Title :
Enhanced SAR Imaging Algorithm Development for Streaming Processors
Author :
Song Jun Park ; Shires, Dale ; Richie, David ; Ross, James
Author_Institution :
US Army Res. Lab. (ARL), Aberdeen Proving Ground, MD, USA
Abstract :
In the past few years, parallel processing has been the driving force behind improving performance. Instead of faster clocked processors, new generations of Intel or AMD processors provide more parallelism. Likewise, graphics processors also rely on a network of multiple cores or parallelism to accelerate computations involved in rendering graphics. This research examines the application of general purpose processing on graphics processors. The development process and programming effort of translating a side lobe minimization imaging algorithm to a graphics processing units (GPU) are considered for analysis. The purpose is to acquire a sufficient amount of experience and data to determine the feasibility of deploying a graphics card-complemented system for tactical and high performance computations.
Keywords :
computer graphic equipment; coprocessors; parallel processing; radar imaging; synthetic aperture radar; AMD processor; GPU; Intel processor; SAR imaging algorithm development; general purpose processing; graphics card; graphics processing unit; graphics processor; parallel processing; parallelism; side lobe minimization imaging algorithm; streaming processor; Computer architecture; Graphics; Graphics processing unit; Hardware; Parallel processing; Programming;
Conference_Titel :
High Performance Computing Modernization Program Users Group Conference (HPCMP-UGC), 2010 DoD
Conference_Location :
Schaumburg, IL
Print_ISBN :
978-1-61284-986-7
DOI :
10.1109/HPCMP-UGC.2010.73