Kevin J. Barker

106 papers A* 5A 16B 8C 10Misc 1Journal 33Unranked 32

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	NVBleed: Covert and Side-Channel Attacks on NVIDIA Multi-GPU Interconnect. CoRR Yicheng Zhang, Ravan Nazaraliyev, Sankha Baran Dutta, Andres Marquez, Kevin J. Barker, Nael B. Abu-Ghazaleh
2025	A*	`conf`	Not so Refreshing: Attacking GPUs using RFM Rowhammer Mitigation. USENIX Security Symposium Ravan Nazaraliyev, Yicheng Zhang, Sankha Baran Dutta, Andrés Márquez, Kevin J. Barker, Nael B. Abu-Ghazaleh
2024	C	`conf`	A Performance and Energy Study of GPU-Resident Preconditioners for Conjugate Gradient Solvers: In the Context of Existing and Novel Approaches. SBAC-PAD Kasia Swirydowicz, Jesun Firoz, Joseph B. Manzano, Mahantesh Halappanavar, Stephen Thomas, Kevin J. Barker
2024	B	`conf`	Automatic Extraction of Network Configurations for Realistic Simulation and Validation. ISPASS Joshua Suetterlein, Stephen J. Young, Jesun Firoz, Joseph B. Manzano, Ryan D. Friese, Nathan R. Tallent, Kevin J. Barker, Timothy Stavenger
2024	—	`conf`	Beyond the Bridge: Contention-Based Covert and Side Channel Attacks on Multi-GPU Interconnect. SEED Yicheng Zhang, Ravan Nazaraliyev, Sankha Baran Dutta, Nael B. Abu-Ghazaleh, Andres Marquez, Kevin J. Barker
2024	J	`jnl`	Beyond the Bridge: Contention-Based Covert and Side Channel Attacks on Multi-GPU Interconnect. CoRR Yicheng Zhang, Ravan Nazaraliyev, Sankha Baran Dutta, Nael B. Abu-Ghazaleh, Andres Marquez, Kevin J. Barker
2024	—	`conf`	Cookie-Jar: An Adaptive Re-configurable Framework for Wireless Network Infrastructures. CF Oceane Bel, Burcu Ozcelik Mutlu, Joseph B. Manzano, Cimone Wright-Hamor, Omer Subasi, Kevin J. Barker
2024	—	`conf`	Evaluating Emerging AI/ML Accelerators: IPU, RDU, and NVIDIA/AMD GPUs. ICPE (Companion) Hongwu Peng, Caiwen Ding, Tong Geng, Sutanay Choudhury, Kevin J. Barker, Ang Li
2024	B	`conf`	HAppA: A Modular Platform for HPC Application Resilience Analysis with LLMs Embedded. SRDS Hailong Jiang, Jianfeng Zhu, Bo Fang, Kevin J. Barker, Chao Chen, Ruoming Jin, Qiang Guan
2024	—	`conf`	HPC Network Simulation Tuning via Automatic Extraction of Hardware Parameters. HPEC Joshua Suetterlein, Stephen J. Young, Jesun Firoz, Joseph B. Manzano, Nathan R. Tallent, Ryan D. Friese, Kevin J. Barker, Timothy Stavenger
2024	C	`conf`	Understanding Mixed Precision GEMM with MPGemmFI: Insights into Fault Resilience. CLUSTER Bo Fang, Xinyi Li, Harvey Dam, Cheng Tan, Siva Kumar Sastry Hari, Timothy Tsai, Ignacio Laguna, Dingwen Tao, Ganesh Gopalakrishnan, Prashant J. Nair, Kevin J. Barker, Ang Li
2023	J	`jnl`	Accelerating matrix-centric graph processing on GPUs through bit-level optimizations. J. Parallel Distributed Comput. Jou-An Chen, Hsin-Hsuan Sung, Xipeng Shen, Nathan R. Tallent, Kevin J. Barker, Ang Li
2023	C	`conf`	Assessing Risk in High Performance Computing Attacks. ICISSP Erika A. Leal, Cimone Wright-Hamor, Joseph B. Manzano, Nicholas J. Multari, Kevin J. Barker, David O. Manz, Jiang Ming
