Compact Message Permutation for a Fully Pipelined BLAKE-256/512 Accelerator Article Swipe
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/access.2022.3181410
Developing a low-cost and high-performance BLAKE accelerator has recently become an attractive research trend because the BLAKE algorithm is important in widespread applications, such as cryptocurrencies, data security, and digital signatures. Unfortunately, the existing BLAKE circuits are limited in performance and hardware efficiency. Therefore, this paper introduces the first fully pipelined BLAKE-256/512 accelerator to improve throughput and hardware efficiency. Moreover, based on the rates of changed words in consecutive message inputs, a compact message permutation scheme is proposed to reduce the area and energy consumption of the fully pipelined BLAKE-256/512 accelerator. To achieve these goals, the compact message permutation scheme includes two novel optimization techniques: register optimization, reducing the number of registers used by over 80% compared to conventional message permutation in a theoretical evaluation, and XOR optimization, decreasing the number of XOR gates by 93.8%. An ASIC-based experiment shows that the proposed compact message permutation scheme helps reduce the area and power consumption by up to 11.35% and 21.10%, respectively, for the fully pipelined BLAKE-256 accelerator and by up to 9.86% and 20.32%, respectively, for the fully pipelined BLAKE-512 accelerator. The correctness of the compact message permutation scheme is verified on a real hardware platform (an Alveo U280 FPGA).
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2022.3181410
- OA Status
- gold
- Cited By
- 8
- References
- 35
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4285179248
Raw OpenAlex JSON
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https://openalex.org/W4285179248Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/access.2022.3181410Digital Object Identifier
- Title
-
Compact Message Permutation for a Fully Pipelined BLAKE-256/512 AcceleratorWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
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2022-01-01Full publication date if available
- Authors
-
Hoai Luan Pham, Thi Hong Tran, Vu Trung Duong Le, Yasuhiko NakashimaList of authors in order
- Landing page
-
https://doi.org/10.1109/access.2022.3181410Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1109/access.2022.3181410Direct OA link when available
- Concepts
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Computer science, Field-programmable gate array, Permutation (music), Application-specific integrated circuit, Correctness, Parallel computing, Hardware acceleration, Loop unrolling, Speedup, Computer hardware, Algorithm, Compiler, Physics, Programming language, AcousticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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8Total citation count in OpenAlex
- Citations by year (recent)
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2024: 2, 2023: 6Per-year citation counts (last 5 years)
- References (count)
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35Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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