Showing 101–120 of 249 results
/ Date/ Name
Aug 4, 2023A Deep Dive into the Google Cluster Workload Traces: Analyzing the Application Failure Characteristics and User BehaviorsJul 20, 2023Effectiveness and predictability of in-network storage cache for scientific workflowsMay 16, 2023Accelerating Communications in Federated Applications with Transparent Object ProxiesApr 17, 2023Serverless Approach to Sensitivity Analysis of Computational ModelsApr 15, 2023Fully Scalable Massively Parallel Algorithms for Embedded Planar GraphsApr 5, 2023Topological Characterization of Consensus Solvability in Directed Dynamic NetworksMar 31, 2023Workflows Community Summit 2022: A Roadmap RevolutionMar 28, 2023Distributed Neural Representation for Reactive in situ VisualizationMar 15, 2023Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous ResourcesFeb 15, 2023Experimenting with Emerging RISC-V Systems for Decentralised Machine LearningJan 11, 2023Accelerating Machine Learning Inference with GPUs in ProtoDUNE Data ProcessingDec 9, 2022Validating quantum-supremacy experiments with exact and fast tensor network contractionSep 6, 2022EnergonAI: An Inference System for 10-100 Billion Parameter Transformer ModelsAug 23, 2022Accelerating Monte-Carlo Tree Search on CPU-FPGA Heterogeneous PlatformAug 8, 2022A Frequency-aware Software Cache for Large Recommendation System EmbeddingsJul 29, 2022Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local UpdatesJul 13, 2022Self-Stabilizing Clock Synchronization in Dynamic NetworksMay 28, 2022Efficient-Adam: Communication-Efficient Distributed AdamMay 28, 2022ByteComp: Revisiting Gradient Compression in Distributed TrainingMay 26, 2022AutoTSG: Learning and Synthesis for Incident Troubleshooting