—“Big Data” in map-reduce (M-R) clusters is often fundamentally temporal in nature, as are many analytics tasks over such data. For instance, display advertising uses Behavio...
Badrish Chandramouli, Jonathan Goldstein, Songyun ...
Image understanding involves analyzing many different aspects of the scene. In this paper, we are concerned with how these tasks can be combined in a way that improves the perform...
This paper addresses the problem of extracting coarse-grained parallelism from large sequential code. It builds on BOP, a system for software speculative parallelization. BOP lets...
Converting mathematical documents from a human-friendly natural language to a form that can be readily processed by computers is often a tedious, manual task. Translating between v...
Many wireless sensor nodes (motes) interface with slow peripheral devices, requiring the processor to wait. These delays waste time, energy and power, which are valuable but limit...