Kevin J. Barker

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 54

Top Topics

Benchmark Suite

Graphics Processors

Label Propagation

Detecting Anomalous

Top Venues

Publications

Joshua Suetterlein, Stephen J. Young, J. esun Firoz, Joseph B. Manzano, Ryan D. Friese, Nathan R. Tallent, Kevin J. Barker, Timothy Stavenger
Automatic Extraction of Network Configurations for Realistic Simulation and Validation. ISPASS (2024)
Oceane Bel, Burcu Ozcelik Mutlu, Joseph B. Manzano, Cimone Wright-Hamor, Omer Subasi, Kevin J. Barker
Cookie-Jar: An Adaptive Re-configurable Framework for Wireless Network Infrastructures. CF (2024)
Hongwu Peng, Caiwen Ding, Tong Geng, Sutanay Choudhury, Kevin J. Barker, Ang Li
Evaluating Emerging AI/ML Accelerators: IPU, RDU, and NVIDIA/AMD GPUs. ICPE (Companion) (2024)
James A. Ang, Kevin J. Barker, Draguna L. Vrabie, Gokcen Kestor
Codesign for Extreme Heterogeneity: Integrating Custom Hardware With Commodity Computing Technology to Support Next-Generation HPC Converged Workloads. IEEE Internet Comput. 27 (1) (2023)
Bo Fang, Xinyi Li, Harvey Dam, Cheng Tan, Siva Kumar Sastry Hari, Timothy Tsai, Ignacio Laguna, Dingwen Tao, Ganesh Gopalakrishnan, Prashant Nair, Kevin J. Barker, Ang Li
MPGemmFI: A Fault Injection Technique for Mixed Precision GEMM in ML Applications. CoRR (2023)
Sankha Baran Dutta, Hoda Naghibijouybari, Arjun Gupta, Nael B. Abu-Ghazaleh, Andres Marquez, Kevin J. Barker
Spy in the GPU-box: Covert and Side Channel Attacks on Multi-GPU Systems. ISCA (2023)
Stephen J. Young, Joshua Suetterlein, Jesun Firoz, Joseph B. Manzano, Kevin J. Barker
Finding Your Niche: An Evolutionary Approach to HPC Topologies. HPEC (2023)
Jou-An Chen, Hsin-Hsuan Sung, Xipeng Shen, Nathan R. Tallent, Kevin J. Barker, Ang Li
Accelerating matrix-centric graph processing on GPUs through bit-level optimizations. J. Parallel Distributed Comput. 177 (2023)
Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Kevin J. Barker, Ang Li, Yufei Ding
MGG: Accelerating Graph Neural Networks with Fine-Grained Intra-Kernel Communication-Computation Pipelining on Multi-GPU Platforms. OSDI (2023)
Hongwu Peng, Caiwen Ding, Tong Geng, Sutanay Choudhury, Kevin J. Barker, Ang Li
Evaluating Emerging AI/ML Accelerators: IPU, RDU, and NVIDIA/AMD GPUs. CoRR (2023)
Erika A. Leal, Cimone Wright-Hamor, Joseph B. Manzano, Nicholas J. Multari, Kevin J. Barker, David O. Manz, Jiang Ming
Assessing Risk in High Performance Computing Attacks. ICISSP (2023)
Sankha Baran Dutta, Hoda Naghibijouybari, Arjun Gupta, Nael B. Abu-Ghazaleh, Andres Marquez, Kevin J. Barker
Spy in the GPU-box: Covert and Side Channel Attacks on Multi-GPU Systems. CoRR (2022)
Jou-An Chen, Hsin-Hsuan Sung, Xipeng Shen, Nathan R. Tallent, Kevin J. Barker, Ang Li
Bit-GraphBLAS: Bit-Level Optimizations of Matrix-Centric Graph Processing on GPU. IPDPS (2022)
Bo Fang, Siva Kumar Sastry Hari, Timothy Tsai, Xinyi Li, Ganesh Gopalakrishnan, Ignacio Laguna, Kevin J. Barker, Ang Li
Towards Precision-Aware Fault Tolerance Approaches for Mixed-Precision Applications. FTXS@SC (2022)
Jieyang Chen, Chenhao Xie, Jesun Sahariar Firoz, Jiajia Li, Shuaiwen Leon Song, Kevin J. Barker, Mark Raugas, Ang Li
MSREP: A Fast yet Light Sparse Matrix Framework for Multi-GPU Systems. CoRR (2022)
Jou-An Chen, Hsin-Hsuan Sung, Nathan R. Tallent, Kevin J. Barker, Xipeng Shen, Ang Li
Bit-GraphBLAS: Bit-Level Optimizations of Matrix-Centric Graph Processing on GPU. CoRR (2022)
