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Journal Articles

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2023
[j17]
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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): 7-14 (2023)
[j16]
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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: 53-67 (2023)
2022
[j15]
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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: 1.12:1-1.12:31 (2022)
2021
[j14]
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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): 2880-2892 (2021)
2020
[j13]
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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): 94-110 (2020)
2019
[j12]
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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): 111-130 (2019)
2014
[j11]
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  - journals/fgcs/KerbysonBVH14
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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: 291-304 (2014)
2013
[j10]
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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)
[j9]
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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): 691-709 (2013)
2011
[j8]
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Darren J. Kerbyson, Abhinav Vishnu, Kevin J. Barker, Adolfy Hoisie:
Codesign Challenges for Exascale Systems: Performance, Power, and Reliability. Computer 44(11): 37-43 (2011)
[j7]
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Darren J. Kerbyson, Kevin J. Barker:
Modeling the Performance of Direct numerical Simulation on Parallel Systems. Parallel Process. Lett. 21(3): 301-318 (2011)
2009
[j6]
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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): 42-49 (2009)
[j5]
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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): 535-552 (2009)
[j4]
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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): 619-639 (2009)
2008
[j3]
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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): 453-469 (2008)
2004
[j2]
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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): 183-192 (2004)
2002
[j1]
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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): 77-101 (2002)

Conference and Workshop Papers

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2024
[c64]
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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
[c63]
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  - conf/ispass/SuetterleinYFMF24
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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: 310-312
[c62]
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  - conf/wosp/PengDGCB024
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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: 14-20
2023
[c61]
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Stephen J. Young, Joshua Suetterlein, Jesun Firoz, Joseph B. Manzano, Kevin J. Barker:
Finding Your Niche: An Evolutionary Approach to HPC Topologies. HPEC 2023: 1-9
[c60]
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  - conf/icissp/LealWMMBM023
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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: 793-803
[c59]
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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: 45:1-45:13
[c58]
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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: 779-795
2022
[c57]
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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: 47-52
[c56]
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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: 304-316
[c55]
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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: 515-525
2021
[c54]
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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: 149-155
[c53]
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Cheng Tan, Chenhao Xie, Ang Li, Kevin J. Barker, Antonino Tumeo:
AURORA: Automated Refinement of Coarse-Grained Reconfigurable Accelerators. DATE 2021: 1388-1393
[c52]
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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: 33-40
[c51]
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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: 53:1-53:11
[c50]
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  - conf/isca/DuttaNAMB21
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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: 972-984
2020
[c49]
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  - conf/ccgrid/ZouLB020
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Pengfei Zou, Ang Li, Kevin J. Barker, Rong Ge:
Indicator-Directed Dynamic Power Management for Iterative Workloads on GPU-Accelerated Systems. CCGRID 2020: 559-568
[c48]
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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: 192-201
[c47]
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  - conf/hpec/FirozLLB20
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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: 1-7
[c46]
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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: 381-388
[c45]
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Pengfei Zou, Ang Li, Kevin J. Barker, Rong Ge:
Detecting Anomalous Computation with RNNs on GPU-Accelerated HPC Machines. ICPP 2020: 52:1-52:11
[c44]
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  - conf/iiswc/LiLWLOB20
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Jiajia Li, Mahesh Lakshminarasimhan, Xiaolong Wu, Ang Li, Catherine Olschanowsky, Kevin J. Barker:
A Sparse Tensor Benchmark Suite for CPUs and GPUs. IISWC 2020: 193-204
[c43]
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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: 403-404
2019
[c42]
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  - conf/hpec/0001FZHBLG19
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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: 1-6
[c41]
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Jiajia Li, Bora Uçar, Ümit V. Çatalyürek, Jimeng Sun, Kevin J. Barker, Richard W. Vuduc:
Efficient and effective sparse tensor reordering. ICS 2019: 227-237
[c40]
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  - conf/iiswc/ZouLB019
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Pengfei Zou, Ang Li, Kevin J. Barker, Rong Ge:
Fingerprinting Anomalous Computation with RNN for GPU-accelerated HPC Machines. IISWC 2019: 253-256
[c39]
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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: 38:1-38:30
2018
[c38]
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  - conf/cluster/FrieseTSHB18
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Ryan D. Friese, Nathan R. Tallent, Malachi Schram, Mahantesh Halappanavar, Kevin J. Barker:
Optimizing Distributed Data-Intensive Workflows. CLUSTER 2018: 279-289
[c37]
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Ang Li, Weifeng Liu, Linnan Wang, Kevin J. Barker, Shuaiwen Leon Song:
Warp-Consolidation: A Novel Execution Model for GPUs. ICS 2018: 53-64
[c36]
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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: 191-202
2017
[c35]
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  - conf/cf/LandwehrSMMBG17
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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: 174-182
[c34]
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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: 6:1-6:8
2016
[c33]
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  - conf/ipps/BarkerCH16
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Kevin J. Barker, Christopher D. Carothers, Eric Van Hensbergen:
LSPP Introduction and Committees. IPDPS Workshops 2016: 1339
[c32]
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Kevin J. Barker, Darren J. Kerbyson:
Modeling the Performance and Energy Impact of Dynamic Power Steering. IPDPS Workshops 2016: 1380-1389
[c31]
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  - conf/nas/TallentBCTHMKH16
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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: 1-11
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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: 1-2
2015
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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: 3:1-3:9
2014
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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: 809-818
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Kevin J. Barker, Darren J. Kerbyson, Eric Anger:
On the feasibility of dynamic power steering. E2SC@SC 2014: 60-69
2013
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Abhinav Vishnu, Darren J. Kerbyson, Kevin J. Barker, Hubertus Van Dam:
Building Scalable PGAS Communication Subsystem on Blue Gene/Q. IPDPS Workshops 2013: 825-833
[c25]
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Shuaiwen Leon Song, Kevin J. Barker, Darren J. Kerbyson:
Unified performance and power modeling of scientific workloads. E2SC@SC 2013: 4:1-4:8
[c24]
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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: 317-329
2012
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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: 556-563
2011
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Darren J. Kerbyson, Abhinav Vishnu, Kevin J. Barker:
Energy Templates: Exploiting Application Information to Save Energy. CLUSTER 2011: 225-233
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Darren J. Kerbyson, Kevin J. Barker:
Analyzing the Performance Bottlenecks of the POWER7-IH Network. CLUSTER 2011: 244-252
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Darren J. Kerbyson, Kevin J. Barker:
A Performance Model of Direct Numerical Simulation for Analyzing Large-Scale Systems. IPDPS Workshops 2011: 1824-1830
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Kevin J. Barker, Adolfy Hoisie, Darren J. Kerbyson:
An early performance analysis of POWER7-IH HPC systems. SC 2011: 42:1-42:11
2010
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  - conf/greencom/VishnuSMBKCB10
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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: 229-236
2009
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Kevin J. Barker, Kei Davis, Darren J. Kerbyson:
Performance modeling in action: Performance prediction of a Cray XT4 system during upgrade. IPDPS 2009: 1-8
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Hikmet Dursun, Kevin J. Barker, Darren J. Kerbyson, Scott Pakin:
Application profiling on Cell-based clusters. IPDPS 2009: 1-8
2008
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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: 1-8
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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: 1
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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: 63
2007
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José Carlos Sancho, Darren J. Kerbyson, Kevin J. Barker:
Efficient offloading of collective communications in large-scale systems. CLUSTER 2007: 169-178
[c11]
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Kevin J. Barker, Darren J. Kerbyson:
Performance Analysis of an Optical Circuit Switched Network for Peta-Scale Systems. Euro-Par 2007: 858-867
[c10]
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Darren J. Kerbyson, Kevin J. Barker, Kei Davis:
Analysis of the Weather Research and Forecasting (WRF) Model on Large-Scale Systems. PARCO 2007: 89-98
2006
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Kevin J. Barker, Scott Pakin, Darren J. Kerbyson:
A Performance Model of the Krak Hydrodynamics Application. ICPP 2006: 245-254
[c8]
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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: 125
2005
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Darren J. Kerbyson, Kevin J. Barker:
Automatic Identification of Application Communication Patterns via Templates. PDCS 2005: 114-121
[c6]
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Kevin J. Barker, Nikos Chrisochoides:
Practical Performance Model for Optimizing Dynamic Load Balancing of Adaptive Applications. IPDPS 2005
[c5]
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Kevin J. Barker, Darren J. Kerbyson:
A Performance Model and Scalability Analysis of the HYCOM Ocean Simulation Application. IASTED PDCS 2005: 650-658
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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: 16
2004
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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: 346-353
2003
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Kevin J. Barker, Nikos Chrisochoides:
An Evaluation of a Framework for the Dynamic Load Balancing of Highly Adaptive and Irregular Parallel Applications. SC 2003: 45
1998
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Nikos Chrisochoides, Kevin J. Barker, Démian Nave, Chris Hawblitzel:
The Mobile Object Layer: A Run-Time Substrate for Mobile Adaptive Computations. ISCOPE 1998: 71-82

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2013
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Kirk W. Cameron, Darren J. Kerbyson, Andres Marquez, Dimitrios S. Nikolopoulos, Sudha Yalamanchili, Kevin J. Barker:
Proceedings of the 1st International Workshop on Energy Efficient Supercomputing, E2SC 2013, Denver, Colorado, USA, November 17-21, 2013. ACM 2013, ISBN 978-1-4503-2504-2 [contents]

Informal and Other Publications

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2023
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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 abs/2311.04417 (2023)
[i12]
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  - journals/corr/abs-2311-05782
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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:
MPGemmFI: A Fault Injection Technique for Mixed Precision GEMM in ML Applications. CoRR abs/2311.05782 (2023)
2022
[i11]
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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 abs/2201.08560 (2022)
[i10]
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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 abs/2203.15981 (2022)
[i9]
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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 abs/2209.06800 (2022)
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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 abs/2209.07552 (2022)
2021
[i7]
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  - journals/corr/abs-2109-08758
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Omer Subasi, Joseph B. Manzano, Kevin J. Barker:
Denial-of-Service Attack Detection via Differential Analysis of Generalized Entropy Progressions. CoRR abs/2109.08758 (2021)
2020
[i6]
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  - journals/corr/abs-2001-00660
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Jiajia Li, Mahesh Lakshminarasimhan, Xiaolong Wu, Ang Li, Catherine Olschanowsky, Kevin J. Barker:
A Parallel Sparse Tensor Benchmark Suite on CPUs and GPUs. CoRR abs/2001.00660 (2020)
[i5]
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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 abs/2011.04931 (2020)
[i4]
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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 abs/2011.09642 (2020)
[i3]
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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 abs/2012.06959 (2020)
2019
[i2]
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Jiajia Li, Yuchen Ma, Xiaolong Wu, Ang Li, Kevin J. Barker:
PASTA: A Parallel Sparse Tensor Algorithm Benchmark Suite. CoRR abs/1902.03317 (2019)
[i1]
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  - journals/corr/abs-1903-04611
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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 abs/1903.04611 (2019)

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