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Integration of FPGAs in Database Management Systems
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由 A Becher 著作2018被引用 34 次 — The study of related work clearly shows that an integra- tion of FPGAs into a DBMS is challenging, ranging from general challenges of heterogeneous systems ( ...
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Integration of FPGAs in Database Management Systems
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由 A Becher 著作2018被引用 34 次 — This article discusses the benefits and challenges of using FPGAs for online analytical processing (OLAP).
Integration of FPGAs in Database Management Systems
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FPGAs offer hardware reconfiguration to enable query-specific pipelined and parallel data processing with the potential of maximizing throughput, speedup as ...
Integration of FPGAs in Database Management Systems
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Integration of FPGAs in Database Management Systems: Challenges and Opportunities. September 2018; Datenbank-Spektrum 18(5). DOI:10.1007/s13222-018-0294-9.
Integration of FPGAs in Database Management Systems
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FPGAs offer hardware reconfiguration to enable query-specific pipelined and parallel data processing with the potential of maximizing throughput, speedup as ...
Integration of FPGAs in Database Management Systems
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This work postulates that the challenge of dynamically configuring hardware accelerators to match a given OLAP query can only be met in a scalable fashion ...
Integration of FPGAs in Database Management Systems
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Becher, Andreas, et al. "Integration of FPGAs in Database Management Systems: Challenges and Opportunities." Datenbank-Spektrum (2018). BibTeX: Download.
Integration of FPGAs in Database Management Systems
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FPGAs offer hardware reconfiguration to enable query-specific pipelined and parallel data processing with the potential of maximizing throughput, speedup as ...
Integrating FPGA-based hardware acceleration with ...
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由 K Liu 著作2024被引用 2 次 — Additionally, there are significant challenges related to optimizing FPGA-based acceleration for specific database workloads, ensuring data consistency and ...
Bala Gurumurthy
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Integration of FPGAs in database management systems: challenges and opportunities · Automated vertical partitioning with deep reinforcement learning · SIMD ...
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