Xu T. Liu, Andrew Lumsdaine, Mahantesh Halappanavar, Kevin J. Barker, Assefaw Hadish Gebremedhin
Direction-optimizing Label Propagation Framework for Structure Detection in Graphs: Design, Implementation, and Experimental Analysis. ACM J. Exp. Algorithmics 27 (2022)
Cheng Tan, Nicolas Bohm Agostini, Tong Geng, Chenhao Xie, Jiajia Li, Ang Li, Kevin J. Barker, Antonino Tumeo
DRIPS: Dynamic Rebalancing of Pipelined Streaming Applications on CGRAs. HPCA (2022)
Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Kevin J. Barker, Ang Li, Yufei Ding
Empowering GNNs with Fine-grained Communication-Computation Pipelining on Multi-GPU Platforms. CoRR (2022)
Cheng Tan, Chenhao Xie, Tong Geng, Andres Marquez, Antonino Tumeo, Kevin J. Barker, Ang Li
ARENA: Asynchronous Reconfigurable Accelerator Ring to Enable Data-Centric Parallel Computing. IEEE Trans. Parallel Distributed Syst. 32 (12) (2021)
Omer Subasi, Joseph B. Manzano, Kevin J. Barker
Denial-of-Service Attack Detection via Differential Analysis of Generalized Entropy Progressions. CoRR (2021)
Cheng Tan, Nicolas Bohm Agostini, Jeff Zhang, Marco Minutoli, Vito Giovanni Castellana, Chenhao Xie, Tong Geng, Ang Li, Kevin J. Barker, Antonino Tumeo
OpenCGRA: Democratizing Coarse-Grained Reconfigurable Arrays. ASAP (2021)
Cheng Tan, Tong Geng, Chenhao Xie, Nicolas Bohm Agostini, Jiajia Li, Ang Li, Kevin J. Barker, Antonino Tumeo
DynPaC: Coarse-Grained, Dynamic, and Partially Reconfigurable Array for Streaming Applications. ICCD (2021)
Sankha Baran Dutta, Hoda Naghibijouybari, Nael B. Abu-Ghazaleh, Andres Marquez, Kevin J. Barker
Leaky Buddies: Cross-Component Covert Channels on Integrated CPU-GPU Systems. ISCA (2021)
Chenhao Xie, Jieyang Chen, Jesun Firoz, Jiajia Li, Shuaiwen Leon Song, Kevin J. Barker, Mark Raugas, Ang Li
Fast and Scalable Sparse Triangular Solver for Multi-GPU Based HPC Architectures. ICPP (2021)
Cheng Tan, Chenhao Xie, Ang Li, Kevin J. Barker, Antonino Tumeo
AURORA: Automated Refinement of Coarse-Grained Reconfigurable Accelerators. DATE (2021)
Pengfei Zou, Ang Li, Kevin J. Barker, Rong Ge
Indicator-Directed Dynamic Power Management for Iterative Workloads on GPU-Accelerated Systems. CCGRID (2020)
Chenhao Xie, Jieyang Chen, Jesun Sahariar Firoz, Jiajia Li, Shuaiwen Leon Song, Kevin J. Barker, Mark Raugas, Ang Li
Fast and Scalable Sparse Triangular Solver for Multi-GPU Based HPC Architectures. CoRR (2020)
Sankha Baran Dutta, Hoda Naghibijouybari, Nael B. Abu-Ghazaleh, Andres Marquez, Kevin J. Barker
Leaky Buddies: Cross-Component Covert Channels on Integrated CPU-GPU Systems. CoRR (2020)
Pengfei Zou, Ang Li, Kevin J. Barker, Rong Ge
Detecting Anomalous Computation with RNNs on GPU-Accelerated HPC Machines. ICPP (2020)
Cheng Tan, Chenhao Xie, Ang Li, Kevin J. Barker, Antonino Tumeo
OpenCGRA: An Open-Source Unified Framework for Modeling, Testing, and Evaluating CGRAs. ICCD (2020)
Jiajia Li, Mahesh Lakshminarasimhan, Xiaolong Wu, Ang Li, Catherine Olschanowsky, Kevin J. Barker
A Parallel Sparse Tensor Benchmark Suite on CPUs and GPUs. CoRR (2020)
Jiajia Li, Mahesh Lakshminarasimhan, Xiaolong Wu, Ang Li, Catherine Olschanowsky, Kevin J. Barker
A parallel sparse tensor benchmark suite on CPUs and GPUs. PPoPP (2020)
Cheng Tan, Chenhao Xie, Andres Marquez, Antonino Tumeo, Kevin J. Barker, Ang Li
ARENA: Asynchronous Reconfigurable Accelerator Ring to Enable Data-Centric Parallel Computing. CoRR (2020)
