Field-Programmable Gate Arrays (FPGAs) are being employed in high performance computing systems owing to their potential to accelerate a wide variety of long-running routines. Par...
Uday Bondhugula, Ananth Devulapalli, James Dinan, ...
— We present a field programmable gate array (FPGA) implementation of a turbo-like decoder for a serially concatenated pulse-position modulation (SCPPM) code. NASA developed thi...
Michael K. Cheng, Bruce E. Moision, Jon Hamkins, M...
Our proposed methods employ learning and search techniques to estimate outcome features of interest as a function of mechanism parameter settings. We illustrate our approach with ...
Yevgeniy Vorobeychik, Christopher Kiekintveld, Mic...
Conventional cache models are not suited for real-time parallel processing because tasks may flush each other’s data out of the cache in an unpredictable manner. In this way th...
Anca Mariana Molnos, Marc J. M. Heijligers, Sorin ...
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...