<italic>zMesh</italic>: Theories and Methods to Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement | 0 | 0.34 | 2022 |
Fast and Scalable Sparse Triangular Solver for Multi-GPU Based HPC Architectures. | 0 | 0.34 | 2021 |
Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition | 0 | 0.34 | 2021 |
Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression | 0 | 0.34 | 2021 |
Taming I/O variation on QoS-less HPC storage: what can applications do? | 0 | 0.34 | 2020 |
Visualization as a Service for Scientific Data. | 0 | 0.34 | 2020 |
Feature-preserving Lossy Compression for In Situ Data Analysis. | 0 | 0.34 | 2020 |
Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale. | 0 | 0.34 | 2020 |
Feature-preserving Lossy Compression for In Situ Data Analysis. | 0 | 0.34 | 2020 |