Kevin J. Barker
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
38
Venues
18
Active years
2003–2025
Best venue rank
A*
Where they publish
Papers
38 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CCGRID | Scaling Laws for the Workload Throughput of Emerging Heterogeneous Clusters. | Akhil Alasandagutti, Joshua Suetterlein, Jesun Firoz, Stephen J. Young, Joseph B. Manzano, Jason R. Stewart, Patrick G. Bridges, Trilce Estrada, Kevin J. Barker |
| 2024 | CLUSTER | Understanding Mixed Precision GEMM with MPGemmFI: Insights into Fault Resilience. | 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 |
| 2024 | ISPASS | Automatic Extraction of Network Configurations for Realistic Simulation and Validation. | Joshua Suetterlein, Stephen J. Young, Jesun Firoz, Joseph B. Manzano, Ryan D. Friese, Nathan R. Tallent, Kevin J. Barker, Timothy Stavenger |
| 2024 | SBAC-PAD | A Performance and Energy Study of GPU-Resident Preconditioners for Conjugate Gradient Solvers: In the Context of Existing and Novel Approaches. | Kasia Swirydowicz, Jesun Firoz, Joseph B. Manzano, Mahantesh Halappanavar, Stephen Thomas, Kevin J. Barker |
| 2024 | SRDS | HAppA: A Modular Platform for HPC Application Resilience Analysis with LLMs Embedded. | Hailong Jiang, Jianfeng Zhu, Bo Fang, Kevin J. Barker, Chao Chen, Ruoming Jin, Qiang Guan |
| 2023 | ICISSP | Assessing Risk in High Performance Computing Attacks. | Erika A. Leal, Cimone Wright-Hamor, Joseph B. Manzano, Nicholas J. Multari, Kevin J. Barker, David O. Manz, Jiang Ming |
| 2023 | ISCA | Spy in the GPU-box: Covert and Side Channel Attacks on Multi-GPU Systems. | Sankha Baran Dutta, Hoda Naghibijouybari, Arjun Gupta, Nael B. Abu-Ghazaleh, Andres Marquez, Kevin J. Barker |
| 2023 | OSDI | MGG: Accelerating Graph Neural Networks with Fine-Grained Intra-Kernel Communication-Computation Pipelining on Multi-GPU Platforms. | Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Kevin J. Barker, Ang Li, Yufei Ding |
| 2022 | HPCA | DRIPS: Dynamic Rebalancing of Pipelined Streaming Applications on CGRAs. | Cheng Tan, Nicolas Bohm Agostini, Tong Geng, Chenhao Xie, Jiajia Li, Ang Li, Kevin J. Barker, Antonino Tumeo |
| 2021 | DATE | AURORA: Automated Refinement of Coarse-Grained Reconfigurable Accelerators. | Cheng Tan, Chenhao Xie, Ang Li, Kevin J. Barker, Antonino Tumeo |
| 2021 | ICCD | DynPaC: Coarse-Grained, Dynamic, and Partially Reconfigurable Array for Streaming Applications. | Cheng Tan, Tong Geng, Chenhao Xie, Nicolas Bohm Agostini, Jiajia Li, Ang Li, Kevin J. Barker, Antonino Tumeo |
| 2021 | ICPP | Fast and Scalable Sparse Triangular Solver for Multi-GPU Based HPC Architectures. | Chenhao Xie, Jieyang Chen, Jesun Firoz, Jiajia Li, Shuaiwen Leon Song, Kevin J. Barker, Mark Raugas, Ang Li |
| 2021 | ISCA | Leaky Buddies: Cross-Component Covert Channels on Integrated CPU-GPU Systems. | Sankha Baran Dutta, Hoda Naghibijouybari, Nael B. Abu-Ghazaleh, Andres Marquez, Kevin J. Barker |
| 2020 | CCGRID | Indicator-Directed Dynamic Power Management for Iterative Workloads on GPU-Accelerated Systems. | Pengfei Zou, Ang Li, Kevin J. Barker, Rong Ge |
| 2020 | ICCD | OpenCGRA: An Open-Source Unified Framework for Modeling, Testing, and Evaluating CGRAs. | Cheng Tan, Chenhao Xie, Ang Li, Kevin J. Barker, Antonino Tumeo |
| 2020 | ICPP | Detecting Anomalous Computation with RNNs on GPU-Accelerated HPC Machines. | Pengfei Zou, Ang Li, Kevin J. Barker, Rong Ge |
| 2020 | PPoPP | A parallel sparse tensor benchmark suite on CPUs and GPUs. | Jiajia Li, Mahesh Lakshminarasimhan, Xiaolong Wu, Ang Li, Catherine Olschanowsky, Kevin J. Barker |
