16 citations · 35 across the 15 of their papers we have counts for
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cs.DC2016★ 12 cited
Understanding and Optimizing the Performance of Distributed Machine Learning Applications on Apache Spark
Celestine Dünner, Thomas Parnell, Kubilay Atasu +2
In this paper we explore the performance limits of Apache Spark for machine learning applications. We begin by analyzing the characteristics of a state-of-the-art distributed machi…
cs.ET2016★ 1 cited
Towards Programmable Network Dynamics: A Chemistry-Inspired Abstraction for Hardware Design
Massimo Monti, Manolis Sifalakis, Christian F. Tschudin +1
Chemical algorithms are statistical algorithms described and represented as chemical reaction networks. They are particularly attractive for traffic shaping and general control of…