Proceedings of the 1993 ACM/IEEE conference on Supercomputing
Low complexity FIR filters using factorization of perturbed coefficients
Proceedings of the conference on Design, automation and test in Europe
Digital Signal Processing (4th Edition)
Digital Signal Processing (4th Edition)
Roofline: an insightful visual performance model for multicore architectures
Communications of the ACM - A Direct Path to Dependable Software
Implementation and evaluation of a microthread architecture
Journal of Systems Architecture: the EUROMICRO Journal
The implementation of an SVP many-core processor and the evaluation of its memory architecture
ACM SIGARCH Computer Architecture News
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Software radio telescopes are a new development in radio astronomy. Rather than using expensive dishes, they form distributed sensor networks of tens of thousands of simple receivers. Signals are processed in software instead of custom-built hardware, taking advantage of the flexibility that software solutions offer. In turn, the data rates are high and the processing requirements challenging. GPUs and multi-core processors are promising devices to provide the required processing power. LOFAR1, the largest radio telescope, is a prime example of a software radio telescope. In this paper, we discuss an optimized implementation of the polyphase filter bank used by LOFAR. We compare the following architectures: Intel Core i7, NVIDIA GTX580, ATI HD5870, and MicroGrid[7]. We present a novel way to compute polyphase filters efficiently on GPUs, and also discuss hardware limitations and energy efficiency.