Physical Sciences and Mathematics Commons^™

Unified Framework For Development, Deployment And Robust Testing Of Neuroimaging Algorithms, Alark Joshi, Dustin Scheinost, Hirohito Okuda, Dominique Belhachemi, Isabella Murphy, Lawrence H. Staib, Xenophon Papademetris

Computer Science Faculty Publications and Presentations

Developing both graphical and commandline user interfaces for neuroimaging algorithms requires considerable effort. Neuroimaging algorithms can meet their potential only if they can be easily and frequently used by their intended users. Deployment of a large suite of such algorithms on multiple platforms requires consistency of user interface controls, consistent results across various platforms and thorough testing.

We present the design and implementation of a novel object-oriented framework that allows for rapid development of complex image analysis algorithms with many reusable components and the ability to easily add graphical user interface controls. Our framework also allows for simplified yet robust …

Improving Low Power Processor Efficiency With Static Pipelining, Ian Finlayson, Gang-Ryung Uh, David Whalley, Gary Tyson

Computer Science Faculty Publications and Presentations

A new generation of mobile applications requires reduced energy consumption without sacrificing execution performance. In this paper, we propose to respond to these conflicting demands with an innovative statically pipelined processor supported by an optimizing compiler. The central idea of the approach is that the control during each cycle for each portion of the processor is explicitly represented in each instruction. Thus the pipelining is in effect statically determined by the compiler. The benefits of this approach include simpler hardware and that it allows the compiler to perform optimizations that are not possible on traditional architectures. The initial results indicate …