A Survey on FPGA-Based Heterogeneous Clusters Architectures
In recent years, the most powerful supercomputers have already reached megawatt power consumption levels, an important issue that challenges sustainability and shows the impossibility of maintaining this trend. To this date, the prevalent approach to supercomputing is dominated by CPUs and GPUs. Giv...
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| Format: | Article |
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IEEE
2023-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10158531/ |
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| author | Werner Florian Samayoa Maria Liz Crespo Andres Cicuttin Sergio Carrato |
| author_facet | Werner Florian Samayoa Maria Liz Crespo Andres Cicuttin Sergio Carrato |
| author_sort | Werner Florian Samayoa |
| collection | DOAJ |
| description | In recent years, the most powerful supercomputers have already reached megawatt power consumption levels, an important issue that challenges sustainability and shows the impossibility of maintaining this trend. To this date, the prevalent approach to supercomputing is dominated by CPUs and GPUs. Given their fixed architectures with generic instruction sets, they have been favored with lots of tools and mature workflows which led to mass adoption and further growth. However, reconfigurable hardware such as FPGAs has repeatedly proven that it offers substantial advantages over this supercomputing approach concerning performance and power consumption. In this survey, we review the most relevant works that advanced the field of heterogeneous supercomputing using FPGAs focusing on their architectural characteristics. Each work was divided into three main parts: network, hardware, and software tools. All implementations face challenges that involve all three parts. These dependencies result in compromises that designers must take into account. The advantages and limitations of each approach are discussed and compared in detail. The classification and study of the architectures illustrate the trade-offs of the solutions and help identify open problems and research lines. |
| format | Article |
| id | doaj-art-0acc050fd85a4163925c8709c60a4c52 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-0acc050fd85a4163925c8709c60a4c522024-12-11T00:01:26ZengIEEEIEEE Access2169-35362023-01-0111676796770610.1109/ACCESS.2023.328843110158531A Survey on FPGA-Based Heterogeneous Clusters ArchitecturesWerner Florian Samayoa0https://orcid.org/0000-0002-2951-3059Maria Liz Crespo1https://orcid.org/0000-0002-5483-3388Andres Cicuttin2https://orcid.org/0000-0002-3645-9791Sergio Carrato3https://orcid.org/0000-0003-2953-8886Multidisciplinary Laboratory (MLab), The Abdus Salam International Centre for Theoretical Physics, Trieste, ItalyMultidisciplinary Laboratory (MLab), The Abdus Salam International Centre for Theoretical Physics, Trieste, ItalyMultidisciplinary Laboratory (MLab), The Abdus Salam International Centre for Theoretical Physics, Trieste, ItalyDipartimento di Ingegneria e Architettura (DIA), Universitã degli Studi di Trieste, Trieste, ItalyIn recent years, the most powerful supercomputers have already reached megawatt power consumption levels, an important issue that challenges sustainability and shows the impossibility of maintaining this trend. To this date, the prevalent approach to supercomputing is dominated by CPUs and GPUs. Given their fixed architectures with generic instruction sets, they have been favored with lots of tools and mature workflows which led to mass adoption and further growth. However, reconfigurable hardware such as FPGAs has repeatedly proven that it offers substantial advantages over this supercomputing approach concerning performance and power consumption. In this survey, we review the most relevant works that advanced the field of heterogeneous supercomputing using FPGAs focusing on their architectural characteristics. Each work was divided into three main parts: network, hardware, and software tools. All implementations face challenges that involve all three parts. These dependencies result in compromises that designers must take into account. The advantages and limitations of each approach are discussed and compared in detail. The classification and study of the architectures illustrate the trade-offs of the solutions and help identify open problems and research lines.https://ieeexplore.ieee.org/document/10158531/FPGASoCheterogeneous computingsupercomputingreconfigurable computing |
| spellingShingle | Werner Florian Samayoa Maria Liz Crespo Andres Cicuttin Sergio Carrato A Survey on FPGA-Based Heterogeneous Clusters Architectures IEEE Access FPGA SoC heterogeneous computing supercomputing reconfigurable computing |
| title | A Survey on FPGA-Based Heterogeneous Clusters Architectures |
| title_full | A Survey on FPGA-Based Heterogeneous Clusters Architectures |
| title_fullStr | A Survey on FPGA-Based Heterogeneous Clusters Architectures |
| title_full_unstemmed | A Survey on FPGA-Based Heterogeneous Clusters Architectures |
| title_short | A Survey on FPGA-Based Heterogeneous Clusters Architectures |
| title_sort | survey on fpga based heterogeneous clusters architectures |
| topic | FPGA SoC heterogeneous computing supercomputing reconfigurable computing |
| url | https://ieeexplore.ieee.org/document/10158531/ |
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