Ben Whitney

MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring

We describe MGARD, a software providing MultiGrid Adaptive Reduction for floating-point scientific data on structured and unstructured grids. With exceptional data compression capability and...

MGARD+: Optimizing Multilevel Methods for Error-bounded Scientific Data Reduction

Data management is becoming increasingly important in dealing with the large amounts of data produced by large-scale scientific simulations and instruments. Existing multilevel compression...

Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs

Rapid growth in scientific data and a widening gap between computational speed and I/O bandwidth make it increasingly infeasible to store and share all data produced by scientific simulations....

Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs

Rapid growth in scientific data and a widening gap between computational speed and I/O bandwidth makes it increasingly infeasible to store and share all data produced by scientific simulations....

Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs

Region-adaptive, Error-controlled Scientific Data Compression using Multilevel Decomposition

Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression

Coupling Exascale Multiphysics Applications: Methods and Lessons Learned

Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network

RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data

Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression

Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition

Exacution: Enhancing Scientific Data Management for Exascale