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Proceedings Paper

Comparison of GPU and FPGA hardware for HWIL scene generation and image processing
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Paper Abstract

Hardware-in-the-Loop (HWIL) simulation is becoming increasingly important for cost-effective testing of imaging infrared systems. DSTO is developing real-time scene generation and image processing capabilities within its HWIL simulation programs, based on the application of COTS desktop PCs equipped with Graphics Processing Unit (GPU) cards, and including limited use of Field Programmable Gate Arrays (FPGAs). GPUs and FPGAs are high-performance parallel computing machines but are fundamentally different types of hardware. To determine which hardware type should be used to implement a real-time solution of a given application, a methodology is required to expose the concurrency within the problem and to structure the problem in a way that can be mapped to the hardware types. In this paper we use parallel programming patterns to compare the architectures of recent generation GPUs and FPGAs. We demonstrate the decomposition of a parallel application and its implementation on GPU and FPGA hardware and present preliminary results.

Paper Details

Date Published: 22 April 2009
PDF: 12 pages
Proc. SPIE 7301, Technologies for Synthetic Environments: Hardware-in-the-Loop Testing XIV, 730109 (22 April 2009); doi: 10.1117/12.818099
Show Author Affiliations
Craig R. Eales, Defence Science and Technology Organisation (Australia)
Leszek Swierkowski, Defence Science and Technology Organisation (Australia)


Published in SPIE Proceedings Vol. 7301:
Technologies for Synthetic Environments: Hardware-in-the-Loop Testing XIV
James A. Buford; Robert Lee Murrer, Editor(s)

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