Active harmony: towards automated performance tuning. - Cristian Tapus; I-Hsin Chung; Jeffrey K. Hollingsworth (SC, 2002)

Design of Scalable Continuous Media Servers. - Cheng-Fu Chou; Leana Golubchik; John C. S. Lui; I-Hsin Chung (Multim. Tools Appl., 2002)

Runtime Selection among Different API Implementations. - I-Hsin Chung; Jeffrey K. Hollingsworth (Parallel Process. Lett., 2003)

Automated Cluster-Based Web Service Performance Tuning. - I-Hsin Chung; Jeffrey K. Hollingsworth (HPDC, 2004)

Using Information from Prior Runs to Improve Automated Tuning Systems. - I-Hsin Chung; Jeffrey K. Hollingsworth (SC, 2004)

Towards Automatic Performance Tuning. - I-Hsin Chung (2004)

A Case Study Using Automatic Performance Tuning for Large-Scale Scientific Programs. - I-Hsin Chung; Jeffrey K. Hollingsworth (HPDC, 2006)

A study of MPI performance analysis tools on Blue Gene/L. - I-Hsin Chung; Robert Walkup; Hui-Fang Wen; Hao Yu 008 (IPDPS, 2006)

MPI tools and performance studies - MPI performance analysis tools on Blue Gene/L. - I-Hsin Chung; Robert Walkup; Hui-Fang Wen; Hao Yu 008 (SC, 2006)

Blue Gene system software - Topology mapping for Blue Gene/L supercomputer. - Hao Yu 008; I-Hsin Chung; José E. Moreira (SC, 2006)

Performance Studies of a WebSphere Application, Trade, in Scale-out and Scale-up Environments. - Hao Yu 008; José E. Moreira; Parijat Dube; I-Hsin Chung; Li Zhang 002 (IPDPS, 2007)

A Productivity Centered Tools Framework for Application Performance Tuning. - Hui-Fang Wen; Simone Sbaraglia; Seetharami R. Seelam; I-Hsin Chung; Guojing Cong; David J. Klepacki (QEST, 2007)

A productivity centered application performance tuning framework. - Simone Sbaraglia; Hui-Fang Wen; Seetharami R. Seelam; I-Hsin Chung; Guojing Cong; Kattamuri Ekanadham; David J. Klepacki (VALUETOOLS, 2007)

A framework for automated performance bottleneck detection. - I-Hsin Chung; Guojing Cong; David J. Klepacki; Simone Sbaraglia; Seetharami R. Seelam; Hui-Fang Wen (IPDPS, 2008)

Early experiences in application level I/O tracing on blue gene systems. - Seetharami R. Seelam; I-Hsin Chung; Ding-Yong Hong; Hui-Fang Wen; Hao Yu 008 (IPDPS, 2008)

A Holistic Approach towards Automated Performance Analysis and Tuning. - Guojing Cong; I-Hsin Chung; Hui-Fang Wen; David J. Klepacki; Hiroki Murata; Yasushi Negishi; Takao Moriyama (Euro-Par, 2009)

Tools for scalable performance analysis on Petascale systems. - I-Hsin Chung; Seetharami R. Seelam; Bernd Mohr; Jesús Labarta (IPDPS, 2009)

Towards a framework for automated performance tuning. - Guojing Cong; Seetharami R. Seelam; I-Hsin Chung; Sophia Wen; David J. Klepacki (IPDPS, 2009)

Application level I/O caching on Blue Gene/P systems. - Seetharami R. Seelam; I-Hsin Chung; John Bauer; Hao Yu 008; Hui-Fang Wen (IPDPS, 2009)

Guided Performance Analysis Combining Profile and Trace Tools. - Judit Giménez; Jesús Labarta; F. Xavier Pegenaute; Hui-Fang Wen; David J. Klepacki; I-Hsin Chung; Guojing Cong; Felix Voigtländer; Bernd Mohr (Euro-Par Workshops, 2010)

Automated mapping of regular communication graphs on mesh interconnects. - Abhinav Bhatele; Gagan Raj Gupta 001; Laxmikant V. Kalé; I-Hsin Chung (HiPC, 2010)