2023	J	`jnl`	Codesign for Extreme Heterogeneity: Integrating Custom Hardware With Commodity Computing Technology to Support Next-Generation HPC Converged Workloads. IEEE Internet Comput. James A. Ang, Kevin J. Barker, Draguna L. Vrabie, Gokcen Kestor
2023	Misc	`conf`	Denial of Service Attack Detection via Differential Analysis of Generalized Entropy Progressions. CSR Omer Subasi, Joseph B. Manzano, Kevin J. Barker
2023	J	`jnl`	Evaluating Emerging AI/ML Accelerators: IPU, RDU, and NVIDIA/AMD GPUs. CoRR Hongwu Peng, Caiwen Ding, Tong Geng, Sutanay Choudhury, Kevin J. Barker, Ang Li
2023	—	`conf`	Evaluating Energy Efficiency of GPUs using Machine Learning Benchmarks. IPDPS Workshops Brett Foster, Shubbhi Taneja, Joseph B. Manzano, Kevin J. Barker
2023	—	`conf`	Finding Your Niche: An Evolutionary Approach to HPC Topologies. HPEC Stephen J. Young, Joshua Suetterlein, Jesun Firoz, Joseph B. Manzano, Kevin J. Barker
2023	A*	`conf`	MGG: Accelerating Graph Neural Networks with Fine-Grained Intra-Kernel Communication-Computation Pipelining on Multi-GPU Platforms. OSDI Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Kevin J. Barker, Ang Li, Yufei Ding
2023	J	`jnl`	MPGemmFI: A Fault Injection Technique for Mixed Precision GEMM in ML Applications. CoRR Bo Fang, Xinyi Li, Harvey Dam, Cheng Tan, Siva Kumar Sastry Hari, Timothy Tsai, Ignacio Laguna, Dingwen Tao, Ganesh Gopalakrishnan, Prashant J. Nair, Kevin J. Barker, Ang Li
2023	A*	`conf`	Spy in the GPU-box: Covert and Side Channel Attacks on Multi-GPU Systems. ISCA Sankha Baran Dutta, Hoda Naghibijouybari, Arjun Gupta, Nael B. Abu-Ghazaleh, Andres Marquez, Kevin J. Barker
2023	J	`jnl`	The Landscape of Modern Machine Learning: A Review of Machine, Distributed and Federated Learning. CoRR Omer Subasi, Oceane Bel, Joseph B. Manzano, Kevin J. Barker
2022	A	`conf`	Bit-GraphBLAS: Bit-Level Optimizations of Matrix-Centric Graph Processing on GPU. IPDPS Jou-An Chen, Hsin-Hsuan Sung, Xipeng Shen, Nathan R. Tallent, Kevin J. Barker, Ang Li
2022	J	`jnl`	Bit-GraphBLAS: Bit-Level Optimizations of Matrix-Centric Graph Processing on GPU. CoRR Jou-An Chen, Hsin-Hsuan Sung, Nathan R. Tallent, Kevin J. Barker, Xipeng Shen, Ang Li
2022	A*	`conf`	DRIPS: Dynamic Rebalancing of Pipelined Streaming Applications on CGRAs. HPCA Cheng Tan, Nicolas Bohm Agostini, Tong Geng, Chenhao Xie, Jiajia Li, Ang Li, Kevin J. Barker, Antonino Tumeo
2022	J	`jnl`	Direction-optimizing Label Propagation Framework for Structure Detection in Graphs: Design, Implementation, and Experimental Analysis. ACM J. Exp. Algorithmics Xu T. Liu, Andrew Lumsdaine, Mahantesh Halappanavar, Kevin J. Barker, Assefaw Hadish Gebremedhin
2022	J	`jnl`	Empowering GNNs with Fine-grained Communication-Computation Pipelining on Multi-GPU Platforms. CoRR Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Kevin J. Barker, Ang Li, Yufei Ding
