BibBase walters, j
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  2022 (1)
PipeEdge: Pipeline Parallelism for Large-Scale Model Inference on Heterogeneous Edge Devices. Hu, Y.; Imes, C.; Zhao, X.; Kundu, S.; Beerel, P. A.; Crago, S. P.; and Walters, J. P. In 2022 25th Euromicro Conference on Digital System Design (DSD), pages 298-307, 2022.
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  2021 (3)
Demonstration of a fully neural network based synthetic aperture radar processing pipeline for image formation and analysis. Rittenbach, A.; and Walters, J. P. In Sensors, Systems, and Next-Generation Satellites XXV, volume 11858, pages 79–90, 2021. SPIE
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Pipeline Parallelism for Inference on Heterogeneous Edge Computing. Hu, Y.; Imes, C.; Zhao, X.; Kundu, S.; Beerel, P. A; Crago, S. P; and Walters, J. P. N arXiv preprint arXiv:2110.14895, 2021.
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Distributed and Heterogeneous SAR Backprojection with Halide. Imes, C.; Li, T.; Glines, M.; Khan, R.; and Walters, J. P. In 2021 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–9, 2021. IEEE
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  2020 (4)
RDAnet: A Deep Learning Based Approach for Synthetic Aperture Radar Image Formation. Rittenbach, A.; and Walters, J. P. arXiv preprint arXiv:2001.08202, 2020.
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A Case Study and Characterization of a Many-socket, Multi-tier NUMA HPC Platform. Imes, C.; Hofmeyr, S.; Kang, D. I. D; and Walters, J. P. In 2020 IEEE/ACM 6th Workshop on the LLVM Compiler Infrastructure in HPC (LLVM-HPC) and Workshop on Hierarchical Parallelism for Exascale Computing (HiPar), pages 74–84, 2020. IEEE
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Compiler abstractions and runtime for extreme-scale sar and cfd workloads. Imes, C.; Colin, A.; Zhang, N.; Srivastava, A.; Prasanna, V.; and Walters, J. P. In 2020 IEEE/ACM Fifth International Workshop on Extreme Scale Programming Models and Middleware (ESPM2), pages 1–7, 2020. IEEE
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Scalable parallel file write from a large numa system. Kang, D. I. D; Walters, J. P.; and Crago, S. P HPEC. 2020.
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  2019 (2)
Computational requirements for real-time ptychographic image reconstruction. Datta, K.; Rittenbach, A.; Kang, D.; Walters, J. P.; Crago, S. P; and Damoulakis, J. Applied Optics, 58(7): B19–B27. 2019.
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Increased Fault-Tolerance and Real-Time Performance Resiliency for Stream Processing Workloads through Redundancy. Tran, G. P.; Walters, J. P.; and Crago, S. In 2019 IEEE International Conference on Services Computing (SCC), pages 51–55, 2019. IEEE
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  2018 (2)
Reducing tail latencies while improving resiliency to timing errors for stream processing workloads. Tran, G. P.; Walters, J. P.; and Crago, S. In 2018 IEEE/ACM 11th International Conference on Utility and Cloud Computing (UCC), pages 194–203, 2018. IEEE
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Pacer: Automated Feedback-Based Vertical Elasticity for Heterogeneous Soft Real-Time Workloads. Chen, Y.; Tran, G. P. C; Rittenbach, A. J; Walters, J. P.; and Crago, S. In 2018 IEEE/ACM 11th International Conference on Utility and Cloud Computing (UCC), pages 73–82, 2018. IEEE
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  2017 (3)
A comparison of system performance on a private openstack cloud and amazon ec2. Kang, M.; Kang, D.; Walters, J. P.; and Crago, S. P In 2017 IEEE 10th International Conference on Cloud Computing (CLOUD), pages 310–317, 2017. IEEE
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Dynamically Improving Resiliency to Timing Errors for Stream Processing Workloads. Tran, G. P. C; Walters, J. P.; and Crago, S. P In 2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT), pages 469–476, 2017. IEEE
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Load balancing for minimizing deadline misses and total runtime for connected car systems in fog computing. Chen, Y.; Walters, J. P.; and Crago, S. P In 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), pages 683–690, 2017. IEEE
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  2016 (2)
Automated demand-based vertical elasticity for heterogeneous real-time workloads. Tran, G. P. C; Chen, Y.; Kang, D.; Walters, J. P.; and Crago, S. P In 2016 IEEE 9th International Conference on Cloud Computing (CLOUD), pages 831–834, 2016. IEEE
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Hypervisor performance analysis for real-time workloads. Tran, G. P. C; Chen, Y.; Kang, D.; Walters, J. P.; and Crago, S. P In 2016 IEEE High Performance Extreme Computing Conference (HPEC), pages 1–7, 2016. IEEE
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  2015 (2)
Supporting high performance molecular dynamics in virtualized clusters using iommu, sr-iov, and gpudirect. Younge, A. J; Walters, J. P.; Crago, S. P; and Fox, G. C ACM SIGPLAN Notices, 50(7): 31–38. 2015.