Jesun Sahariar Firoz, Ang Li, Jiajia Li, Kevin J. Barker
On the Feasibility of Using Reduced-Precision Tensor Core Operations for Graph Analytics. HPEC (2020)
Xu T. Liu, Mahantesh Halappanavar, Kevin J. Barker, Andrew Lumsdaine, Assefaw H. Gebremedhin
Direction-optimizing label propagation and its application to community detection. CF (2020)
Jiajia Li, Mahesh Lakshminarasimhan, Xiaolong Wu, Ang Li, Catherine Olschanowsky, Kevin J. Barker
A Sparse Tensor Benchmark Suite for CPUs and GPUs. IISWC (2020)
Ang Li, Shuaiwen Leon Song, Jieyang Chen, Jiajia Li, Xu Liu, Nathan R. Tallent, Kevin J. Barker
Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect. IEEE Trans. Parallel Distributed Syst. 31 (1) (2020)
Jiajia Li, Yuchen Ma, Xiaolong Wu, Ang Li, Kevin J. Barker
PASTA: a parallel sparse tensor algorithm benchmark suite. CCF Trans. High Perform. Comput. 1 (2) (2019)
Pengfei Zou, Ang Li, Kevin J. Barker, Rong Ge
Fingerprinting Anomalous Computation with RNN for GPU-accelerated HPC Machines. IISWC (2019)
Jiajia Li, Bora Uçar, Ümit V. Çatalyürek, Jimeng Sun, Kevin J. Barker, Richard W. Vuduc
Efficient and effective sparse tensor reordering. ICS (2019)
Jiajia Li, Yuchen Ma, Xiaolong Wu, Ang Li, Kevin J. Barker
PASTA: A Parallel Sparse Tensor Algorithm Benchmark Suite. CoRR (2019)
Ang Li, Tong Geng, Tianqi Wang, Martin C. Herbordt, Shuaiwen Leon Song, Kevin J. Barker
BSTC: a novel binarized-soft-tensor-core design for accelerating bit-based approximated neural nets. SC (2019)
Ang Li, Shuaiwen Leon Song, Jieyang Chen, Jiajia Li, Xu Liu, Nathan R. Tallent, Kevin J. Barker
Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect. CoRR (2019)
Xu Liu, Jesun Sahariar Firoz, Marcin Zalewski, Mahantesh Halappanavar, Kevin J. Barker, Andrew Lumsdaine, Assefaw H. Gebremedhin
Distributed Direction-Optimizing Label Propagation for Community Detection. HPEC (2019)
Ryan D. Friese, Nathan R. Tallent, Malachi Schram, Mahantesh Halappanavar, Kevin J. Barker
Optimizing Distributed Data-Intensive Workflows. CLUSTER (2018)
Ang Li, Weifeng Liu, Linnan Wang, Kevin J. Barker, Shuaiwen Leon Song
Warp-Consolidation: A Novel Execution Model for GPUs. ICS (2018)
Ang Li, Shuaiwen Leon Song, Jieyang Chen, Xu Liu, Nathan R. Tallent, Kevin J. Barker
Tartan: Evaluating Modern GPU Interconnect via a Multi-GPU Benchmark Suite. IISWC (2018)
Joshua Landwehr, Joshua Suetterlein, Joseph B. Manzano, Andrès Márquez, Kevin J. Barker, Guang R. Gao
Designing Scalable Distributed Memory Models: A Case Study. Conf. Computing Frontiers (2017)
Joshua Suetterlein, Joshua Landwehr, Andres Marquez, Joseph B. Manzano, Kevin J. Barker, Guang R. Gao
Verification of the Extended Roofline Model for Asynchronous Many Task Runtimes. ESPM2@SC (2017)
Kevin J. Barker, Darren J. Kerbyson
Modeling the Performance and Energy Impact of Dynamic Power Steering. IPDPS Workshops (2016)
Nathan R. Tallent, Kevin J. Barker, Daniel G. Chavarría-Miranda, Antonino Tumeo, Mahantesh Halappanavar, Andrès Márquez, Darren J. Kerbyson, Adolfy Hoisie
Modeling the Impact of Silicon Photonics on Graph Analytics. NAS (2016)
Nathan R. Tallent, Kevin J. Barker, Roberto Gioiosa, Andrès Márquez, Gokcen Kestor, Leon Song, Antonino Tumeo, Darren J. Kerbyson, Adolfy Hoisie
Assessing Advanced Technology in CENATE. NAS (2016)
Kevin J. Barker, Christopher D. Carothers, Eric Van Hensbergen
LSPP Introduction and Committees. IPDPS Workshops (2016)
Mahantesh Halappanavar, Malachi Schram, Luis de la Torre, Kevin J. Barker, Nathan R. Tallent, Darren J. Kerbyson
