Modeling Gather and Scatter with Hardware Performance Counters for Xeon Phi. - James Lin 001; Akira Nukada; Satoshi Matsuoka (CCGRID, 2015)

Understanding Performance Portability of OpenACC for Supercomputers. - Suttinee Sawadsitang; James Lin 001; Simon See; François Bodin; Satoshi Matsuoka (IPDPS Workshops, 2015)

Performance and Portability Studies with OpenACC Accelerated Version of GTC-P. - Yueming Wei; Yichao Wang 001; Linjin Cai; William M. Tang; Bei Wang 002; Stéphane Ethier; Simon See; James Lin 001 (PDCAT, 2016)

Optimizations of Two Compute-Bound Scientific Kernels on the SW26010 Many-Core Processor. - James Lin 001; Zhigeng Xu; Akira Nukada; Naoya Maruyama; Satoshi Matsuoka (ICPP, 2017)

Benchmarking SW26010 Many-Core Processor. - Zhigeng Xu; James Lin 001; Satoshi Matsuoka (IPDPS Workshops, 2017)

神威太湖之光上OpenFOAM的移植与优化 (Porting and Optimizing OpenFOAM on Sunway TaihuLight System). - Delong Meng; Minhua Wen; Jianwen Wei; James Lin 001 (计算机科学, 2017)

异构集群上的宏基因组聚类优化 (Accelerating Gene Clustering on Heterogeneous Clusters). - Jianwen Wei; Zhigeng Xu; Bingqiang Wang; Simon See; James Lin 001 (计算机科学, 2017)

Optimizing Preconditioned Conjugate Gradient on TaihuLight for OpenFOAM. - James Lin 001; Minhua Wen; Delong Meng; Xin Liu 020; Akira Nukada; Satoshi Matsuoka (CCGrid, 2018)

OpenACC vs the Native Programming on Sunway TaihuLight: A Case Study with GTC-P. - Linjin Cai; Yichao Wang 001; William M. Tang; Bei Wang 002; Stéphane Ethier; Zhao Liu; James Lin 001 (CLUSTER, 2018)

Optimizing a particle-in-cell code on Intel knights landing. - Minhua Wen; Min Chen; James Lin 001 (HPC Asia Workshops, 2018)

Optimizing Deep Learning Frameworks Incrementally to Get Linear Speedup: A Comparison Between IPoIB and RDMA Verbs. - Chang Liu; Jianwen Wei; Yichao Wang 001; Minhua Wen; Simon See; James Lin 001 (ICPADS, 2018)

Evaluating the SW26010 many-core processor with a micro-benchmark suite for performance optimizations. - James Lin 001; Zhigeng Xu; Linjin Cai; Akira Nukada; Satoshi Matsuoka (Parallel Comput., 2018)

An Empirical Study of HPC Workloads on Huawei Kunpeng 916 Processor. - Yichao Wang 001; Jin-Kun Chen; Bin-Rui Li; Sicheng Zuo; William Tang 002; Bei Wang 002; Qiucheng Liao; Rui Xie; James Lin 001 (ICPADS, 2019)

CUBE - Towards an Optimal Scaling of Cosmological N-body Simulations. - Shenggan Cheng; Hao-Ran Yu; Derek Inman; Qiucheng Liao; Qiaoya Wu; James Lin 001 (CCGRID, 2020)

NeoMPX: Characterizing and Improving Estimation of Multiplexing Hardware Counters for PAPI. - Yichao Wang 001; Jie Wang; Jin-Kun Chen; Sicheng Zuo; Xiaoming Su; James Lin 001 (CLUSTER, 2020)

FTL: A Universal Framework for Training Low-Bit DNNs via Feature Transfer. - Kunyuan Du; Ya Zhang 002; Haibing Guan; Qi Tian 001; Yanfeng Wang 001; Shenggan Cheng; James Lin 001 (ECCV (25), 2020)

tcFFT: A Fast Half-Precision FFT Library for NVIDIA Tensor Cores. - Bin-Rui Li; Shenggan Cheng; James Lin 001 (CLUSTER, 2021)

tcFFT: Accelerating Half-Precision FFT through Tensor Cores. - Bin-Rui Li; Shenggan Cheng; James Lin 001 (CoRR, 2021)

ParaFold: Paralleling AlphaFold for Large-Scale Predictions. - Bozitao Zhong; Xiaoming Su; Minhua Wen; Sicheng Zuo; Liang Hong; James Lin 001 (HPC Asia Workshops, 2022)

SchedP: I/O-aware Job Scheduling in Large-Scale Production HPC Systems. - Kaiyue Wu; Jianwen Wei; James Lin 001 (NPC, 2022)

A load-decoupling parallel strategy based on shared memory architecture for DSMC to simulate near-continuum gases. - Chenchen Zhang; MinHua Wen; Bin Zhang; James Lin 001; Hong Liu (Comput. Phys. Commun., 2022)

Characterizing Performance Impacts of Subnormal Numbers on Vector Instructions and Transcendental Functions. - Xudong Wang; James Lin 001; Qiucheng Liao (ICPADS, 2023)

OpenXGR: a web-server update for genomic summary data interpretation. - Chaohui Bao; Shan Wang; Lulu Jiang; Zhongcheng Fang; Kexin Zou; James Lin 001; Saijuan Chen; Hai Fang (Nucleic Acids Res., 2023)

TacVar: Tackling Variability in Short-Interval Timing Measurements on X86 Processors. - Qiucheng Liao; James Lin 001 (CCGrid, 2024)

Welcome Message from the IEEE Cluster 2024 General Co-Chairs. - Satoshi Matsuoka; James Lin 001 (CLUSTER Workshops, 2024)

Design and Operation of Elastic GPU-Pooling on Campus. - Kaicheng Guo; Jingyi Chen; Yun Wang 039; Semakin Anton; Tovmachenko Dmitry; Jiajie Sheng; Jianwen Wei; James Lin 001; Zhengwei Qi; Haibing Guan (Euro-Par (1), 2025)

ThinkTrap: Denial-of-Service Attacks against Black-box LLM Services via Infinite Thinking. - Yunzhe Li 001; Jianan Wang; Hongzi Zhu; James Lin 001; Shan Chang; Minyi Guo (NDSS, 2026)