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Heterogeneous cloud computing: The way forward. Crago, S. P; and Walters, J. P. Computer, 48(1): 59–61. 2015.
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  2014 (3)
Bridging the virtualization performance gap for HPC using SR-IOV for InfiniBand. Musleh, M.; Pai, V.; Walters, J. P.; Younge, A.; and Crago, S. In 2014 IEEE 7th International Conference on Cloud Computing, pages 627–635, 2014. IEEE
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GPU passthrough performance: A comparison of KVM, Xen, VMWare ESXi, and LXC for CUDA and OpenCL applications. Walters, J. P.; Younge, A. J; Kang, D. I.; Yao, K. T.; Kang, M.; Crago, S. P; and Fox, G. C In 2014 IEEE 7th international conference on cloud computing, pages 636–643, 2014. IEEE
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Evaluating GPU passthrough in Xen for high performance cloud computing. Younge, A. J; Walters, J. P.; Crago, S.; and Fox, G. C In 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, pages 852–859, 2014. IEEE
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  2013 (2)
A practical characterization of a NASA SpaceCube application through fault emulation and laser testing. Walters, J. P.; Zick, K. M; and French, M. In 2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), pages 1–8, 2013. IEEE
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Enabling high performance computing in cloud infrastructure using virtualized GPUs. Younge, A. J; Walters, J. P.; Crago, S.; and Fox, G. C 2013.
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  2012 (5)
Applying radiation hardening by software to fast lossless compression prediction on FPGAs. Schmidt, A. G; Walters, J. P.; Zick, K. M; French, M.; Keymeulen, D.; Aranki, N.; Klimesh, M.; and Kiely, A. In 2012 IEEE Aerospace Conference, pages 1–10, 2012. IEEE
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Silent data corruption and embedded processing with NASA's SpaceCube. Zick, K. M; Yu, C.; Walters, J. P.; and French, M. IEEE Embedded Systems Letters, 4(2): 33–36. 2012.
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Towards a high performance virtualized iaas deployment. Younge, A. J; Walters, J. P.; Suh, J.; Kang, D. D; Park, Y.; Crago, S. P; and Fox, G. C . 2012.
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Integrating high performance file systems in a cloud computing environment. Pan, A.; Walters, J. P.; Pai, V. S; Kang, D. D; and Crago, S. P In 2012 SC Companion: High Performance Computing, Networking Storage and Analysis, pages 753–759, 2012. IEEE
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Virtualized Cloud Computing for Exascale Performance. Pai, V. S; Crago, S. P; Kang, D.; Kang, M.; Singh, K.; Suh, J.; Walters, J. P.; and Younge, A. J . 2012.
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  2011 (8)
Fftw and complex ambiguity function performance on the maestro processor. Singh, K.; Walters, J. P.; Hestness, J.; Suh, J.; Rogers, C. M; and Crago, S. P In 2011 Aerospace Conference, pages 1–8, 2011. IEEE
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The powerpc 405 memory sentinel and injection system. Bucciero, M.; Walters, J. P.; Moussalli, R.; Gao, S.; and French, M. In 2011 IEEE 19th Annual International Symposium on Field-Programmable Custom Computing Machines, pages 154–161, 2011. IEEE
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Autonomous on-board processing for sensor systems: Initial fault tolerance and autonomy results. French, M.; Walters, J. P.; and Zick, K. In Earth Science Technology Forum, 2011.
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Software fault tolerance methodology and testing for the embedded PowerPC. Bucciero, M.; Walters, J. P.; and French, M. In 2011 Aerospace Conference, pages 1–9, 2011. IEEE
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Heterogeneous cloud computing. Crago, S.; Dunn, K.; Eads, P.; Hochstein, L.; Kang, D.; Kang, M.; Modium, D.; Singh, K.; Suh, J.; and Walters, J. P. In 2011 IEEE International Conference on Cluster Computing, pages 378–385, 2011. IEEE
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Software-based fault tolerance for the Maestro many-core processor. Walters, J. P.; Kost, R.; Singh, K.; Suh, J.; and Crago, S. P In 2011 Aerospace Conference, pages 1–12, 2011. IEEE
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Programming models and development software for a space-based many-core processor. Crago, S. P; Kang, D.; Kang, M.; Kost, R.; Singh, K.; Suh, J.; and Walters, J. P. In 2011 IEEE Fourth International Conference on Space Mission Challenges for Information Technology, pages 95–102, 2011. IEEE
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Initial Fault Tolerance and Autonomy Results for Autonomous On-board Processing of Hyperspectral Imaging. French, M; Walters, J; and Zick, K In AGU Fall Meeting Abstracts, volume 2011, pages IN42A–03, 2011.
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  2010 (3)
Applying graphics processor units to Monte Carlo dose calculation in radiation therapy. Bakhtiari, M; Malhotra, H; Jones, M.; Chaudhary, V; Walters, J.; and Nazareth, D Journal of medical physics/Association of Medical Physicists of India, 35(2): 120. 2010.