Towards efficient scheduling of data intensive high energy physics workflows. WORKS@SC (2015)
Yang You, Shuaiwen Leon Song, Haohuan Fu, Andres Marquez, Maryam Mehri Dehnavi, Kevin J. Barker, Kirk W. Cameron, Amanda Peters Randles, Guangwen Yang
MIC-SVM: Designing a Highly Efficient Support Vector Machine for Advanced Modern Multi-core and Many-Core Architectures. IPDPS (2014)
Darren J. Kerbyson, Kevin J. Barker, Abhinav Vishnu, Adolfy Hoisie
A performance comparison of current HPC systems: Blue Gene/Q, Cray XE6 and InfiniBand systems. Future Gener. Comput. Syst. 30 (2014)
Kevin J. Barker, Darren J. Kerbyson, Eric Anger
On the feasibility of dynamic power steering. E2SC@SC (2014)
Darren J. Kerbyson, Kevin J. Barker, Diego S. Gallo, Dong Chen, José R. Brunheroto, Kyung Dong Ryu, George L.-T. Chiu, Adolfy Hoisie
Tracking the Performance Evolution of Blue Gene Systems. ISC (2013)
Darren J. Kerbyson, Kevin J. Barker, Diego S. Gallo, Dong Chen, José R. Brunheroto, Kyung Dong Ryu, George L.-T. Chiu, Adolfy Hoisie
A Performance Analysis of Three Generations of Blue gene. Parallel Process. Lett. 23 (4) (2013)
Abhinav Vishnu, Shuaiwen Song, Andres Marquez, Kevin J. Barker, Darren J. Kerbyson, Kirk W. Cameron, Pavan Balaji
Designing energy efficient communication runtime systems: a view from PGAS models. J. Supercomput. 63 (3) (2013)
Abhinav Vishnu, Darren J. Kerbyson, Kevin J. Barker, Hubertus Van Dam
Building Scalable PGAS Communication Subsystem on Blue Gene/Q. IPDPS Workshops (2013)
Shuaiwen Leon Song, Kevin J. Barker, Darren J. Kerbyson
Unified performance and power modeling of scientific workloads. E2SC@SC (2013)
Darren J. Kerbyson, Kevin J. Barker, Abhinav Vishnu, Adolfy Hoisie
Comparing the Performance of Blue Gene/Q with Leading Cray XE6 and InfiniBand Systems. ICPADS (2012)
Darren J. Kerbyson, Kevin J. Barker
Analyzing the Performance Bottlenecks of the POWER7-IH Network. CLUSTER (2011)
Darren J. Kerbyson, Abhinav Vishnu, Kevin J. Barker, Adolfy Hoisie
Codesign Challenges for Exascale Systems: Performance, Power, and Reliability. Computer 44 (11) (2011)
Darren J. Kerbyson, Kevin J. Barker
Modeling the Performance of Direct numerical Simulation on Parallel Systems. Parallel Process. Lett. 21 (3) (2011)
Darren J. Kerbyson, Kevin J. Barker
A Performance Model of Direct Numerical Simulation for Analyzing Large-Scale Systems. IPDPS Workshops (2011)
Kevin J. Barker, Adolfy Hoisie, Darren J. Kerbyson
An early performance analysis of POWER7-IH HPC systems. SC (2011)
Darren J. Kerbyson, Abhinav Vishnu, Kevin J. Barker
Energy Templates: Exploiting Application Information to Save Energy. CLUSTER (2011)
Abhinav Vishnu, Shuaiwen Song, Andres Marquez, Kevin J. Barker, Darren J. Kerbyson, Kirk W. Cameron, Pavan Balaji
Designing Energy Efficient Communication Runtime Systems for Data Centric Programming Models. GreenCom/CPSCom (2010)
Hikmet Dursun, Kevin J. Barker, Darren J. Kerbyson, Scott Pakin
Application profiling on Cell-based clusters. IPDPS (2009)
Kevin J. Barker, Kei Davis, Adolfy Hoisie, Darren J. Kerbyson, Michael Lang, Scott Pakin, José Carlos Sancho
Using Performance Modeling to Design Large-Scale Systems. Computer 42 (11) (2009)
Hikmet Dursun, Kevin J. Barker, Darren J. Kerbyson, Scott Pakin, Richard Seymour, Rajiv K. Kalia, Aiichiro Nakano, Priya Vashishta
An MPI Performance Monitoring Interface for Cell Based Compute Nodes. Parallel Process. Lett. 19 (4) (2009)