Application tuning through bottleneck-driven refactoring. - Guojing Cong; I-Hsin Chung; Hui-Fang Wen; David J. Klepacki; Hiroki Murata; Yasushi Negishi; Takao Moriyama (IPDPS Workshops, 2010)

Parallelization of DQMC simulation for strongly correlated electron systems. - Che-Rung Lee; I-Hsin Chung; Zhaojun Bai (IPDPS, 2010)

Masking I/O latency using application level I/O caching and prefetching on Blue Gene systems. - Seetharami R. Seelam; I-Hsin Chung; John Bauer; Hui-Fang Wen (IPDPS, 2010)

Workload performance characterization of DARPA HPCS benchmarks. - Seetharami R. Seelam; I-Hsin Chung; Guojing Cong; Hui-Fang Wen; David J. Klepacki (Concurr. Comput. Pract. Exp., 2010)

A Parallel Rectangle Intersection Algorithm on GPU+CPU. - Shih-Hsiang Lo; Che-Rung Lee; Yeh-Ching Chung; I-Hsin Chung (CCGRID, 2011)

A Performance Goal Oriented Processor Allocation Technique for Centralized Heterogeneous Multi-cluster Environments. - Po-Chi Shih; Kuo-Chan Huang; Che-Rung Lee; I-Hsin Chung; Yeh-Ching Chung (CCGRID, 2011)

Scalable Communication-Aware Task Mapping Algorithms for Interconnected Multicore Systems. - I-Hsin Chung; Che-Rung Lee; Jiazheng Zhou; Yeh-Ching Chung (HPCC, 2011)

Hierarchical Mapping for HPC Applications. - I-Hsin Chung; Che-Rung Lee; Jiazheng Zhou; Yeh-Ching Chung (Parallel Process. Lett., 2011)

GPU Performance Enhancement via Communication Cost Reduction: Case Studies of Radix Sort and WSN Relay Node Placement Problem. - Che-Rung Lee; Shih-Hsiang Lo; Nan-Hsi Chen; Yeh-Ching Chung; I-Hsin Chung (CCGRID, 2012)

Comparison Studies of Large-scale Conventional Molecular Dynamics Simulation on Parallel Machines. - Yun-Che Wang; Chun-Yi Wu; I-Hsin Chung (HPCC-ICESS, 2012)

Scalable Communication-aware Task Mapping Algorithms for Interconnected Multicore Systems. - I-Hsin Chung; Che-Rung Lee; Jiazheng Zhou; Chung-Yi Chou; Yeh-Ching Chung (IPDPS Workshops, 2012)

An Efficient Framework for Multi-dimensional Tuning of High Performance Computing Applications. - Guojing Cong; Hui-Fang Wen; I-Hsin Chung; David J. Klepacki; Hiroki Murata; Yasushi Negishi (IPDPS, 2012)

A static analysis tool using a three-step approach for data races in HPC programs. - Yasushi Negishi; Hiroki Murata; Guojing Cong; Hui-Fang Wen; I-Hsin Chung (PADTAD, 2012)

Application data prefetching on the IBM blue gene/Q supercomputer. - I-Hsin Chung; Changhoan Kim; Hui-Fang Wen; Guojing Cong (SC, 2012)

A Systematic Approach toward Automated Performance Analysis and Tuning. - Guojing Cong; I-Hsin Chung; Hui-Fang Wen; David J. Klepacki; Hiroki Murata; Yasushi Negishi; Takao Moriyama (IEEE Trans. Parallel Distributed Syst., 2012)

Determination of performance characteristics of scientific applications on IBM Blue Gene/Q. - Constantinos Evangelinos; Robert Walkup; Vipin Sachdeva; Kirk E. Jordan; Hormozd Gahvari; I-Hsin Chung; Michael P. Perrone; Ligang Lu; Lurng-Kuo Liu; Karen A. Magerlein (IBM J. Res. Dev., 2013)

TLA: Temporal look-ahead processor allocation method for heterogeneous multi-cluster systems. - Po-Chi Shih; Kuo-Chan Huang; Che-Rung Lee; I-Hsin Chung; Yeh-Ching Chung (J. Parallel Distributed Comput., 2013)

