Kernel methods match deep neural networks on TIMIT
Po-Sen Huang, Haim Avron, et al.
ICASSP 2014
The Square Kilometre Array (SKA) will be the largest radio telescope in the world, generating data at Pb/s rates. Real-time processing will require 1018 compute operations per second and system operating costs will be dominated by energy consumption. In this paper we explore design options for the aperture array of the first SKA construction phase and provide lower bounds on their power consumption. We analyze the system's components from the antenna front-end to the central signal processor and identify the main power consumers. We compare ASIC-based and FPGA-based data processing pipelines and show that ASICs can lead to 1.6 to 4 times more power efficiency. © 2014 IEEE.
Po-Sen Huang, Haim Avron, et al.
ICASSP 2014
Dmitry Malioutov, Aleksandr Aravkin
ICASSP 2014
Hagen Soltau, George Saon, et al.
ICASSP 2014
Rik Jongerius, Andreea Anghel, et al.
IEEE TC