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

4 citations · 5 across the 3 of their papers we have counts for

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cs.DC2021

Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development

Rafael Ferreira da Silva, Henri Casanova, Kyle Chard +55

Scientific workflows are a cornerstone of modern scientific computing, and they have underpinned some of the most significant discoveries of the last decade. Many of these workflow…

cs.DC2021

Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs

Jieyang Chen, Lipeng Wan, Xin Liang +10

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…

cs.DC20211 cited

Workflows Community Summit: Bringing the Scientific Workflows Community Together

Rafael Ferreira da Silva, Henri Casanova, Kyle Chard +42

Scientific workflows have been used almost universally across scientific domains, and have underpinned some of the most significant discoveries of the past several decades. Many of…

cs.DC20204 cited

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

Xin Liang, Ben Whitney, Jieyang Chen +8

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

cs.DC2020

Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs

Jieyang Chen, Lipeng Wan, Xin Liang +8

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…