Optimizing Pairwise Box Intersection Checking on GPUs for Large-Scale Simulations. - Shih-Hsiang Lo; Che-Rung Lee; I-Hsin Chung; Yeh-Ching Chung (ACM Trans. Model. Comput. Simul., 2013)

Parallel deep neural network training for LVCSR tasks using blue gene/Q. - Tara N. Sainath; I-Hsin Chung; Bhuvana Ramabhadran; Michael Picheny; John A. Gunnels; Brian Kingsbury; George Saon; Vernon Austel; Upendra V. Chaudhari (INTERSPEECH, 2014)

Performance Modeling for Hardware Thread-Level Speculation. - Ying-Chieh Wang; Che-Rung Lee; Yeh-Ching Chung; I-Hsin Chung; Michael Perrone (IPDPS Workshops, 2014)

Improving GPU Memory Performancewith Artificial Barrier Synchronization. - Shih-Hsiang Lo; Che-Rung Lee; Quey-Liang Kao; I-Hsin Chung; Yeh-Ching Chung (IEEE Trans. Parallel Distributed Syst., 2014)

Hardware Thread-Level Speculation Performance Analysis. - Ying-Chieh Wang; I-Hsin Chung; Che-Rung Lee; Michael Perrone; Yeh-Ching Chung (HPCC/CSS/ICESS, 2015)

Application Characterization Assisted System Design. - I-Hsin Chung; Carlos H. A. Costa; Leopold Grinberg; Hui-Fang Wen (CIT, 2016)

Particle Swarm Stepwise Algorithm (PaSS) on Multicore Hybrid CPU-GPU Clusters. - Mu Yang; Ray-Bing Chen; I-Hsin Chung; Weichung Wang (CIT, 2016)

A low-latency two-tier measurement and control platform for commodity SDN. - Ming-Hung Chen; Yen-Chen Tien; Yuan-Ting Huang; I-Hsin Chung; Cheng-Fu Chou (IEEE Commun. Mag., 2016)

Incremental Hybrid SDN Deployment for Enterprise Networks. - Ming-Hung Chen; Wei-Min Wang; I-Hsin Chung; Cheng-Fu Chou (DASC/PiCom/DataCom/CyberSciTech, 2017)

Parallel Deep Neural Network Training for Big Data on Blue Gene/Q. - I-Hsin Chung; Tara N. Sainath; Bhuvana Ramabhadran; Michael Picheny; John A. Gunnels; Vernon Austel; Upendra V. Chaudhari; Brian Kingsbury (IEEE Trans. Parallel Distributed Syst., 2017)

FlexProtect: A SDN-based DDoS Attack Protection Architecture for Multi-tenant Data Centers. - Ming-Hung Chen; Jyun-Yan Ciou; I-Hsin Chung; Cheng-Fu Chou (HPC Asia, 2018)

Towards a Composable Computer System. - I-Hsin Chung; Bülent Abali; Paul Crumley (HPC Asia, 2018)

Towards a Single-Host Many-GPU System. - Ming-Hung Chen; I-Hsin Chung; Bülent Abali; Paul Crumley (SBAC-PAD, 2018)

NUMA-Aware Data-Transfer Measurements for Power/NVLink Multi-GPU Systems. - Carl Pearson; I-Hsin Chung; Zehra Sura; Wen-Mei Hwu; Jinjun Xiong (ISC Workshops, 2018)

Deadline Is Not Enough: Importance-Aware Transmission Control Protocol for Server-Centric Data Centers. - Ming-Hung Chen; Shi-Chen Wang; Shih-Wei Liao; I-Hsin Chung; Cheng-Fu Chou (IEEE Syst. J., 2018)

Towards VR/AR Multimedia Content Multicast over Wireless LAN. - Ming-Hung Chen; Kai-Wen Hu; I-Hsin Chung; Cheng-Fu Chou (CCNC, 2019)

Temporal-based Load Adaptive SDN Controller Failover Mechanism. - Ming-Hung Chen; Zhi-Qiang Zhong; I-Hsin Chung; Cheng-Fu Chou (CCNC, 2019)

