Nimblock: scheduling for fine-grained FPGA sharing through virtualization
Reckamp, Paul
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https://hdl.handle.net/2142/115575
Description
Title
Nimblock: scheduling for fine-grained FPGA sharing through virtualization
Author(s)
Reckamp, Paul
Issue Date
2022-04-25
Director of Research (if dissertation) or Advisor (if thesis)
Chen, Deming
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
FPGA
Virtualization
Scheduling
Language
eng
Abstract
As FPGAs become ubiquitous compute platforms, existing research has focused on enabling virtualization features to facilitate fine-grained FPGA sharing. We employ an overlay architecture which enables arbitrary, independent user logic to share portions of a single FPGA by dividing the FPGA into independently reconfigurable slots. We then explore scheduling possibilities to effectively time-multiplex and space-multiplex the virtualized FPGA by introducing Nimblock. The Nimblock scheduling algorithm balances application priorities and performance degradation to improve response time and reduce deadline violations. Unlike other algorithms, Nimblock explores preemption as a scheduling parameter to dynamically change resource allocations. In our exploration, we evaluate five scheduling algorithms: a baseline, three existing algorithms, and our novel Nimblock algorithm. We demonstrate system feasibility by realizing the complete system on a Xilinx ZCU106 FPGA and evaluating on a set of real-world benchmarks. In our results, we achieve up to 9× lower median response times when compared to the baseline scheduling algorithms. We additionally demonstrate up to 21% fewer deadline violations and up to 2.1× lower tail response times when compared to other high-performance algorithms.
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