2022	J	`jnl`	MSREP: A Fast yet Light Sparse Matrix Framework for Multi-GPU Systems. CoRR Jieyang Chen, Chenhao Xie, Jesun Sahariar Firoz, Jiajia Li, Shuaiwen Leon Song, Kevin J. Barker, Mark Raugas, Ang Li
2022	J	`jnl`	Spy in the GPU-box: Covert and Side Channel Attacks on Multi-GPU Systems. CoRR Sankha Baran Dutta, Hoda Naghibijouybari, Arjun Gupta, Nael B. Abu-Ghazaleh, Andres Marquez, Kevin J. Barker
2022	—	`conf`	Towards Precision-Aware Fault Tolerance Approaches for Mixed-Precision Applications. FTXS@SC Bo Fang, Siva Kumar Sastry Hari, Timothy Tsai, Xinyi Li, Ganesh Gopalakrishnan, Ignacio Laguna, Kevin J. Barker, Ang Li
2021	J	`jnl`	ARENA: Asynchronous Reconfigurable Accelerator Ring to Enable Data-Centric Parallel Computing. IEEE Trans. Parallel Distributed Syst. Cheng Tan, Chenhao Xie, Tong Geng, Andres Marquez, Antonino Tumeo, Kevin J. Barker, Ang Li
2021	A	`conf`	AURORA: Automated Refinement of Coarse-Grained Reconfigurable Accelerators. DATE Cheng Tan, Chenhao Xie, Ang Li, Kevin J. Barker, Antonino Tumeo
2021	J	`jnl`	Denial-of-Service Attack Detection via Differential Analysis of Generalized Entropy Progressions. CoRR Omer Subasi, Joseph B. Manzano, Kevin J. Barker
2021	C	`conf`	DynPaC: Coarse-Grained, Dynamic, and Partially Reconfigurable Array for Streaming Applications. ICCD Cheng Tan, Tong Geng, Chenhao Xie, Nicolas Bohm Agostini, Jiajia Li, Ang Li, Kevin J. Barker, Antonino Tumeo
2021	B	`conf`	Fast and Scalable Sparse Triangular Solver for Multi-GPU Based HPC Architectures. ICPP Chenhao Xie, Jieyang Chen, Jesun Firoz, Jiajia Li, Shuaiwen Leon Song, Kevin J. Barker, Mark Raugas, Ang Li
2021	A*	`conf`	Leaky Buddies: Cross-Component Covert Channels on Integrated CPU-GPU Systems. ISCA Sankha Baran Dutta, Hoda Naghibijouybari, Nael B. Abu-Ghazaleh, Andres Marquez, Kevin J. Barker
2021	—	`conf`	OpenCGRA: Democratizing Coarse-Grained Reconfigurable Arrays. ASAP Cheng Tan, Nicolas Bohm Agostini, Jeff Zhang, Marco Minutoli, Vito Giovanni Castellana, Chenhao Xie, Tong Geng, Ang Li, Kevin J. Barker, Antonino Tumeo
2020	J	`jnl`	A Parallel Sparse Tensor Benchmark Suite on CPUs and GPUs. CoRR Jiajia Li, Mahesh Lakshminarasimhan, Xiaolong Wu, Ang Li, Catherine Olschanowsky, Kevin J. Barker
2020	—	`conf`	A Sparse Tensor Benchmark Suite for CPUs and GPUs. IISWC Jiajia Li, Mahesh Lakshminarasimhan, Xiaolong Wu, Ang Li, Catherine Olschanowsky, Kevin J. Barker
2020	B	`conf`	A parallel sparse tensor benchmark suite on CPUs and GPUs. PPoPP Jiajia Li, Mahesh Lakshminarasimhan, Xiaolong Wu, Ang Li, Catherine Olschanowsky, Kevin J. Barker
2020	J	`jnl`	ARENA: Asynchronous Reconfigurable Accelerator Ring to Enable Data-Centric Parallel Computing. CoRR Cheng Tan, Chenhao Xie, Andres Marquez, Antonino Tumeo, Kevin J. Barker, Ang Li
2020	B	`conf`	Detecting Anomalous Computation with RNNs on GPU-Accelerated HPC Machines. ICPP Pengfei Zou, Ang Li, Kevin J. Barker, Rong Ge
