Showing 1–20 of 79 results
/ Date/ Name
Feb 27, 2025EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research AssistantsMar 25, 2025Lossy Compression of Scientific Data: Applications Constrains and RequirementsJul 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 CompressorsMay 25, 2021Exploring Autoencoder-based Error-bounded Compression for Scientific DataJan 22, 2022Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUsJun 22, 2022ROIBIN-SZ: Fast and Science-Preserving Compression for Serial CrystallographyJan 31, 2022SZx: an Ultra-fast Error-bounded Lossy Compressor for Scientific DatasetsAug 21, 2024HoSZp: An Efficient Homomorphic Error-bounded Lossy Compressor for Scientific DataNov 20, 2023High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component InterpolationNov 30, 2009Checkpointing vs. Migration for Post-Petascale MachinesOct 30, 2024To Compress or Not To Compress: Energy Trade-Offs and Benefits of Lossy Compressed I/OJan 23, 2026DataStates-LLM: Scalable Checkpointing for Transformer Models Using Composable State ProvidersMay 17, 2018Fixed-PSNR Lossy Compression for Scientific DataNov 13, 2018Amplitude-Aware Lossy Compression for Quantum Circuit SimulationOct 20, 2020Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU ArchitecturesDec 4, 2021Towards Aggregated Asynchronous CheckpointingJun 12, 2017Z-checker: A Framework for Assessing Lossy Compression of Scientific DataApr 30, 2018Improving Performance of Iterative Methods by Lossy CheckpontingDec 9, 2023cuSZ-$i$: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation