29 citations · 56 across the 11 of their papers we have counts for
11 papers
Finesse: An Agile Design Framework for Pairing-based Cryptography via Software/Hardware Co-Design
Tianwei Pan, Tianao Dai, Jianlei Yang +6
Pairing-based cryptography (PBC) is crucial in modern cryptographic applications. With the rapid advancement of adversarial research and the growing diversity of application requir…
Efficient SRAM-PIM Co-design by Joint Exploration of Value-Level and Bit-Level Sparsity
Cenlin Duan, Jianlei Yang, Yikun Wang +7
Processing-in-memory (PIM) is a transformative architectural paradigm designed to overcome the Von Neumann bottleneck. Among PIM architectures, digital SRAM-PIM emerges as a promis…
Towards Efficient SRAM-PIM Architecture Design by Exploiting Unstructured Bit-Level Sparsity
Cenlin Duan, Jianlei Yang, Yiou Wang +7
Bit-level sparsity in neural network models harbors immense untapped potential. Eliminating redundant calculations of randomly distributed zero-bits significantly boosts computatio…
DDC-PIM: Efficient Algorithm/Architecture Co-design for Doubling Data Capacity of SRAM-based Processing-In-Memory
Cenlin Duan, Jianlei Yang, Xiaolin He +9
Processing-in-memory (PIM), as a novel computing paradigm, provides significant performance benefits from the aspect of effective data movement reduction. SRAM-based PIM has been d…
NAND-SPIN-Based Processing-in-MRAM Architecture for Convolutional Neural Network Acceleration
Yinglin Zhao, Jianlei Yang, Bing Li +7
The performance and efficiency of running large-scale datasets on traditional computing systems exhibit critical bottlenecks due to the existing "power wall" and "memory wall" prob…
Triangle Counting Accelerations: From Algorithm to In-Memory Computing Architecture
Xueyan Wang, Jianlei Yang, Yinglin Zhao +5
Triangles are the basic substructure of networks and triangle counting (TC) has been a fundamental graph computing problem in numerous fields such as social network analysis. Never…
TCIM: Triangle Counting Acceleration With Processing-In-MRAM Architecture
Xueyan Wang, Jianlei Yang, Yinglin Zhao +7
Triangle counting (TC) is a fundamental problem in graph analysis and has found numerous applications, which motivates many TC acceleration solutions in the traditional computing p…
Hardware Security in Spin-Based Computing-In-Memory: Analysis, Exploits, and Mitigation Techniques
Xueyan Wang, Jianlei Yang, Yinglin Zhao +3
Computing-in-memory (CIM) is proposed to alleviate the processor-memory data transfer bottleneck in traditional Von-Neumann architectures, and spintronics-based magnetic memory has…
Efficient Computation Reduction in Bayesian Neural Networks Through Feature Decomposition and Memorization
Xiaotao Jia, Jianlei Yang, Runze Liu +3
Bayesian method is capable of capturing real world uncertainties/incompleteness and properly addressing the over-fitting issue faced by deep neural networks. In recent years, Bayes…
SPINBIS: Spintronics based Bayesian Inference System with Stochastic Computing
Xiaotao Jia, Jianlei Yang, Pengcheng Dai +3
Bayesian inference is an effective approach for solving statistical learning problems, especially with uncertainty and incompleteness. However, Bayesian inference is a computing-in…
Spintronics based Stochastic Computing for Efficient Bayesian Inference System
Xiaotao Jia, Jianlei Yang, Zhaohao Wang +4
Bayesian inference is an effective approach for solving statistical learning problems especially with uncertainty and incompleteness. However, inference efficiencies are physically…