collaborators

5 papers

cs.AR2026

Strix: Re-thinking NPU Reliability from a System Perspective

Jiapeng Guan, Jie Zhang, Hao Zhou +8

DNNs and LLMs increasingly rely on hardware accelerators, including in safety-critical domains, while technology scaling and growing model complexity make hardware faults more freq…

cs.AR2025

ISAAC: Intelligent, Scalable, Agile, and Accelerated CPU Verification via LLM-aided FPGA Parallelism

Jialin Sun, Yuchen Hu, Dean You +6

Functional verification is a critical bottleneck in integrated circuit development, with CPU verification being especially time-intensive and labour-consuming. Industrial practice…

cs.AR2025

MERE: Hardware-Software Co-Design for Masking Cache Miss Latency in Embedded Processors

Dean You, Jieyu Jiang, Xiaoxuan Wang +9

Runahead execution is a technique to mask memory latency caused by irregular memory accesses. By pre-executing the application code during occurrences of long-latency operations an…

cs.AR2025

MEEK: Re-thinking Heterogeneous Parallel Error Detection Architecture for Real-World OoO Superscalar Processors

Zhe Jiang, Minli Liao, Sam Ainsworth +2

Heterogeneous parallel error detection is an approach to achieving fault-tolerant processors, leveraging multiple power-efficient cores to re-execute software originally run on a h…

cs.AR2025

NVR: Vector Runahead on NPUs for Sparse Memory Access

Hui Wang, Zhengpeng Zhao, Jing Wang +11

Deep Neural Networks are increasingly leveraging sparsity to reduce the scaling up of model parameter size. However, reducing wall-clock time through sparsity and pruning remains c…