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The objective of this research is to design and evaluate a new distributed data storage paradigm that unifies the traditionally distinct application views of memory- and file-based data storage into…
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SOLLVE project primarily aims at scaling OpenMP by leveraging LLVM for exascale performance and portability of applications. The OpenMP standard and implementations evolve at a fairly rapid pace,…
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Developing predictive tools to understand the behavior of plasma-facing components in fusion reactors. CSMD contributions include HPC implementation, uncertainty quantification, and data analysis and…
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SharP is a data-centric programming paradigm for extreme-scale systems with hierarchical heterogenous memory.
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This project intends to deliver an operating system and runtime (OS/R) environment for extreme-scale scientific computing. With application composition as the fundamental driving force, we will…