Data Conversion for Process/Thread Migration and Checkpointing. - Hai Jiang 003; Vipin Chaudhary; John Paul Walters (ICPP, 2003)

Accelerating HMMer searches on Opteron processors with minimally invasive recoding. - Joseph I. Landman; Joydeep Ray; John Paul Walters (AINA (2), 2006)

Accelerating the HMMER Sequence Analysis Suite Using Conventional Processors. - John Paul Walters; Bashar Qudah; Vipin Chaudhary (AINA (1), 2006)

Application-Level Checkpointing Techniques for Parallel Programs. - John Paul Walters; Vipin Chaudhary (ICDCIT, 2006)

An Adaptive Heterogeneous Software DSM. - John Paul Walters; Hai Jiang 003; Vipin Chaudhary (ICPP Workshops, 2006)

Optimized Cluster-Enabled HMMER Searches. - John Paul Walters; Joseph I. Landman; Vipin Chaudhary (Grid Computing for Bioinformatics and Computational Biology, 2007)

FT-OpenVZ: A virtualized approach to fault-tolerance in distributed systems. - John Paul Walters; Vipin Chaudhary (PDCS, 2007)

A Scalable Asynchronous Replication-Based Strategy for Fault Tolerant MPI Applications. - John Paul Walters; Vipin Chaudhary (HiPC, 2007)

MPI-HMMER-Boost: Distributed FPGA Acceleration. - John Paul Walters; Xiandong Meng; Vipin Chaudhary; Timothy F. Oliver; Leow Yuan Yeow; Bertil Schmidt; Darran Nathan; Joseph I. Landman (J. VLSI Signal Process., 2007)

Accelerating Molecular Dynamics Simulations with GPUs. - John Paul Walters; Vidyananth Balu; Vipin Chaudhary; David A. Kofke; Andrew Schultz 001 (PDCCS, 2008)

A Comparison of Virtualization Technologies for HPC. - John Paul Walters; Vipin Chaudhary; Minsuk Cha; Salvatore Guercio Jr.; Steven M. Gallo (AINA, 2008)

Evaluating the use of GPUs in liver image segmentation and HMMER database searches. - John Paul Walters; Vidyananth Balu; Suryaprakash Kompalli; Vipin Chaudhary (IPDPS, 2009)

Improving MPI-HMMER's scalability with parallel I/O. - John Paul Walters; Rohan Darole; Vipin Chaudhary (IPDPS, 2009)

A fault-tolerant strategy for virtualized HPC clusters. - John Paul Walters; Vipin Chaudhary (J. Supercomput., 2009)

Replication-Based Fault Tolerance for MPI Applications. - John Paul Walters; Vipin Chaudhary (IEEE Trans. Parallel Distributed Syst., 2009)

Heterogeneous Cloud Computing. - Stephen P. Crago; Kyle Dunn; Patrick Eads; Lorin Hochstein; Dong-In Kang; Mikyung Kang; Devendra Modium; Karandeep Singh; Jinwoo Suh; John Paul Walters (CLUSTER, 2011)

The PowerPC 405 Memory Sentinel and Injection System. - Mark Bucciero; John Paul Walters; Roger Moussalli; Shanyuan Gao; Matthew French (FCCM, 2011)

Integrating High Performance File Systems in a Cloud Computing Environment. - Abhisek Pan; John Paul Walters; Vijay S. Pai; Dong-In Kang; Stephen P. Crago (SC Companion, 2012)

Silent Data Corruption and Embedded Processing With NASA's SpaceCube. - Kenneth M. Zick; Chien-Chih Yu; John Paul Walters; Matthew French (IEEE Embed. Syst. Lett., 2012)

A practical characterization of a NASA SpaceCube application through fault emulation and laser testing. - John Paul Walters; Kenneth M. Zick; Matthew French (DSN, 2013)

Bridging the Virtualization Performance Gap for HPC Using SR-IOV for InfiniBand. - Malek Musleh; Vijay S. Pai; John Paul Walters; Andrew J. Younge; Stephen P. Crago (IEEE CLOUD, 2014)

GPU Passthrough Performance: A Comparison of KVM, Xen, VMWare ESXi, and LXC for CUDA and OpenCL Applications. - John Paul Walters; Andrew J. Younge; Dong-In Kang; Ke Thia Yao; Mikyung Kang; Stephen P. Crago; Geoffrey C. Fox (IEEE CLOUD, 2014)