2020	—	`conf`	Direction-optimizing label propagation and its application to community detection. CF Xu T. Liu, Mahantesh Halappanavar, Kevin J. Barker, Andrew Lumsdaine, Assefaw H. Gebremedhin
2020	J	`jnl`	Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect. IEEE Trans. Parallel Distributed Syst. Ang Li, Shuaiwen Leon Song, Jieyang Chen, Jiajia Li, Xu Liu, Nathan R. Tallent, Kevin J. Barker
2020	J	`jnl`	Fast and Scalable Sparse Triangular Solver for Multi-GPU Based HPC Architectures. CoRR Chenhao Xie, Jieyang Chen, Jesun Sahariar Firoz, Jiajia Li, Shuaiwen Leon Song, Kevin J. Barker, Mark Raugas, Ang Li
2020	B	`conf`	Indicator-Directed Dynamic Power Management for Iterative Workloads on GPU-Accelerated Systems. CCGRID Pengfei Zou, Ang Li, Kevin J. Barker, Rong Ge
2020	J	`jnl`	Leaky Buddies: Cross-Component Covert Channels on Integrated CPU-GPU Systems. CoRR Sankha Baran Dutta, Hoda Naghibijouybari, Nael B. Abu-Ghazaleh, Andres Marquez, Kevin J. Barker
2020	—	`conf`	On the Feasibility of Using Reduced-Precision Tensor Core Operations for Graph Analytics. HPEC Jesun Sahariar Firoz, Ang Li, Jiajia Li, Kevin J. Barker
2020	C	`conf`	OpenCGRA: An Open-Source Unified Framework for Modeling, Testing, and Evaluating CGRAs. ICCD Cheng Tan, Chenhao Xie, Ang Li, Kevin J. Barker, Antonino Tumeo
2019	A	`conf`	BSTC: a novel binarized-soft-tensor-core design for accelerating bit-based approximated neural nets. SC Ang Li, Tong Geng, Tianqi Wang, Martin C. Herbordt, Shuaiwen Leon Song, Kevin J. Barker
2019	—	`conf`	Distributed Direction-Optimizing Label Propagation for Community Detection. HPEC Xu Liu, Jesun Sahariar Firoz, Marcin Zalewski, Mahantesh Halappanavar, Kevin J. Barker, Andrew Lumsdaine, Assefaw H. Gebremedhin
2019	A	`conf`	Efficient and effective sparse tensor reordering. ICS Jiajia Li, Bora Uçar, Ümit V. Çatalyürek, Jimeng Sun, Kevin J. Barker, Richard W. Vuduc
2019	J	`jnl`	Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect. CoRR Ang Li, Shuaiwen Leon Song, Jieyang Chen, Jiajia Li, Xu Liu, Nathan R. Tallent, Kevin J. Barker
2019	—	`conf`	Fingerprinting Anomalous Computation with RNN for GPU-accelerated HPC Machines. IISWC Pengfei Zou, Ang Li, Kevin J. Barker, Rong Ge
2019	J	`jnl`	PASTA: A Parallel Sparse Tensor Algorithm Benchmark Suite. CoRR Jiajia Li, Yuchen Ma, Xiaolong Wu, Ang Li, Kevin J. Barker
2019	J	`jnl`	PASTA: a parallel sparse tensor algorithm benchmark suite. CCF Trans. High Perform. Comput. Jiajia Li, Yuchen Ma, Xiaolong Wu, Ang Li, Kevin J. Barker
2018	C	`conf`	Optimizing Distributed Data-Intensive Workflows. CLUSTER Ryan D. Friese, Nathan R. Tallent, Malachi Schram, Mahantesh Halappanavar, Kevin J. Barker
2018	—	`conf`	Tartan: Evaluating Modern GPU Interconnect via a Multi-GPU Benchmark Suite. IISWC Ang Li, Shuaiwen Leon Song, Jieyang Chen, Xu Liu, Nathan R. Tallent, Kevin J. Barker
