Showing 1–20 of 37 results
/ Date/ Name
Jul 5, 2024Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy CompressionJul 5, 2024A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and VisualizationDec 9, 2023cuSZ-$i$: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level InterpolationJul 15, 2025Boosting Scientific Error-Bounded Lossy Compression through Optimized Synergistic Lossy-Lossless OrchestrationSep 1, 2025STZ: A High Quality and High Speed Streaming Lossy Compression Framework for Scientific DataJul 19, 2020cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific DataNov 4, 2021SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy CompressorsJan 22, 2022Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUsNov 1, 2022SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific SurrogatesJan 31, 2022SZx: an Ultra-fast Error-bounded Lossy Compressor for Scientific DatasetsApr 14, 2023HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUsSep 29, 2023Analyzing Impact of Data Reduction Techniques on Visualization for AMR Applications Using AMReX FrameworkJun 24, 2021CEAZ: Accelerating Parallel I/O via Hardware-Algorithm Co-Designed Adaptive Lossy CompressionNov 20, 2020ClickTrain: Efficient and Accurate End-to-End Deep Learning Training via Fine-Grained Architecture-Preserving PruningOct 20, 2020Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU ArchitecturesApr 1, 2022TAC: Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement SimulationsJun 28, 2022H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP ArchitectureJul 1, 2025FLARE: A Dataflow-Aware and Scalable Hardware Architecture for Neural-Hybrid Scientific Lossy CompressionMar 25, 2025Lossy Compression of Scientific Data: Applications Constrains and RequirementsJul 13, 2023AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications