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John Paul Walters
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2020 – today
- 2024
- [c34]Connor Imes
, Andrew Rittenbach
, Peng Xie
, Dong-In Kang
, John Paul Walters
, Stephen P. Crago
:
Evaluating Deep Learning Recommendation Model Training Scalability with the Dynamic Opera Network. EuroMLSys@EuroSys 2024: 169-175 - 2023
- [c33]Connor Imes, David W. King, John Paul Walters
:
Distributed Edge Machine Learning Pipeline Scheduling with Reverse Auctions. FMEC 2023: 196-203 - [c32]Haonan Wang, Connor Imes, Souvik Kundu, Peter A. Beerel
, Stephen P. Crago, John Paul Walters
:
Quantpipe: Applying Adaptive Post-Training Quantization For Distributed Transformer Pipelines In Dynamic Edge Environments. ICASSP 2023: 1-5 - 2022
- [c31]Yang Hu, Connor Imes, Xuanang Zhao, Souvik Kundu, Peter A. Beerel
, Stephen P. Crago, John Paul Walters
:
PipeEdge: Pipeline Parallelism for Large-Scale Model Inference on Heterogeneous Edge Devices. DSD 2022: 298-307 - [i3]Haonan Wang, Connor Imes, Souvik Kundu, Peter A. Beerel, Stephen P. Crago, John Paul Walters
:
QuantPipe: Applying Adaptive Post-Training Quantization for Distributed Transformer Pipelines in Dynamic Edge Environments. CoRR abs/2211.04515 (2022) - 2021
- [c30]Connor Imes, Tzu-Mao Li, Mark Glines, Rishi Khan, John Paul Walters:
Distributed and Heterogeneous SAR Backprojection with Halide. HPEC 2021: 1-9 - [i2]Yang Hu, Connor Imes, Xuanang Zhao, Souvik Kundu, Peter A. Beerel, Stephen P. Crago, John Paul Walters:
Pipeline Parallelism for Inference on Heterogeneous Edge Computing. CoRR abs/2110.14895 (2021) - 2020
- [c29]Connor Imes, Alexei Colin, Naifeng Zhang, Ajitesh Srivastava, Viktor K. Prasanna, John Paul Walters:
Compiler Abstractions and Runtime for Extreme-scale SAR and CFD Workloads. ESPM2@SC 2020: 1-7 - [i1]Andrew Rittenbach, John Paul Walters:
RDAnet: A Deep Learning Based Approach for Synthetic Aperture Radar Image Formation. CoRR abs/2001.08202 (2020)
2010 – 2019
- 2019
- [c28]Geoffrey Phi C. Tran, John Paul Walters, Stephen P. Crago:
Increased Fault-Tolerance and Real-Time Performance Resiliency for Stream Processing Workloads through Redundancy. SCC 2019: 51-55 - 2018
- [c27]Geoffrey Phi C. Tran, John Paul Walters, Stephen P. Crago:
Reducing Tail Latencies While Improving Resiliency to Timing Errors for Stream Processing Workloads. SCC 2018: 278-281 - [c26]Yu-An Chen, Geoffrey Phi C. Tran, Andrew Rittenbach, John Paul Walters, Stephen P. Crago:
Pacer: Automated Feedback-Based Vertical Elasticity for Heterogeneous Soft Real-Time Workloads. UCC 2018: 73-82 - [c25]Geoffrey Phi C. Tran, John Paul Walters, Stephen P. Crago:
Reducing Tail Latencies while Improving Resiliency to Timing Errors for Stream Processing Workloads. UCC 2018: 194-203 - 2017
- [c24]Mikyung Kang, Dong-In Kang, John Paul Walters, Stephen P. Crago:
A Comparison of System Performance on a Private OpenStack Cloud and Amazon EC2. CLOUD 2017: 310-317 - [c23]Yu-An Chen, John Paul Walters, Stephen P. Crago:
Load Balancing for Minimizing Deadline Misses and Total Runtime for Connected Car Systems in Fog Computing. ISPA/IUCC 2017: 683-690 - [c22]Geoffrey Phi C. Tran, John Paul Walters, Stephen P. Crago:
Dynamically Improving Resiliency to Timing Errors for Stream Processing Workloads. PDCAT 2017: 469-476 - 2016
- [c21]Geoffrey Phi C. Tran, Yu-An Chen, Dong-In Kang, John Paul Walters, Stephen P. Crago:
Automated Demand-Based Vertical Elasticity for Heterogeneous Real-Time Workloads. CLOUD 2016: 831-834 - [c20]Geoffrey Phi C. Tran, Yu-An Chen, Dong-In Kang, John Paul Walters, Stephen P. Crago:
Hypervisor performance analysis for real-time workloads. HPEC 2016: 1-7 - 2015
- [j5]Stephen P. Crago, John Paul Walters:
Heterogeneous Cloud Computing: The Way Forward. Computer 48(1): 59-61 (2015) - [c19]Andrew J. Younge, John Paul Walters, Stephen P. Crago, Geoffrey Charles Fox:
Supporting High Performance Molecular Dynamics in Virtualized Clusters using IOMMU, SR-IOV, and GPUDirect. VEE 2015: 31-38 - 2014
- [c18]Malek Musleh, Vijay S. Pai, John Paul Walters, Andrew J. Younge, Stephen P. Crago:
Bridging the Virtualization Performance Gap for HPC Using SR-IOV for InfiniBand. IEEE CLOUD 2014: 627-635 - [c17]John Paul Walters, Andrew J. Younge, Dong-In Kang, Ke Thia Yao, Mikyung Kang, Stephen P. Crago, Geoffrey C. Fox:
GPU Passthrough Performance: A Comparison of KVM, Xen, VMWare ESXi, and LXC for CUDA and OpenCL Applications. IEEE CLOUD 2014: 636-643 - [c16]Andrew J. Younge, John Paul Walters, Stephen P. Crago, Geoffrey Charles Fox:
Evaluating GPU Passthrough in Xen for High Performance Cloud Computing. IPDPS Workshops 2014: 852-859 - 2013
- [c15]John Paul Walters, Kenneth M. Zick, Matthew French:
A practical characterization of a NASA SpaceCube application through fault emulation and laser testing. DSN 2013: 1-8 - 2012
- [j4]Kenneth M. Zick, Chien-Chih Yu, John Paul Walters, Matthew French:
Silent Data Corruption and Embedded Processing With NASA's SpaceCube. IEEE Embed. Syst. Lett. 4(2): 33-36 (2012) - [c14]Abhisek Pan, John Paul Walters, Vijay S. Pai, Dong-In Kang, Stephen P. Crago:
Integrating High Performance File Systems in a Cloud Computing Environment. SC Companion 2012: 753-759 - 2011
- [c13]Stephen P. Crago, Kyle Dunn, Patrick Eads, Lorin Hochstein, Dong-In Kang, Mikyung Kang, Devendra Modium, Karandeep Singh, Jinwoo Suh, John Paul Walters:
Heterogeneous Cloud Computing. CLUSTER 2011: 378-385 - [c12]Mark Bucciero, John Paul Walters, Roger Moussalli, Shanyuan Gao, Matthew French:
The PowerPC 405 Memory Sentinel and Injection System. FCCM 2011: 154-161
2000 – 2009
- 2009
- [j3]John Paul Walters, Vipin Chaudhary
:
A fault-tolerant strategy for virtualized HPC clusters. J. Supercomput. 50(3): 209-239 (2009) - [j2]John Paul Walters, Vipin Chaudhary
:
Replication-Based Fault Tolerance for MPI Applications. IEEE Trans. Parallel Distributed Syst. 20(7): 997-1010 (2009) - [c11]John Paul Walters, Vidyananth Balu, Suryaprakash Kompalli, Vipin Chaudhary
:
Evaluating the use of GPUs in liver image segmentation and HMMER database searches. IPDPS 2009: 1-12 - [c10]John Paul Walters, Rohan Darole, Vipin Chaudhary
:
Improving MPI-HMMER's scalability with parallel I/O. IPDPS 2009: 1-11 - 2008
- [c9]John Paul Walters, Vidyananth Balu, Vipin Chaudhary, David A. Kofke, Andrew Schultz:
Accelerating Molecular Dynamics Simulations with GPUs. PDCCS 2008: 44-49 - [c8]John Paul Walters, Vipin Chaudhary
, Minsuk Cha, Salvatore Guercio Jr., Steven M. Gallo
:
A Comparison of Virtualization Technologies for HPC. AINA 2008: 861-868 - 2007
- [j1]John Paul Walters, Xiandong Meng, Vipin Chaudhary
, Timothy F. Oliver, Leow Yuan Yeow, Bertil Schmidt
, Darran Nathan, Joseph I. Landman:
MPI-HMMER-Boost: Distributed FPGA Acceleration. J. VLSI Signal Process. 48(3): 223-238 (2007) - [c7]John Paul Walters, Vipin Chaudhary:
FT-OpenVZ: A virtualized approach to fault-tolerance in distributed systems. PDCS 2007: 85-90 - [c6]John Paul Walters, Vipin Chaudhary
:
A Scalable Asynchronous Replication-Based Strategy for Fault Tolerant MPI Applications. HiPC 2007: 257-268 - [p1]John Paul Walters, Joseph I. Landman, Vipin Chaudhary
:
Optimized Cluster-Enabled HMMER Searches. Grid Computing for Bioinformatics and Computational Biology 2007: 51-70 - 2006
- [c5]John Paul Walters, Bashar Qudah, Vipin Chaudhary
:
Accelerating the HMMER Sequence Analysis Suite Using Conventional Processors. AINA (1) 2006: 289-294 - [c4]Joseph I. Landman, Joydeep Ray, John Paul Walters:
Accelerating HMMer searches on Opteron processors with minimally invasive recoding. AINA (2) 2006: 628-636 - [c3]John Paul Walters, Vipin Chaudhary:
Application-Level Checkpointing Techniques for Parallel Programs. ICDCIT 2006: 221-234 - [c2]John Paul Walters, Hai Jiang, Vipin Chaudhary
:
An Adaptive Heterogeneous Software DSM. ICPP Workshops 2006: 266-272 - 2003
- [c1]Hai Jiang, Vipin Chaudhary
, John Paul Walters:
Data Conversion for Process/Thread Migration and Checkpointing. ICPP 2003: 473-
Coauthor Index
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last updated on 2024-05-08 21:02 CEST by the dblp team
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