2018	A	`conf`	Warp-Consolidation: A Novel Execution Model for GPUs. ICS Ang Li, Weifeng Liu, Linnan Wang, Kevin J. Barker, Shuaiwen Leon Song
2017	—	`conf`	Designing Scalable Distributed Memory Models: A Case Study. Conf. Computing Frontiers Joshua Landwehr, Joshua Suetterlein, Joseph B. Manzano, Andrés Márquez, Kevin J. Barker, Guang R. Gao
2017	—	`conf`	Verification of the Extended Roofline Model for Asynchronous Many Task Runtimes. ESPM2@SC Joshua Suetterlein, Joshua Landwehr, Andres Marquez, Joseph B. Manzano, Kevin J. Barker, Guang R. Gao
2016	—	`conf`	Assessing Advanced Technology in CENATE. NAS Nathan R. Tallent, Kevin J. Barker, Roberto Gioiosa, Andrés Márquez, Gokcen Kestor, Leon Song, Antonino Tumeo, Darren J. Kerbyson, Adolfy Hoisie
2016	—	`conf`	LSPP Introduction and Committees. IPDPS Workshops Kevin J. Barker, Christopher D. Carothers, Eric Van Hensbergen
2016	—	`conf`	Modeling the Impact of Silicon Photonics on Graph Analytics. NAS Nathan R. Tallent, Kevin J. Barker, Daniel G. Chavarría-Miranda, Antonino Tumeo, Mahantesh Halappanavar, Andrés Márquez, Darren J. Kerbyson, Adolfy Hoisie
2016	—	`conf`	Modeling the Performance and Energy Impact of Dynamic Power Steering. IPDPS Workshops Kevin J. Barker, Darren J. Kerbyson
2015	—	`conf`	Towards efficient scheduling of data intensive high energy physics workflows. WORKS@SC Mahantesh Halappanavar, Malachi Schram, Luis de la Torre, Kevin J. Barker, Nathan R. Tallent, Darren J. Kerbyson
2014	J	`jnl`	A performance comparison of current HPC systems: Blue Gene/Q, Cray XE6 and InfiniBand systems. Future Gener. Comput. Syst. Darren J. Kerbyson, Kevin J. Barker, Abhinav Vishnu, Adolfy Hoisie
2014	A	`conf`	MIC-SVM: Designing a Highly Efficient Support Vector Machine for Advanced Modern Multi-core and Many-Core Architectures. IPDPS Yang You, Shuaiwen Leon Song, Haohuan Fu, Andres Marquez, Maryam Mehri Dehnavi, Kevin J. Barker, Kirk W. Cameron, Amanda Peters Randles, Guangwen Yang
2014	—	`conf`	On the feasibility of dynamic power steering. E2SC@SC Kevin J. Barker, Darren J. Kerbyson, Eric Anger
2013	J	`jnl`	A Performance Analysis of Three Generations of Blue gene. Parallel Process. Lett. Darren J. Kerbyson, Kevin J. Barker, Diego S. Gallo, Dong Chen, José R. Brunheroto, Kyung Dong Ryu, George L.-T. Chiu, Adolfy Hoisie
2013	—	`conf`	Building Scalable PGAS Communication Subsystem on Blue Gene/Q. IPDPS Workshops Abhinav Vishnu, Darren J. Kerbyson, Kevin J. Barker, Hubertus Van Dam
2013	J	`jnl`	Designing energy efficient communication runtime systems: a view from PGAS models. J. Supercomput. Abhinav Vishnu, Shuaiwen Song, Andres Marquez, Kevin J. Barker, Darren J. Kerbyson, Kirk W. Cameron, Pavan Balaji
2013	—	`ed.`	Proceedings of the 1st International Workshop on Energy Efficient Supercomputing, E2SC 2013, Denver, Colorado, USA, November 17-21, 2013 E2SC@SC Kirk W. Cameron, Darren J. Kerbyson, Andres Marquez, Dimitrios S. Nikolopoulos, Sudha Yalamanchili, Kevin J. Barker
