Tianwei Pan

dblp:407/8404 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2025
0009-0001-6633-4076ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Hardware accelerators and domain-specific architectures · 50% Electronic design automation · 50%
Network and information security
1 paper
Cryptographic primitives and cryptanalysis · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Hardware accelerators and domain-specific architectures
cryptographic accelerator
0.912025
Finesse: An Agile Design Framework for Pairing-based Cryptography via Software/Hardware Co-Design · ISCA 2025
Electronic design automation
hardware/software co-design
0.912025
Finesse: An Agile Design Framework for Pairing-based Cryptography via Software/Hardware Co-Design · ISCA 2025
Cryptographic primitives and cryptanalysis
pairing-based cryptography
0.312025
Finesse: An Agile Design Framework for Pairing-based Cryptography via Software/Hardware Co-Design · ISCA 2025
YearPublicationVenuePosition
2025 Finesse: An Agile Design Framework for Pairing-based Cryptography via Software/Hardware Co-Design
abstract
Pairing-based cryptography (PBC) is crucial in modern cryptographic applications.With the rapid advancement of adversarial research and the growing diversity of application requirements, PBC accelerators need regular updates in algorithms, parameter configurations, and hardware design.However, traditional design methodologies face significant challenges, including prolonged design cycles, difficulties in balancing performance and flexibility, and insufficient support for potential architectural exploration.To address these challenges, we introduce Finesse, an agile design framework based on co-design methodology.Finesse leverages a co-optimization cycle driven by a specialized compiler and a multi-granularity hardware simulator, enabling both optimized performance metrics and effective design space exploration.Furthermore, Finesse adopts a modular design flow to significantly shorten design cycles, while its versatile abstraction ensures flexibility across various curve families and hardware architectures.Finesse offers flexibility, efficiency, and rapid prototyping, comparing with previous frameworks.With compilation times reduced to minutes, Finesse enables faster iteration cycles and streamlined hardware-software co-design.Experiments on popular curves * Both authors contributed equally to this research.
Tianwei Pan, Tianao Dai, Jianlei Yang 0001, Hongbin Jing, Zeyu Hao, Xiaotao Jia, Chunming Hu, Weisheng Zhao 0001
ISCA1