Evaluating Characteristics of CUDA Communication Primitives on High-Bandwidth Interconnects. - Carl Pearson; Abdul Dakkak; Sarah Hashash; Cheng Li 014; I-Hsin Chung; Jinjun Xiong; Wen-Mei Hwu (ICPE, 2019)

ECS2: A Fast Erasure Coding Library for GPU-Accelerated Storage Systems with Parallel & Direct IO. - ChanJung Chang; Jerry Chou 001; Yu-Ching Chou; I-Hsin Chung (CLUSTER, 2020)

Workshop 14: iWAPT Automatic Performance Tuning. - I-Hsin Chung; Kazuhiko Komatsu (IPDPS Workshops, 2020)

Node-Aware Stencil Communication for Heterogeneous Supercomputers. - Carl Pearson; Mert Hidayetoglu; Mohammad Almasri; Omer Anjum; I-Hsin Chung; Jinjun Xiong; Wen-Mei W. Hwu (IPDPS Workshops, 2020)

Tearing Down the Memory Wall. - Zaid Qureshi; Vikram Sharma Mailthody; Seungwon Min; I-Hsin Chung; Jinjun Xiong; Wen-Mei W. Hwu (CoRR, 2020)

Fast CUDA-Aware MPI Datatypes without Platform Support. - Carl Pearson; Kun Wu 002; I-Hsin Chung; Jinjun Xiong; Wen-Mei Hwu (CoRR, 2020)

Transformation of application enablement tools on CORAL systems. - Serban Maerean; Eun Kyung Lee; Hui-Fang Wen; I-Hsin Chung (IBM J. Res. Dev., 2020)

Toward an Enterprise-ready Composable Infrastructure as a Service. - Lorraine M. Herger; Kaoutar El Maghraoui; I-Hsin Chung; Chekuri Choudary; Kim Tran; Todd Deshane (SCC, 2021)

A Deep Reinforcement Learning Method for Solving Task Mapping Problems with Dynamic Traffic on Parallel Systems. - YuCheng Wang; Jerry Chou 001; I-Hsin Chung (HPC Asia, 2021)

TEMPI: An Interposed MPI Library with a Canonical Representation of CUDA-aware Datatypes. - Carl Pearson; Kun Wu 002; I-Hsin Chung; Jinjun Xiong; Wen-Mei Hwu (HPDC, 2021)

A Locality-aware Cooperative Distributed Memory Caching for Parallel Data Analytic Applications. - Chia-Ting Hung; Jerry Chou 001; Ming-Hung Chen; I-Hsin Chung (IPDPS Workshops, 2022)

NVMe Virtualization for Cloud Virtual Machines. - Lixiang Luo; I-Hsin Chung; Seetharami R. Seelam; Ming-Hung Chen; Yun Joon Soh (ICPE, 2022)

BaM: A Case for Enabling Fine-grain High Throughput GPU-Orchestrated Access to Storage. - Zaid Qureshi; Vikram Sharma Mailthody; Isaac Gelado; Seungwon Min; Amna Masood; Jeongmin Brian Park; Jinjun Xiong; Chris J. Newburn; Dmitri Vainbrand; I-Hsin Chung; Michael Garland; William J. Dally; et al. (CoRR, 2022)

GPU-Initiated On-Demand High-Throughput Storage Access in the BaM System Architecture. - Zaid Qureshi; Vikram Sharma Mailthody; Isaac Gelago; Seungwon Min; Amna Masood; Jeongmin Brian Park; Jinjun Xiong; Chris J. Newburn; Dmitri Vainbrand; I-Hsin Chung; Michael Garland; William J. Dally; et al. (Zenodo, 2022)

Enabling Scalability in the Cloud for Scientific Workflows: An Earth Science Use Case. - Paula Olaya; Jakob Lüttgau; Camila Roa; Ricardo M. Llamas; Rodrigo Vargas; Sophia Wen; I-Hsin Chung; Seetharami R. Seelam; Yoonho Park; Jay F. Lofstead; Michela Taufer (CLOUD, 2023)

