Coherence-Aided Memory Bandwidth Regulation

With the increasing adoption of PS-PL (Processor System-Programmable Logic) platforms, also known as CPU+FPGA systems, there arises a need for efficient resource management strategies. This work explores memory bandwidth regulation in such systems, leveraging the capabilities of tightly coupled FPGAs to offer elegant, low-overhead solutions with highly flexible regulation policies. We introduce MemCoRe, a novel approach that exploits the FPGA’s interaction with cache coherence interfaces and cross-trigger signals to achieve finegrained spatiotemporal awareness of processor activity and software-free control. By comparing MemCoRe with state-of-theart software-based approaches, namely MemGuard and MemPol, we demonstrate significant improvements in regulation precision and overhead reduction. Key contributions include nanosecondscale memory bandwidth regulation, off-core memory bandwidth accounting, address-aware regulation, low-overhead token-bucket regulation, and asymmetric on-off core throttling. Our evaluation on a Xilinx Zynq UltraScale+ ZCU102 CPU+FPGA platform showcases MemCoRe’s capability to regulate memory bandwidth with nanosecond-scale precision. Overall, MemCoRe presents a promising avenue for efficient memory bandwidth regulation in PS-PL platforms, with strong applicability to real-time systems.

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Publication Details

Published
2024-12-10
DOI
https://doi.org/10.1109/rtss62706.2024.00035
Citations
2
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.42

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article

Coherence-Aided Memory Bandwidth Regulation

Alexander Zuepke, Renato Mancuso, Weifan Chen, Marco Caccamo et al.
2 citations
Advanced Memory and Neural Computing
0.42
article

Coherence-Aided Memory Bandwidth Regulation

Alexander Zuepke, Renato Mancuso, Weifan Chen, Marco Caccamo, Youssef Hammad, Denis Hoornaert, Ivan Izhbirdeev
article en
2 citations

Abstract

With the increasing adoption of PS-PL (Processor System-Programmable Logic) platforms, also known as CPU+FPGA systems, there arises a need for efficient resource management strategies. This work explores memory bandwidth regulation in such systems, leveraging the capabilities of tightly coupled FPGAs to offer elegant, low-overhead solutions with highly flexible regulation policies. We introduce MemCoRe, a novel approach that exploits the FPGA’s interaction with cache coherence interfaces and cross-trigger signals to achieve finegrained spatiotemporal awareness of processor activity and software-free control. By comparing MemCoRe with state-of-theart software-based approaches, namely MemGuard and MemPol, we demonstrate significant improvements in regulation precision and overhead reduction. Key contributions include nanosecondscale memory bandwidth regulation, off-core memory bandwidth accounting, address-aware regulation, low-overhead token-bucket regulation, and asymmetric on-off core throttling. Our evaluation on a Xilinx Zynq UltraScale+ ZCU102 CPU+FPGA platform showcases MemCoRe’s capability to regulate memory bandwidth with nanosecond-scale precision. Overall, MemCoRe presents a promising avenue for efficient memory bandwidth regulation in PS-PL platforms, with strong applicability to real-time systems.

Boston University (US), Technical University of Munich (DE)
National Science Foundation, Ministry of Education
Openalex Percentile: Top 35%
Advanced Memory and Neural Computing
0.42
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