Výsledky vyhledávání - parallel amd distributed computing

  1. 1

    Automated parallel execution of distributed task graphs with FPGA clusters Autor de Haro Ruiz, Juan Miguel, Martínez, Carlos Álvarez, Jiménez-González, Daniel, Martorell, Xavier, Ueno, Tomohiro, Sano, Kentaro, Ringlein, Burkhard, Abel, François, Weiss, Beat

    ISSN: 0167-739X
    Vydáno: Elsevier B.V 01.11.2024
    Vydáno v Future generation computer systems (01.11.2024)
    “…Over the years, Field Programmable Gate Arrays (FPGA) have been gaining popularity in the High Performance Computing (HPC…”
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    PRNGine: Massively Parallel Pseudo-Random Number Generation and Probability Distribution Approximations on AMD AI Engines Autor Bouaziz, Mohamed, Fahmy, Suhaib A.

    ISSN: 2995-066X
    Vydáno: IEEE 03.06.2025
    “…Generating large volumes of random numbers is essential for high-performance computing applications such as Monte Carlo simulations, machine learning, and dynamic game-play…”
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  3. 3

    StreamMR: An Optimized MapReduce Framework for AMD GPUs Autor Elteir, M., Heshan Lin, Wu-chun Feng, Scogland, T.

    ISBN: 1457718758, 9781457718755
    ISSN: 1521-9097
    Vydáno: IEEE 01.12.2011
    “…MapReduce is a programming model from Google that facilitates parallel processing on a cluster of thousands of commodity computers…”
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  4. 4

    Optimization and Portability of a Fusion OpenACC-based FORTRAN HPC Code from NVIDIA to AMD GPUs Autor Sfiligoi, Igor, Belli, Emily A, Candy, Jeff, Budiardja, Reuben D

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 17.05.2023
    Vydáno v arXiv.org (17.05.2023)
    “… Recent exascale HPC systems are, however, introducing GPUs from other vendors, e.g. with the AMD GPU-based OLCF Frontier system just becoming available…”
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    Distributed computation of the critical path from execution traces Autor Denys, Pierre‐Frédérick, Fournier, Quentin, Dagenais, Michel R.

    ISSN: 0038-0644, 1097-024X
    Vydáno: Bognor Regis Wiley Subscription Services, Inc 01.08.2023
    Vydáno v Software, practice & experience (01.08.2023)
    “…Due to the ever‐increasing number of computer nodes in distributed systems, efficient and effective tools have become crucial for their analysis…”
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    A method for decompilation of AMD GCN kernels to OpenCL Autor Mihajlenko, K I, Lukin, M A, Stankevich, A S

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 16.07.2021
    Vydáno v arXiv.org (16.07.2021)
    “… They are available for many hardware architectures and programming languages. However, none of the existing decompilers support modern AMD GPU architectures such as AMD GCN and RDNA. Purpose…”
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    Efficient and Distributed Computation of Electron Repulsion Integrals on AMD AI Engines Autor Menzel, Johannes, Plessl, Christian

    ISSN: 2576-2621
    Vydáno: IEEE 04.05.2025
    “…Computing electron repulsion integrals (ERIs) is the major computational bottleneck of many quantum mechanical simulation methods, requiring trillions of ERI evaluations per time step…”
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    Performance portable Vlasov code with C++ parallel algorithm Autor Asahi, Yuuichi, Padioleau, Thomas, Latu, Guillaume, Bigot, Julien, Grandgirard, Virginie, Obrejan, Kevin

    ISSN: 2831-3909
    Vydáno: IEEE 01.11.2022
    “… parallel algorithm to run across multiple CPUs and GPUs. Relying on the language standard parallelism stdpar and proposed language standard multi-dimensional array…”
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    GPU-Accelerated Tree-Search in Chapel Versus CUDA and HIP Autor Helbecque, Guillaume, Krishnasamy, Ezhilmathi, Melab, Nouredine, Bouvry, Pascal

    Vydáno: IEEE 27.05.2024
    “…In the context of exascale programming, the PGAS-based Chapel is among the rare languages targeting the holistic handling of high-performance computing issues including the productivity-aware…”
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    TaPaSCo-AIE: An Open-Source Framework for Streaming-Based Heterogeneous Acceleration Using AMD AI Engines Autor Heinz, Carsten, Kalkhof, Torben, Lavan, Yannick, Koch, Andreas

