Achievement: Developed an end-to-end data transfer framework, named LADS, for bulk data transfer for terabit networks that is optimized for parallel file systems on both the source and sink.
Filter Research Highlights
Area of Research
- (-) Computer Science (111)
- (-) Data (8)
- (-) Materials (7)
- (-) Quantum information Science (10)
- Advanced Manufacturing (1)
- Biological Systems (3)
- Building Technologies (1)
- Clean Energy (6)
- Climate and Environmental Systems (3)
- Computational Biology (1)
- Computational Chemistry (3)
- Computational Engineering (8)
- Energy Sciences (3)
- Engineering Analysis (1)
- Geographic Information Science and Technology (1)
- Materials for Computing (4)
- Mathematics (11)
- Renewable Energy (2)
- Sensors and Controls (1)
- Supercomputing (35)
- Visualization (3)
As rising performance demands confront plateauing resource budgets, approximate computing (AC) has become not merely attractive, but imperative.
We demonstrated feasibility of embedding functional programming (FP) computational cores written in Scala into programs written in three traditional languages used to implement high performance computing (HPC) applications: Fortran, C, and C++.