We present an overview of our ongoing work on parallelizing self-adjusting-computation techniques. In self-adjusting computation, programs can respond to changes to their data (e....
Matthew Hammer, Umut A. Acar, Mohan Rajagopalan, A...
In this paper, we evaluate an adaptive loop parallelization strategy (i.e., a strategy that allows each loop nest to execute using different number of processors if doing so is be...
Ismail Kadayif, Mahmut T. Kandemir, Mustafa Karak&...
The discovery of frequently occurring patterns in a time series could be important in several application contexts. As an example, the analysis of frequent patterns in biomedical ...
This corresponds to the material in the invited keynote presentation by H. J. Siegel, summarizing the research in [2, 23]. Resource allocation decisions in heterogeneous parallel a...
Vladimir Shestak, Howard Jay Siegel, Anthony A. Ma...
In time series analysis, inference about causeeffect relationships among multiple times series is commonly based on the concept of Granger causality, which exploits temporal struc...