Title :
Massively parallel jitter measurement from deep memory digital waveforms
Author :
Loken, Torbjorn ; Barford, Lee ; Harris, Frederick C.
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Nevada, Reno, NV, USA
Abstract :
As the increase of computer clock rates has finally begun to reach its stopping point the focus has instead shifted to increasing the number of cores present. This increase in cores is seen most in Graphics Processing Units (GPUs) and other massively parallel processors. These new devices however bring with them new methods for achieving top performance. This paper uses jitter quantification to show the power that a massively parallel device can bring to measurement analysis. The parallel algorithm shown is able to obtain large speed ups over serial implementations and is able to analyze large data sets to provide a more complete picture of nature of the timing jitter in a signal.
Keywords :
clocks; graphics processing units; jitter; time measurement; GPU; computer clock rates; deep memory digital waveforms; graphics processing units; jitter quantification; massively parallel device; massively parallel jitter measurement; massively parallel processors; measurement analysis; timing jitter; Clocks; Data transfer; Graphics processing units; Histograms; Jitter; Throughput; clock recovery; parallel programming; signal analysis; time interval error; timing jitter;
Conference_Titel :
Instrumentation and Measurement Technology Conference (I2MTC), 2013 IEEE International
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4673-4621-4
DOI :
10.1109/I2MTC.2013.6555714