Abstract
FPGA has demonstrated promising performance in high throughput data sorting. Data compression techniques are adopted to exploit the redundant information between subsequent values in a sorted dataset. However, the standalone FPGA design inhibits the scalability to handle the growing dataset. Moreover, previous data compression techniques in data sorting lack versatility to support various ranges of data. This paper proposes the design of a distributed sorting accelerator on multiple FPGAs and introduce a Configurable Compressed Array to handle the various data widths. The experimental results have shown that the proposed design attains 3.69x enhancement when compared to the previous design.
Original language | English |
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Title of host publication | 2022 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2022 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781665409216 |
DOIs | |
State | Published - 2022 |
Event | 2022 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2022 - Hsinchu, Taiwan Duration: 18 Apr 2022 → 21 Apr 2022 |
Publication series
Name | 2022 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2022 - Proceedings |
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Conference
Conference | 2022 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2022 |
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Country/Territory | Taiwan |
City | Hsinchu |
Period | 18/04/22 → 21/04/22 |
Keywords
- big data
- compression technique
- distributed computing architecture
- FPGA
- sort