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Database Searching with Profile-Hidden Markov Models on Reconfigurable and Many-Core Architectures. Walters, J. P.; Chaudhary, V.; and Schmidt, B. In Bioinformatics: high performance parallel computer architectures, volume 2, pages 203. CRC Pr I Llc, 2010.
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Computation Checkpointing and Migration. Chaudhary, V.; Walters, J. P. N; and Jiang, H. 2010.
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  2009 (4)
Evaluating the use of GPUs in liver image segmentation and HMMER database searches. Walters, J. P.; Balu, V.; Kompalli, S.; and Chaudhary, V. In 2009 Ieee International Symposium on Parallel & Distributed Processing, pages 1–12, 2009. IEEE
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A fault-tolerant strategy for virtualized HPC clusters. Walters, J. P.; and Chaudhary, V. The Journal of Supercomputing, 50(3): 209–239. 2009.
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Improving MPI-HMMER's scalability with parallel I/O. Walters, J. P.; Darole, R.; and Chaudhary, V. In Parallel & Distributed Processing, 2009. IPDPS 2009. IEEE International Symposium on, pages 1–11, 2009. IEEE
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MPI-HMMER. Walters, J.; Landman, J; and Chaudhary, V URL: http://www. mpihmmer. org, 2009.
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  2008 (5)
A comparison of virtualization technologies for HPC. Walters, J. P.; Chaudhary, V.; Cha, M.; Guercio, S.; and Gallo, S. In 22nd International Conference on Advanced Information Networking and Applications (aina 2008), pages 861–868, 2008. IEEE
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Replication-based fault tolerance for MPI applications. Walters, J. P.; and Chaudhary, V. IEEE Transactions on Parallel and Distributed Systems, 20(7): 997–1010. 2008.
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Enabling interactive jobs in virtualized data centers. Walters, J. P.; Bantwal, B.; and Chaudhary, V. In Cloud Computing and Its Applications, 2008.
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Optimized Cluster-Enabled HMMER Searches. Walters, J. P.; Landman, J.; and Chaudhary, V. In Grid computing for bioinformatics and computational biology, pages 51–70. John Wiley & Sons, Inc., 2008.
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Accelerating molecular dynamics simulations with gpus. Walters, J. P.; Balu, V.; Chaudhary, V.; Kofke, D.; and Schultz, A. In ISCA PDCCS, pages 44–49, 2008.
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  2007 (6)
Wireless sensor network security: A survey. Walters, J. P.; Liang, Z.; Shi, W.; and Chaudhary, V. In Security in distributed, grid, mobile, and pervasive computing, pages 367. CRC Press: Boca Raton, FL, USA, 2007.
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MPI-HMMER-Boost: Distributed fpga acceleration. Walters, J. P.; Meng, X.; Chaudhary, V.; Oliver, T.; Yeow, L. Y.; Schmidt, B.; Nathan, D.; and Landman, J. The Journal of VLSI Signal Processing, 48(3): 223–238. 2007.
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A comprehensive user-level checkpointing strategy for MPI applications. Walters, J; and Chaudhary, V. Technical report, TR 2007-1. 2007.
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A scalable asynchronous replication-based strategy for fault tolerant MPI applications. Walters, J.; and Chaudhary, V. In High Performance Computing, HiPC 2007, pages 257–268, 2007. Springer Berlin/Heidelberg
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Failure Prediction and Scalable Checkpointing for Reliable Large-Scale Grid Computing. Rood, B.; Walters, J. P.; Chaudhary, V.; and Lewis, M. J In IEEE HPDC’07, 2007.
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Fault-tolerant techniques for high performance computing and a bioinformatics application. Walters, J. P. N Ph.D. Thesis, ProQuest, 2007.
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  2006 (5)
Accelerating the HMMER sequence analysis suite using conventional processors. Walters, J. P.; Qudah, B.; and Chaudhary, V. In 20th International Conference on Advanced Information Networking and Applications-Volume 1 (AINA'06), volume 1, pages 6–pp, 2006. IEEE
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Application-level checkpointing techniques for parallel programs. Walters, J.; and Chaudhary, V. In Distributed Computing and Internet Technology, pages 221–234, 2006. Springer Berlin/Heidelberg
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Accelerating HMMer searches on Opteron processors with minimally invasive recoding. Landman, J.; Ray, J.; and Walters, J. P. In 20th International Conference on Advanced Information Networking and Applications-Volume 1 (AINA'06), volume 2, pages 5–pp, 2006. IEEE
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An adaptive heterogeneous software DSM. Walters, J. P.; Jiang, H.; and Chaudhary, V. In 2006 International Conference on Parallel Processing Workshops (ICPPW'06), pages 8–pp, 2006. IEEE
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Data Conversion for Heterogeneous Migration/Checkpointing. Jiang, H.; Chaudhary, V.; and Walters, J. P. In High-performance computing: paradigm and infrastructure, volume 44, pages 241. John Wiley and Sons, 2006.
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  2003 (1)
Data conversion for process/thread migration and checkpointing. Jiang, H.; Chaudhary, V.; and Walters, J. P. In 2003 International Conference on Parallel Processing, 2003. Proceedings., pages 473–480, 2003. IEEE
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