SuperCore: An Ultra-Fast Superconducting Processor for Cryogenic Applications

Superconductor single-flux-quantum (SFQ) logic family has been recognized as a promising technology for cryogenic applications (e.g., quantum computing, astronomy, metrology) thanks to its ultra-fast and low-energy characteristics. Therefore, recent efforts in SFQ-based computing have focused on developing fast and low-power SFQ processors for cryogenic applications. However, there still has been little progress toward a convincing SFQ processor design due to the critical performance challenges originating from its extremely deep pipeline. In this paper, we propose a super-fast and low-power in-order SFQ processor by tackling the challenges from the deep pipeline. First, we develop a minimal-depth SFQ processor pipeline with novel architecture-level ideas. Next, we conduct in-depth performance analyses and identify three real performance bottlenecks in the deeply pipelined SFQ processors (i.e., stall/flush logic, RAW stall, fetch unit). Finally, we propose SuperCore, our super-fast SFQ-based processor architecture, with three SFQ-friendly solutions that effectively resolve the identified bottlenecks. With our solutions applied, SuperCore achieves 11 times speed-up over the SFQ processor baseline. In addition, SuperCore achieves six times speed-up and consumes up to 193 times less power compared to in-order CMOS processors running at 4K.

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Publication Details

Published
2024-11-02
DOI
https://doi.org/10.1109/micro61859.2024.00112
Citations
6
Primary Topic
Superconducting Materials and Applications
Type
article
Field-Weighted Citation Impact
1.11
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article

SuperCore: An Ultra-Fast Superconducting Processor for Cryogenic Applications

Hyeonseong Jeong, Dongmoon Min, Masamitsu Tanaka, Junhyuk Choi et al.
6 citations
Superconducting Materials and Applications
1.11
article

SuperCore: An Ultra-Fast Superconducting Processor for Cryogenic Applications

Hyeonseong Jeong, Dongmoon Min, Masamitsu Tanaka, Junhyuk Choi, Junpyo Kim, Ilkwon Byun, Juwon Hong, Jungmin Cho, Koji Inoue, Jangwoo Kim
article en
6 citations

Abstract

Superconductor single-flux-quantum (SFQ) logic family has been recognized as a promising technology for cryogenic applications (e.g., quantum computing, astronomy, metrology) thanks to its ultra-fast and low-energy characteristics. Therefore, recent efforts in SFQ-based computing have focused on developing fast and low-power SFQ processors for cryogenic applications. However, there still has been little progress toward a convincing SFQ processor design due to the critical performance challenges originating from its extremely deep pipeline. In this paper, we propose a super-fast and low-power in-order SFQ processor by tackling the challenges from the deep pipeline. First, we develop a minimal-depth SFQ processor pipeline with novel architecture-level ideas. Next, we conduct in-depth performance analyses and identify three real performance bottlenecks in the deeply pipelined SFQ processors (i.e., stall/flush logic, RAW stall, fetch unit). Finally, we propose SuperCore, our super-fast SFQ-based processor architecture, with three SFQ-friendly solutions that effectively resolve the identified bottlenecks. With our solutions applied, SuperCore achieves 11 times speed-up over the SFQ processor baseline. In addition, SuperCore achieves six times speed-up and consumes up to 193 times less power compared to in-order CMOS processors running at 4K.

Kyushu University (JP), Seoul National University (KR), Nagoya University (JP)
Openalex Percentile: Top 24%
Superconducting Materials and Applications
1.11
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