Evaluating GPU Passthrough in Xen for High Performance Cloud Computing. - Andrew J. Younge; John Paul Walters; Stephen P. Crago; Geoffrey Charles Fox (IPDPS Workshops, 2014)

Supporting High Performance Molecular Dynamics in Virtualized Clusters using IOMMU, SR-IOV, and GPUDirect. - Andrew J. Younge; John Paul Walters; Stephen P. Crago; Geoffrey Charles Fox (VEE, 2015)

Heterogeneous Cloud Computing: The Way Forward. - Stephen P. Crago; John Paul Walters (Computer, 2015)

Automated Demand-Based Vertical Elasticity for Heterogeneous Real-Time Workloads. - Geoffrey Phi C. Tran; Yu-An Chen; Dong-In Kang; John Paul Walters; Stephen P. Crago (CLOUD, 2016)

Hypervisor performance analysis for real-time workloads. - Geoffrey Phi C. Tran; Yu-An Chen; Dong-In Kang; John Paul Walters; Stephen P. Crago (HPEC, 2016)

A Comparison of System Performance on a Private OpenStack Cloud and Amazon EC2. - Mikyung Kang; Dong-In Kang; John Paul Walters; Stephen P. Crago (CLOUD, 2017)

Load Balancing for Minimizing Deadline Misses and Total Runtime for Connected Car Systems in Fog Computing. - Yu-An Chen; John Paul Walters; Stephen P. Crago (ISPA/IUCC, 2017)

Dynamically Improving Resiliency to Timing Errors for Stream Processing Workloads. - Geoffrey Phi C. Tran; John Paul Walters; Stephen P. Crago (PDCAT, 2017)

Pacer: Automated Feedback-Based Vertical Elasticity for Heterogeneous Soft Real-Time Workloads. - Yu-An Chen; Geoffrey Phi C. Tran; Andrew Rittenbach; John Paul Walters; Stephen P. Crago (UCC, 2018)

Reducing Tail Latencies while Improving Resiliency to Timing Errors for Stream Processing Workloads. - Geoffrey Phi C. Tran; John Paul Walters; Stephen P. Crago (UCC, 2018)

Increased Fault-Tolerance and Real-Time Performance Resiliency for Stream Processing Workloads through Redundancy. - Geoffrey Phi C. Tran; John Paul Walters; Stephen P. Crago (SCC, 2019)

Compiler Abstractions and Runtime for Extreme-scale SAR and CFD Workloads. - Connor Imes; Alexei Colin; Naifeng Zhang; Ajitesh Srivastava; Viktor K. Prasanna; John Paul Walters (ESPM2@SC, 2020)

RDAnet: A Deep Learning Based Approach for Synthetic Aperture Radar Image Formation. - Andrew Rittenbach; John Paul Walters (CoRR, 2020)

Distributed and Heterogeneous SAR Backprojection with Halide. - Connor Imes; Tzu-Mao Li; Mark Glines; Rishi Khan; John Paul Walters (HPEC, 2021)

Pipeline Parallelism for Inference on Heterogeneous Edge Computing. - Yang Hu; Connor Imes; Xuanang Zhao; Souvik Kundu 002; Peter A. Beerel; Stephen P. Crago; John Paul Walters (CoRR, 2021)

PipeEdge: Pipeline Parallelism for Large-Scale Model Inference on Heterogeneous Edge Devices. - Yang Hu; Connor Imes; Xuanang Zhao; Souvik Kundu 002; Peter A. Beerel; Stephen P. Crago; John Paul Walters (DSD, 2022)

Distributed Edge Machine Learning Pipeline Scheduling with Reverse Auctions. - Connor Imes; David W. King; John Paul Walters (FMEC, 2023)

Quantpipe: Applying Adaptive Post-Training Quantization For Distributed Transformer Pipelines In Dynamic Edge Environments. - Haonan Wang; Connor Imes; Souvik Kundu 002; Peter A. Beerel; Stephen P. Crago; John Paul Walters (ICASSP, 2023)

Evaluating Deep Learning Recommendation Model Training Scalability with the Dynamic Opera Network. - Connor Imes; Andrew Rittenbach; Peng Xie; Dong-In Kang; John Paul Walters; Stephen P. Crago (EuroMLSys@EuroSys, 2024)

FedPaI: Achieving Extreme Sparsity in Federated Learning via Pruning at Initialization. - Haonan Wang; Zeli Liu; Kajimusugura Hoshino; Tuo Zhang; John Paul Walters; Stephen P. Crago (CoRR, 2025)