    Vydáno: IEEE 27.05.2024
    “…AMD AI Engines (AIEs) extend the design space and open up new options for coarse-grained processing in re-configurable accelerators…”
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  11. 11

    On the performance of a highly-scalable Computational Fluid Dynamics code on AMD, ARM and Intel processors Autor Ouro, Pablo, Lopez-Novoa, Unai, Guest, Martyn

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 12.10.2020
    Vydáno v arXiv.org (12.10.2020)
    “…No area of computing is hungrier for performance than High Performance Computing (HPC…”
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    A Performance Model for GPUs with Caches Autor Thanh Tuan Dao, Jungwon Kim, Sangmin Seo, Egger, Bernhard, Jaejin Lee

    ISSN: 1045-9219, 1558-2183
    Vydáno: New York IEEE 01.07.2015
    “…To exploit the abundant computational power of the world's fastest supercomputers, an even workload distribution to the typically heterogeneous compute devices…”
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    BCSR on GPU: A Way Forward Extreme-scale Graph Processing on Accelerator-enabled Frontier Supercomputer Autor Sattar, Naw Safrin, Lu, Hao, Wang, Feiyi

    Vydáno: IEEE 17.11.2024
    “…Handling large graphs in a distributed environment requires effective partitioning across processors and efficient management of local partitions…”
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    Dissecting the Software-Based Measurement of CPU Energy Consumption: A Comparative Analysis Autor Raffin, Guillaume, Trystram, Denis

    ISSN: 1045-9219, 1558-2183
    Vydáno: IEEE 01.01.2025
    “… (and more) without the need for additional hardware. Since 2017, it is available on most x86 processors, including AMD processors…”
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    Cloud Colonography: Distributed Medical Testbed over Cloud Autor Motai, Yuichi, Henderson, Eric, Siddique, Nahian Alam, Yoshida, Hiroyuki

    ISSN: 2168-7161, 2372-0018
    Vydáno: Piscataway IEEE Computer Society 01.04.2020
    Vydáno v IEEE transactions on cloud computing (01.04.2020)
    “… The proposed AMD has the potential to play a role of the core classifier in the cloud computing framework…”
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    Integer Sum Reduction with OpenMP on an AMD MI100 GPU Autor Jin, Zheming, Vetter, Jeffrey S.

    ISBN: 9781665497480
    Vydáno: IEEE 01.05.2022
    “…Sum reduction is a primitive operation in parallel computing. Device offload support allows a user to use OpenMP directives to take advantage of a highly capable GPU…”
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    A Fine-grained Prefetching Scheme for DGEMM Kernels on GPU with Auto-tuning Compatibility Autor Li, Jialin, Ye, Huang, Tian, Shaobo, Li, Xinyuan, Zhang, Jian

    ISSN: 1530-2075
    Vydáno: IEEE 01.05.2022
    “…General Matrix Multiplication (GEMM) is one of the fundamental kernels for scientific and high-performance computing…”
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    Exploiting Memory Access Patterns to Improve Memory Performance in Data-Parallel Architectures Autor Byunghyun Jang, Schaa, Dana, Mistry, Perhaad, Kaeli, David

    ISSN: 1045-9219, 1558-2183
    Vydáno: New York IEEE 01.01.2011
    “…The introduction of General-Purpose computation on GPUs (GPGPUs) has changed the landscape for the future of parallel computing…”
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    Parallel breadth-first search on distributed memory systems Autor Buluç, Aydin, Madduri, Kamesh

    ISBN: 145030771X, 9781450307710
    ISSN: 2167-4329
    Vydáno: New York, NY, USA ACM 12.11.2011
    “…Data-intensive, graph-based computations are pervasive in several scientific applications, and are known to to be quite challenging to implement on distributed memory systems…”
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    Multi-BSP vs. BSP: A Case of Study for Dell AMD Multicores Autor Trabes, Guillermo, Gil-Costa, Veronica, Printista, Marcela, Marin, Mauricio

    ISSN: 2377-5750
    Vydáno: IEEE 01.03.2018
    “… The Bulk-Synchronous Parallel (BSP) is a well-known computing model originally devised for distributed algorithms running on clusters of single-core processors…”
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