2013	C	`conf`	Tracking the Performance Evolution of Blue Gene Systems. ISC Darren J. Kerbyson, Kevin J. Barker, Diego S. Gallo, Dong Chen, José R. Brunheroto, Kyung Dong Ryu, George L.-T. Chiu, Adolfy Hoisie
2013	—	`conf`	Unified performance and power modeling of scientific workloads. E2SC@SC Shuaiwen Leon Song, Kevin J. Barker, Darren J. Kerbyson
2012	B	`conf`	Comparing the Performance of Blue Gene/Q with Leading Cray XE6 and InfiniBand Systems. ICPADS Darren J. Kerbyson, Kevin J. Barker, Abhinav Vishnu, Adolfy Hoisie
2011	—	`conf`	A Performance Model of Direct Numerical Simulation for Analyzing Large-Scale Systems. IPDPS Workshops Darren J. Kerbyson, Kevin J. Barker
2011	A	`conf`	An early performance analysis of POWER7-IH HPC systems. SC Kevin J. Barker, Adolfy Hoisie, Darren J. Kerbyson
2011	C	`conf`	Analyzing the Performance Bottlenecks of the POWER7-IH Network. CLUSTER Darren J. Kerbyson, Kevin J. Barker
2011	J	`jnl`	Codesign Challenges for Exascale Systems: Performance, Power, and Reliability. Computer Darren J. Kerbyson, Abhinav Vishnu, Kevin J. Barker, Adolfy Hoisie
2011	C	`conf`	Energy Templates: Exploiting Application Information to Save Energy. CLUSTER Darren J. Kerbyson, Abhinav Vishnu, Kevin J. Barker
2011	J	`jnl`	Modeling the Performance of Direct numerical Simulation on Parallel Systems. Parallel Process. Lett. Darren J. Kerbyson, Kevin J. Barker
2010	—	`conf`	Designing Energy Efficient Communication Runtime Systems for Data Centric Programming Models. GreenCom/CPSCom Abhinav Vishnu, Shuaiwen Song, Andres Marquez, Kevin J. Barker, Darren J. Kerbyson, Kirk W. Cameron, Pavan Balaji
2009	J	`jnl`	An MPI Performance Monitoring Interface for Cell Based Compute Nodes. Parallel Process. Lett. Hikmet Dursun, Kevin J. Barker, Darren J. Kerbyson, Scott Pakin, Richard Seymour, Rajiv K. Kalia, Aiichiro Nakano, Priya Vashishta
2009	A	`conf`	Application profiling on Cell-based clusters. IPDPS Hikmet Dursun, Kevin J. Barker, Darren J. Kerbyson, Scott Pakin
2009	J	`jnl`	Performance Prediction via Modeling: a Case Study of the ORNL Cray XT4 Upgrade. Parallel Process. Lett. Kei Davis, Kevin J. Barker, Darren J. Kerbyson
2009	A	`conf`	Performance modeling in action: Performance prediction of a Cray XT4 system during upgrade. IPDPS Kevin J. Barker, Kei Davis, Darren J. Kerbyson
2009	J	`jnl`	Using Performance Modeling to Design Large-Scale Systems. Computer Kevin J. Barker, Kei Davis, Adolfy Hoisie, Darren J. Kerbyson, Michael Lang, Scott Pakin, José Carlos Sancho
2008	A	`conf`	0.374 Pflop/s trillion-particle kinetic modeling of laser plasma interaction on Roadrunner. SC Kevin J. Bowers, Brian J. Albright, Ben Bergen, Lin Yin, Kevin J. Barker, Darren J. Kerbyson
2008	J	`jnl`	A Performance Evaluation of the Nehalem Quad-Core Processor for Scientific Computing. Parallel Process. Lett. Kevin J. Barker, Kei Davis, Adolfy Hoisie, Darren J. Kerbyson, Michael Lang, Scott Pakin, José Carlos Sancho
