Christopher Williams

Abstract:

Astrophysical radio transients are excellent probes of extreme physical processes originating from compact sources within our Galaxy and beyond. Radio frequency signals emitted from these objects provide a means to study the intervening medium through which they travel. Next generation radio telescopes are designed to explore the vast unexplored parameter space of high time resolution astronomy, but require High Performance Computing (HPC) solutions to process the enormous volumes of data that are produced by these telescopes. We have developed a combined software /hardware solution (code named ARTEMIS) for real-time searches for millisecond radio transients, which uses GPU technology to remove interstellar dispersion and detect millisecond radio bursts from astronomical sources in real-time. Here we present an introduction to ARTEMIS. We give a brief overview of the software pipeline, then focus specifically on the intricacies of performing incoherent de-dispersion. We present results from two brute-force algorithms. The first is a GPU based algorithm, designed to exploit the L1 cache of the NVIDIA Fermi GPU. Our second algorithm is CPU based and exploits the new AVX units in Intel Sandy Bridge CPUs.

Abstract:

In this paper we show how phase errors between different analogue signal channels of a phased array affects the quality of the output phased array beam. Specifically we look at the reduction in forward gain of the array beam and the array beam pointing offset as a function of phase errors and array size. We use a combination of simulations made using the aperture array simulator OSKAR, developed at the University of Oxford, in conjunction with measured results taken from 2-PAD; a functioning, astronomical, dual-polarisation, digital beamforming, 4 × 4 element, aperture array prototype (Greenwood 2007) for the Square Kilometre Array (Taylor 2007) developed by a consortium of UK universities. We show that phase errors between different signal channels is specifically an important issue for broadband arrays like 2-PAD, and comment on the relative benefit of digital beamforming versus analogue beamforming engines.

Abstract:

The GridPP Collaboration is building a UK computing Grid for particle physics, as part of the international effort towards computing for the Large Hadron Collider. The project, funded by the UK Particle Physics and Astronomy Research Council (PPARC), began in September 2001 and completed its first phase 3 years later. GridPP is a collaboration of approximately 100 researchers in 19 UK university particle physics groups, the Council for the Central Laboratory of the Research Councils and CERN, reflecting the strategic importance of the project. In collaboration with other European and US efforts, the first phase of the project demonstrated the feasibility of developing, deploying and operating a Grid-based computing system to meet the UK needs of the Large Hadron Collider experiments. This note describes the work undertaken to achieve this goal. © 2006 IOP Publishing Ltd.