The objective of this research is to develop techniques that utilize solid-state memory technologies from device, circuit, architecture, and system perspectives across I/O hierarchy in order to exploit their true potential for improving I/O stack performance in high-performance computing systems. I/O friendly memory system architectures will be developed to enable hybrid processor-memory 3D integrations with largely reduced off-chip I/O traffic. Adaptive cache management and hotspot prediction methods will be developed to address the low random write performance of solid-state drives, and data processing techniques will be developed to enable run-time configurable trade-offs among solid-state drive performance characteristics. A comprehensive full-system simulation infrastructure will be developed to evaluate and demonstrate the research under diverse high-performance computing workloads. The research will facilitate the high-performance computing systems to most effectively utilize existing/emerging memory and processing technologies to tackle the grand I/O stack design challenge. It can greatly contribute to enabling high-performance computing systems to stay on track of their historic scaling, and hence benefit numerous real-life applications such as biology, chemistry, earth science, health care, etc. This project will also contribute to the society through engaging under-represented groups, research infrastructure dissemination for education and training, and outreach to high school students.

Agency
National Science Foundation (NSF)
Institute
Division of Computer and Communication Foundations (CCF)
Type
Standard Grant (Standard)
Application #
0937794
Program Officer
Almadena Y. Chtchelkanova
Project Start
Project End
Budget Start
2009-09-15
Budget End
2012-08-31
Support Year
Fiscal Year
2009
Total Cost
$294,531
Indirect Cost
Name
Rensselaer Polytechnic Institute
Department
Type
DUNS #
City
Troy
State
NY
Country
United States
Zip Code
12180