1 March 2017
Dr. Leandro Fiorin,
Accelerating radio-astronomy algorithms
The Square Kilometre Array (SKA) will be the biggest radio telescope ever built, with unprecedented sensitivity, angular resolution, and survey speed. Collectively, the SKA's antennas are expected to gather exabytes of data per second and store one petabyte of data every day, requiring exa operations per second for the processing. Its construction will face many challenges in all the aspects of the instrument, namely, data transportation, algorithms development, data storage, system design, required computing power. Moreover, a key challenge is to satisfy the strict power budget requirements. New technologies will be needed to satisfy the instrument's requirements.
The recent use of accelerators (e.g., GPUs, Many-core CPUs, FPGAs) in high-performance computing has resulted in a significant performance boost for some scientific applications, allowing to increase the amount of operations per second while at the same reducing the overall power consumption.
This talk focuses on the analysis and comparison of different acceleration strategies, while taking as use case part of the SKA processing pipeline. Several scientific kernels are implemented and studied on CPU, GPUs, FPGAs, and on custom accelerators.
This talk will show that trading off flexibility and programmability of general purpose CPUs for the energy efficiency accelerator technologies allows to achieve orders of magnitude of power reduction, contributing to the possibility of realizing the final SKA instrument.
Colloquium coordinators are Prof.dr. M. Aiello (e-mail :
Prof.dr. M. Biehl (e-mail:
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