Kei Davis, Kevin J. Barker, Darren J. Kerbyson
Performance Prediction via Modeling: a Case Study of the ORNL Cray XT4 Upgrade. Parallel Process. Lett. 19 (4) (2009)
Kevin J. Barker, Kei Davis, Darren J. Kerbyson
Performance modeling in action: Performance prediction of a Cray XT4 system during upgrade. IPDPS (2009)
Kevin J. Barker, Kei Davis, Adolfy Hoisie, Darren J. Kerbyson, Michael Lang, Scott Pakin, José Carlos Sancho
A Performance Evaluation of the Nehalem Quad-Core Processor for Scientific Computing. Parallel Process. Lett. 18 (4) (2008)
Kevin J. Barker, Kei Davis, Adolfy Hoisie, Darren J. Kerbyson, Michael Lang, Scott Pakin, José Carlos Sancho
Experiences in scaling scientific applications on current-generation quad-core processors. IPDPS (2008)
Kevin J. Barker, Kei Davis, Adolfy Hoisie, Darren J. Kerbyson, Michael Lang, Scott Pakin, José Carlos Sancho
Entering the petaflop era: the architecture and performance of Roadrunner. SC (2008)
Kevin J. Bowers, Brian J. Albright, Ben Bergen, Lin Yin, Kevin J. Barker, Darren J. Kerbyson
0.374 Pflop/s trillion-particle kinetic modeling of laser plasma interaction on Roadrunner. SC (2008)
José Carlos Sancho, Darren J. Kerbyson, Kevin J. Barker
Efficient offloading of collective communications in large-scale systems. CLUSTER (2007)
Kevin J. Barker, Darren J. Kerbyson
Performance Analysis of an Optical Circuit Switched Network for Peta-Scale Systems. Euro-Par (2007)
Darren J. Kerbyson, Kevin J. Barker, Kei Davis
Analysis of the Weather Research and Forecasting (WRF) Model on Large-Scale Systems. PARCO (2007)
José Carlos Sancho, Kevin J. Barker, Darren J. Kerbyson, Kei Davis
MPI tools and performance studies - Quantifying the potential benefit of overlapping communication and computation in large-scale scientific applications. SC (2006)
Kevin J. Barker, Scott Pakin, Darren J. Kerbyson
A Performance Model of the Krak Hydrodynamics Application. ICPP (2006)
Darren J. Kerbyson, Kevin J. Barker
Automatic Identification of Application Communication Patterns via Templates. PDCS (2005)
Kevin J. Barker, Darren J. Kerbyson
A Performance Model and Scalability Analysis of the HYCOM Ocean Simulation Application. IASTED PDCS (2005)
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
On the Feasibility of Optical Circuit Switching for High Performance Computing Systems. SC (2005)
Kevin J. Barker, Nikos Chrisochoides
Practical Performance Model for Optimizing Dynamic Load Balancing of Adaptive Applications. IPDPS (2005)
Mahadevan Balasubramaniam, Kevin J. Barker, Ioana Banicescu, Nikos Chrisochoides, Jaderick P. Pabico, Ricolindo Cariño
A Novel Dynamic Load Balancing Library for Cluster Computing. ISPDC/HeteroPar (2004)
Kevin J. Barker, Andrey N. Chernikov, Nikos Chrisochoides, Keshav Pingali
A Load Balancing Framework for Adaptive and Asynchronous Applications. IEEE Trans. Parallel Distributed Syst. 15 (2) (2004)
Kevin J. Barker, Nikos Chrisochoides
An Evaluation of a Framework for the Dynamic Load Balancing of Highly Adaptive and Irregular Parallel Applications. SC (2003)
Kevin J. Barker, Nikos Chrisochoides, Jeffrey Dobbelaere, Démian Nave, Keshav Pingali
Date movement and control substrate for parallel adaptive applications. Concurr. Comput. Pract. Exp. 14 (2) (2002)
Nikos Chrisochoides, Kevin J. Barker, Démian Nave, Chris Hawblitzel
The Mobile Object Layer: A Run-Time Substrate for Mobile Adaptive Computations. ISCOPE (1998)