| 2019 | ICS | Efficient and effective sparse tensor reordering. | Jiajia Li, Bora Uar, mit V. atalyrek, Jimeng Sun, Kevin J. Barker, Richard W. Vuduc |
| 2019 | SC | BSTC: a novel binarized-soft-tensor-core design for accelerating bit-based approximated neural nets. | Ang Li, Tong Geng, Tianqi Wang, Martin C. Herbordt, Shuaiwen Leon Song, Kevin J. Barker |
| 2018 | CLUSTER | Optimizing Distributed Data-Intensive Workflows. | Ryan D. Friese, Nathan R. Tallent, Malachi Schram, Mahantesh Halappanavar, Kevin J. Barker |
| 2018 | ICS | Warp-Consolidation: A Novel Execution Model for GPUs. | Ang Li, Weifeng Liu, Linnan Wang, Kevin J. Barker, Shuaiwen Leon Song |
| 2017 | SC | Verification of the Extended Roofline Model for Asynchronous Many Task Runtimes. | Joshua Suetterlein, Joshua Landwehr, Andres Marquez, Joseph B. Manzano, Kevin J. Barker, Guang R. Gao |
| 2015 | SC | Towards efficient scheduling of data intensive high energy physics workflows. | Mahantesh Halappanavar, Malachi Schram, Luis de la Torre, Kevin J. Barker, Nathan R. Tallent, Darren J. Kerbyson |
| 2014 | SC | On the feasibility of dynamic power steering. | Kevin J. Barker, Darren J. Kerbyson, Eric Anger |
| 2013 | SC | Unified performance and power modeling of scientific workloads. | Shuaiwen Leon Song, Kevin J. Barker, Darren J. Kerbyson |
| 2012 | ICPADS | Comparing the Performance of Blue Gene/Q with Leading Cray XE6 and InfiniBand Systems. | Darren J. Kerbyson, Kevin J. Barker, Abhinav Vishnu, Adolfy Hoisie |
| 2011 | CLUSTER | Analyzing the Performance Bottlenecks of the POWER7-IH Network. | Darren J. Kerbyson, Kevin J. Barker |
| 2011 | CLUSTER | Energy Templates: Exploiting Application Information to Save Energy. | Darren J. Kerbyson, Abhinav Vishnu, Kevin J. Barker |
| 2011 | SC | An early performance analysis of POWER7-IH HPC systems. | Kevin J. Barker, Adolfy Hoisie, Darren J. Kerbyson |
| 2008 | SC | Entering the petaflop era: the architecture and performance of Roadrunner. | Kevin J. Barker, Kei Davis, Adolfy Hoisie, Darren J. Kerbyson, Michael Lang, Scott Pakin, Jos Carlos Sancho |
| 2008 | SC | 0.374 Pflop/s trillion-particle kinetic modeling of laser plasma interaction on Roadrunner. | Kevin J. Bowers, Brian J. Albright, Ben Bergen, Lin Yin, Kevin J. Barker, Darren J. Kerbyson |
| 2007 | CLUSTER | Efficient offloading of collective communications in large-scale systems. | Jos Carlos Sancho, Darren J. Kerbyson, Kevin J. Barker |
| 2007 | EuroPar | Performance Analysis of an Optical Circuit Switched Network for Peta-Scale Systems. | Kevin J. Barker, Darren J. Kerbyson |
| 2006 | ICPP | A Performance Model of the Krak Hydrodynamics Application. | Kevin J. Barker, Scott Pakin, Darren J. Kerbyson |
| 2006 | SC | MPI tools and performance studies - Quantifying the potential benefit of overlapping communication and computation in large-scale scientific applications. | Jos Carlos Sancho, Kevin J. Barker, Darren J. Kerbyson, Kei Davis |
| 2005 | SC | On the Feasibility of Optical Circuit Switching for High Performance Computing Systems. | 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 |
| 2004 | ISPDC | A Novel Dynamic Load Balancing Library for Cluster Computing. | Mahadevan Balasubramaniam, Kevin J. Barker, Ioana Banicescu, Nikos Chrisochoides, Jaderick P. Pabico, Ricolindo Cario |
| 2003 | SC | An Evaluation of a Framework for the Dynamic Load Balancing of Highly Adaptive and Irregular Parallel Applications. | Kevin J. Barker, Nikos Chrisochoides |