ScholarLens Back to search
2016•University of Minnesota Digital Conservancy (University of Minnesota)Open access

Performance, Power Modeling and Optimization for High-Performance Computing Systems

Chi Xu

Open full text 0 citations

Abstract

University of Minnesota Ph.D. dissertation.October 2016. Major: Electrical/Computer Engineering. Advisor: John Sartori. 1 computer file (PDF); xi, 154 pages.

Open-access reader

About this research paper

What this paper is about

University of Minnesota Ph.D. dissertation.October 2016. Major: Electrical/Computer Engineering. Advisor: John Sartori. 1 computer file (PDF); xi, 154 pages.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

University of Minnesota Ph.D. dissertation.October 2016. Major: Electrical/Computer Engineering. Advisor: John Sartori. 1 computer file (PDF); xi, 154 pages.

Key concepts: Supercomputer, Computer science, Power (physics), Distributed computing, Parallel computing, Physics, Quantum mechanics

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Performance, Power Modeling and Optimization for High-Performance Computing Systems — Research Paper | ScholarLens