- A polyphase filter for GPUs and multi-core processors
- Book/source title
- Book/source subtitle
- Workshop on High-Performance Computing for Astronomy : June 19, 2012, Delft, the Netherlands
- Pages (from-to)
- New York, NY: Association for Computing Machinery
- ACM International Conference Proceedings Series
- Document type
- Conference contribution
- Faculty of Science (FNWI)
- Informatics Institute (IVI)
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. We present a novel way to compute polyphase filters efficiently on GPUs, and also discuss hardware limitations and energy efficiency.
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