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| Content Provider | ACM Digital Library |
|---|---|
| Author | van der Veldt, Karel van Nieuwpoort, Rob Varbanescu, Ana Lucia Jesshope, Chris |
| Abstract | 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. $LOFAR^{1},$ 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. |
| Starting Page | 33 |
| Ending Page | 40 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781450313384 |
| DOI | 10.1145/2286976.2286986 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2012-06-18 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Radio astronomy Microgrid Fir filter Lofar Digital signal processing Polyphase filter Opencl Cuda |
| Content Type | Text |
| Resource Type | Article |
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