel programming paradigms and standards. The high-level of hardware abstraction ... 详细信息
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Enabling FPGA and AI Engine tasks in the HPX programming Framework for Heterogeneous High-Performance Computing  20th
Enabling FPGA and AI Engine Tasks in the HPX Programming Fra...
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20th International Symposium on Applied Reconfigurable Computing (ARC)
作者: Kalkhof, Torben Heinz, Carsten Koch, Andreas Tech Univ Darmstadt Embedded Syst & Applicat Grp Darmstadt Germany
The increasing complexity of modern exascale computers, with a growing number of cores per node, poses a challenge to traditional programming models. To address this challenge, Asynchronous Many-task (AMT) runtimes su... 详细信息
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PaRSEC: Scalability, flexibility, and hybrid architecture support for task-based applications in ECP
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INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS 2025年 第1期39卷 147-166页
作者: Bouteiller, Aurelien Herault, Thomas Cao, Qinglei Schuchart, Joseph Bosilca, George Univ Tennessee Dept Elect Engn & Comp Sci 1122 Volunteer BlvdSuite 203 Knoxville TN 37996 USA St Louis Univ Dept Comp Sci St Louis MO USA Nvidia Corp Santa Clara CA USA
This paper highlights the most significant enhancements made to PaRSEC, a scalable task-based runtime system designed for hybrid machines, during the Exascale Computing Project (ECP). The enhancements focus on expandi... 详细信息
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Optimizing Parallel System Efficiency: Dynamic task Graph Adaptation with Recursive tasks  1
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2nd International Workshop on Asynchronous Many-task Systems and Applications (WAMTA)
作者: Furmento, Nathalie Guermouche, Abdou Lucas, Gwenole Morin, Thomas Thibault, Samuel Wacrenier, Pierre-Andre Univ Bordeaux LaBRI Inria CNRS Bordeaux France
task-based programming models significantly improve the efficiency of parallel systems. The Sequential task Flow (STF) model focuses on static task sizes within task graphs, but determining optimal granularity during ... 详细信息
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Combining Asynchronous task Parallelism and Intel SGX for Secure Deep Learning  19
Combining Asynchronous Task Parallelism and Intel SGX for Se...
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19th European Dependable Computing Conference (EDCC)
作者: Rocha, Isabelly Felber, Pascal Martorel, Xavier Pasin, Marcelo Schiavoni, Valerio Unsal, Osman Univ Neuchatel Inst Comp Sci IIUN Neuchatel Switzerland Barcelona Supercomputing Ctr Barcelona Spain Univ Politecn Cataluna Barcelona Spain
A common way of improving performance of applications for multi-core processors is to exploit parallelism. In deep learning (DL), training or tuning parameters use user's sensitive data, and thus preserving privac... 详细信息
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Speaking Pygion: Experiences Writing an Exascale Single Particle Imaging Code  1
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2nd International Workshop on Asynchronous Many-task Systems and Applications (WAMTA)
作者: Mirchandaney, Seema Aiken, Alex Slaughter, Elliott SLAC Natl Accelerator Lab Menlo Pk CA 94025 USA Stanford Univ Stanford CA 94305 USA
The goal of the SpiniFEL project was to write, from scratch, a single particle imaging code for exascale supercomputers. The original vision was to have two versions of the code, one in MPI and one in Pygion, a Python... 详细信息
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Elasticity in a task-based Dataflow Runtime Through Inter-node GPU Work Stealing  24
Elasticity in a Task-based Dataflow Runtime Through Inter-no...
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24th IEEE/ACM International Symposium on Cluster, Cloud, and Internet Computing (CCGrid)
作者: John, Joseph Milthorpe, Josh Natl Computat Infrastruct Canberra ACT Australia Australian Natl Univ Sch Comp Canberra ACT Australia Oak Ridge Natl Lab Oak Ridge TN USA
Most contemporary HPC programming models assume an inelastic runtime in which the resources allocated to an application remain fixed throughout its execution. Conversely, elastic runtimes can expand and shrink resourc... 详细信息
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Detrimental task Execution Patterns in Mainstream OpenMP® Runtimes  20th
Detrimental Task Execution Patterns in Mainstream OpenMP® R...
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20th International Workshop on OpenMP (IWOMP)
作者: Tuft, Adam S. Weinzierl, Tobias Klemm, Michael Univ Durham Dept Comp Sci Durham England Adv Micro Devices GmbH Dornach Munich Germany OpenMP Architecture Review Board Beaverton OR USA
The OpenMP (R) API offers both task-based and data-parallel concepts to scientific computing. While it provides descriptive and prescriptive annotations, it is in many places deliberately unspecific how to implement i... 详细信息
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Pushing the Boundaries of Small tasks: Scalable Low-Overhead Data-Flow programming in TTG
Pushing the Boundaries of Small Tasks: Scalable Low-Overhead...
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IEEE International Conference on Cluster Computing (CLUSTER)
作者: Schuchart, Joseph Nookala, Poornima Herault, Thomas Valeev, Edward F. Bosilca, George Univ Tennessee Innovat Comp Lab Knoxville TN 37996 USA SUNY Stony Brook Inst Adv Computat Sci Stony Brook NY 11794 USA Virginia Polytech Inst & State Univ Dept Chem Blacksburg VA 24061 USA
Shared memory parallel programming models strive to provide low-overhead execution environments. task-based programming models, in particular, are well-suited to cope with the ubiquitous multi- and many-core systems s... 详细信息
来源: 评论