CTFE: A High-Efficient Heterogeneous Cryptographic CGRA for Diverse Security Applications

Nowadays, cryptographic computation across various security applications necessitates the development of hardware that is not only fast and power-efficient but also flexible enough to support a range of cryptographic algorithms. Unfortunately, existing computing platforms for cryptography struggle to balance high flexibility, high performance, and low power consumption. To address these issues, this article introduces the crypto-tailored flexible engine (CTFE), a next-generation coarse-grained reconfigurable array (CGRA) for cryptography. Concretely, the CTFE incorporates four innovative ideas to achieve high flexibility and performance with high hardware efficiency: 1) processing element array (PEA) with dual-buffer lanes and multiplexer optimization; 2) high flexibility Hyper-ALU; 3) heterogeneous PEA; and 4) bi-tiered pipeline coordination. Real-time evaluation results on Xilinx ZCU102 FPGA at the System-on-Chip (SoC) level demonstrate that the CTFE is 1.13–14.3 times better in throughput and 55.3–14 232 times better in energy efficiency than state-of-the-art CPUs. Experiments on an ASIC 45 nm CMOS technology show that the CTFE consumes the power of 1.06 W, occupies an area of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$2.77 \; \text {mm}^{{2}}$ </tex-math></inline-formula>, and operates at the frequency of 510 MHz. In comparison to existing CGRA solutions, CTFE outperforms 1.63–20.23 times in throughput and 1.61–73.2 times in area efficiency.

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Publication Details

Journal
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Published
2024-11-04
DOI
https://doi.org/10.1109/tcad.2024.3490176
Citations
5
Primary Topic
Coding theory and cryptography
Type
article
Field-Weighted Citation Impact
1.74
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article

CTFE: A High-Efficient Heterogeneous Cryptographic CGRA for Diverse Security Applications

Vu Tuan Hai, Hoai Luan Pham, Thi Hong Tran, Yasuhiko Nakashima et al.
5 citations
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Coding theory and cryptography
1.74
article

CTFE: A High-Efficient Heterogeneous Cryptographic CGRA for Diverse Security Applications

Vu Tuan Hai, Hoai Luan Pham, Thi Hong Tran, Yasuhiko Nakashima, Vu Trung Duong Le, Van Duy Tran
article en
5 citations

Abstract

Nowadays, cryptographic computation across various security applications necessitates the development of hardware that is not only fast and power-efficient but also flexible enough to support a range of cryptographic algorithms. Unfortunately, existing computing platforms for cryptography struggle to balance high flexibility, high performance, and low power consumption. To address these issues, this article introduces the crypto-tailored flexible engine (CTFE), a next-generation coarse-grained reconfigurable array (CGRA) for cryptography. Concretely, the CTFE incorporates four innovative ideas to achieve high flexibility and performance with high hardware efficiency: 1) processing element array (PEA) with dual-buffer lanes and multiplexer optimization; 2) high flexibility Hyper-ALU; 3) heterogeneous PEA; and 4) bi-tiered pipeline coordination. Real-time evaluation results on Xilinx ZCU102 FPGA at the System-on-Chip (SoC) level demonstrate that the CTFE is 1.13–14.3 times better in throughput and 55.3–14 232 times better in energy efficiency than state-of-the-art CPUs. Experiments on an ASIC 45 nm CMOS technology show that the CTFE consumes the power of 1.06 W, occupies an area of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$2.77 \; \text {mm}^{{2}}$ </tex-math></inline-formula>, and operates at the frequency of 510 MHz. In comparison to existing CGRA solutions, CTFE outperforms 1.63–20.23 times in throughput and 1.61–73.2 times in area efficiency.

IEEE Transactions on Computer-Aided Design of Integrated Circuits and SystemsVol. 44(5)
Osaka Metropolitan University (JP), Tokyo Metropolitan University (JP), Nara Institute of Science and Technology (JP)
Openalex Percentile: Top 13%
Coding theory and cryptography
1.74
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