GPU-Initiated On-Demand High-Throughput Storage Access in the BaM System Architecture. - Zaid Qureshi; Vikram Sharma Mailthody; Isaac Gelado; Seungwon Min; Amna Masood; Jeongmin Brian Park; Jinjun Xiong; Chris J. Newburn; Dmitri Vainbrand; I-Hsin Chung; Michael Garland; William J. Dally; et al. (ASPLOS (2), 2023)

CODAG: Characterizing and Optimizing Decompression Algorithms for GPUs. - Jeongmin Brian Park; Zaid Qureshi; Vikram S. Mailthody; Andrew Gacek; Shunfan Shao; Mohammad Almasri; Isaac Gelado; Jinjun Xiong; Chris J. Newburn; I-Hsin Chung; Michael Garland; Nikolay Sakharnykh; et al. (CoRR, 2023)

Latency Attack Resilience in Object Detectors: Insights from Computing Architecture. - Erh-Chung Chen; Pin-Yu Chen; I-Hsin Chung; Che-Rung Lee (ACCV (8), 2024)

Overload: Latency Attacks on Object Detection for Edge Devices. - Erh-Chung Chen; Pin-Yu Chen; I-Hsin Chung; Che-Rung Lee (CVPR, 2024)

KubeComp: A Resource-centric Composable Container Orchestrator for GPU Pooling. - Hsu-Tzu Ting; Jerry Chou 001; Ming-Hung Chen; I-Hsin Chung; Huaiyang Pan (UCC, 2024)

Steal Now and Attack Later: Evaluating Robustness of Object Detection against Black-box Adversarial Attacks. - Erh-Chung Chen; Pin-Yu Chen; I-Hsin Chung; Che-Rung Lee (CoRR, 2024)

Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness. - Erh-Chung Chen; Pin-Yu Chen; I-Hsin Chung; Che-Rung Lee (CoRR, 2024)

The infrastructure powering IBM's Gen AI model development. - Talia Gershon; Seetharami Seelam; Brian Belgodere; Milton Bonilla; Lan Hoang; Danny Barnett; I-Hsin Chung; Apoorve Mohan; Ming-Hung Chen; Lixiang Luo; Robert Walkup; Constantinos Evangelinos; et al. (CoRR, 2024)

Understanding and Improving Training-Free AI-Generated Image Detections with Vision Foundation Models. - Chung-Ting Tsai 002; Ching-Yun Ko; I-Hsin Chung; Yu-Chiang Frank Wang; Pin-Yu Chen (CoRR, 2024)

Vela: A Virtualized LLM Training System with GPU Direct RoCE. - Apoorve Mohan; Robert Walkup; Bengi Karacali; Ming-Hung Chen; Abdullah Kayi; Liran Schour; Shweta Salaria; Sophia Wen; I-Hsin Chung; Abdul Alim; Constantinos Evangelinos; Lixiang Luo; et al. (ASPLOS (2), 2025)

Fast Malicious Packets Inspection Framework Using Converged Accelerator. - Chuan-Ming Ou; Yong-Xuan Huang; Ming-Hung Chen; I-Hsin Chung; Jerry Chou 001 (HPC Asia, 2025)

PCIe Bandwidth-Aware Scheduling for Multi-Instance GPUs. - Yan-Mei Tang; Wei-Fang Sun; Hsu-Tzu Ting; Ming-Hung Chen; I-Hsin Chung; Jerry Chou 001 (HPC Asia, 2025)

Attention Tracker: Detecting Prompt Injection Attacks in LLMs. - Kuo-Han Hung; Ching-Yun Ko; Ambrish Rawat; I-Hsin Chung; Winston H. Hsu; Pin-Yu Chen (NAACL (Findings), 2025)

STAR: Spectral Truncation and Rescale for Model Merging. - Yu-Ang Lee; Ching-Yun Ko; Tejaswini Pedapati; I-Hsin Chung; Mi-Yen Yeh; Pin-Yu Chen (NAACL (Short Papers), 2025)

Cost-Efficient LLM Training with Lifetime-Aware Tensor Offloading via GPUDirect Storage. - Ziqi Yuan; Haoyang Zhang; Yirui Eric Zhou; Apoorve Mohan; I-Hsin Chung; Seetharami Seelam; Jian Huang (CoRR, 2025)