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The performance potential of the Cell/B.E., as well as its availability, have attracted a lot of attention from various high-performance computing (HPC) fields. While computation intensive kernels proved to be exceptionally well suited for running on the Cell, irregular data-intensive applications are usually considered as poor matches. In this paper, we(More)
Now that large radiotelescopes like SKA, LOFAR, or AS-KAP, become available in different parts of the world, radioastronomers foresee a vast increase in the amount of data to gather, store and process. To keep the processing time bounded, parallelization and execution on (massively) parallel machines are required for the commonly-used ra-dioastronomy(More)
In this report we present our experience with porting two very time consuming kernels from radioastronomy imaging, i.e. the gridding/degridding operations. Both these procedures are implemented using convolutional resampling, a bandwidth-limited application which is not trivial to parallelize on a hybrid memory architecture. We briefly discuss the role of(More)
Aims. This paper discusses the spectral occupancy for performing radio astronomy with the Low-Frequency Array (LOFAR), with a focus on imaging observations. Methods. We have analysed the radio-frequency interference (RFI) situation in two 24-h surveys with Dutch LOFAR stations, covering 30– 78 MHz with low-band antennas and 115–163 MHz with high-band(More)
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