2008	A	`conf`	Entering the petaflop era: the architecture and performance of Roadrunner. SC Kevin J. Barker, Kei Davis, Adolfy Hoisie, Darren J. Kerbyson, Michael Lang, Scott Pakin, José Carlos Sancho
2008	A	`conf`	Experiences in scaling scientific applications on current-generation quad-core processors. IPDPS Kevin J. Barker, Kei Davis, Adolfy Hoisie, Darren J. Kerbyson, Michael Lang, Scott Pakin, José Carlos Sancho
2007	—	`conf`	Analysis of the Weather Research and Forecasting (WRF) Model on Large-Scale Systems. PARCO Darren J. Kerbyson, Kevin J. Barker, Kei Davis
2007	C	`conf`	Efficient offloading of collective communications in large-scale systems. CLUSTER José Carlos Sancho, Darren J. Kerbyson, Kevin J. Barker
2007	—	`conf`	Performance Analysis of an Optical Circuit Switched Network for Peta-Scale Systems. Euro-Par Kevin J. Barker, Darren J. Kerbyson
2006	B	`conf`	A Performance Model of the Krak Hydrodynamics Application. ICPP Kevin J. Barker, Scott Pakin, Darren J. Kerbyson
2006	A	`conf`	MPI tools and performance studies - Quantifying the potential benefit of overlapping communication and computation in large-scale scientific applications. SC José Carlos Sancho, Kevin J. Barker, Darren J. Kerbyson, Kei Davis
2005	—	`conf`	A Performance Model and Scalability Analysis of the HYCOM Ocean Simulation Application. IASTED PDCS Kevin J. Barker, Darren J. Kerbyson
2005	—	`conf`	Automatic Identification of Application Communication Patterns via Templates. PDCS Darren J. Kerbyson, Kevin J. Barker
2005	A	`conf`	On the Feasibility of Optical Circuit Switching for High Performance Computing Systems. SC Kevin J. Barker, Alan F. Benner, Raymond R. Hoare, Adolfy Hoisie, Alex K. Jones, Darren J. Kerbyson, Dan Li, Rami G. Melhem, Ramakrishnan Rajamony, Eugen Schenfeld, Shuyi Shao, Craig B. Stunkel, Peter Walker
2005	A	`conf`	Practical Performance Model for Optimizing Dynamic Load Balancing of Adaptive Applications. IPDPS Kevin J. Barker, Nikos Chrisochoides
2004	J	`jnl`	A Load Balancing Framework for Adaptive and Asynchronous Applications. IEEE Trans. Parallel Distributed Syst. Kevin J. Barker, Andrey N. Chernikov, Nikos Chrisochoides, Keshav Pingali
2004	—	`conf`	A Novel Dynamic Load Balancing Library for Cluster Computing. ISPDC/HeteroPar Mahadevan Balasubramaniam, Kevin J. Barker, Ioana Banicescu, Nikos Chrisochoides, Jaderick P. Pabico, Ricolindo Cariño
2003	A	`conf`	An Evaluation of a Framework for the Dynamic Load Balancing of Highly Adaptive and Irregular Parallel Applications. SC Kevin J. Barker, Nikos Chrisochoides
2002	J	`jnl`	Date movement and control substrate for parallel adaptive applications. Concurr. Comput. Pract. Exp. Kevin J. Barker, Nikos Chrisochoides, Jeffrey Dobbelaere, Démian Nave, Keshav Pingali
1998	—	`conf`	The Mobile Object Layer: A Run-Time Substrate for Mobile Adaptive Computations. ISCOPE Nikos Chrisochoides, Kevin J. Barker, Démian Nave, Chris Hawblitzel