This paper presents a novel optimizing compiler for general purpose computation on graphics processing units (GPGPU). It addresses two major challenges of developing high performa...
Differential privacy is a robust privacy standard that has been successfully applied to a range of data analysis tasks. But despite much recent work, optimal strategies for answe...
Chao Li, Michael Hay, Vibhor Rastogi, Gerome Mikla...
Microprocessors are today getting more and more inefficient for a growing range of applications. Its principles -The Von Neumann paradigm[3]- based on the sequential execution of ...
Clusters of workstations have become a cost-effective means of performing scientific computations. However, large network latencies, resource sharing, and heterogeneity found in ...
Applications ranging from location-based services to multi-player online gaming require continuous query support to monitor, track, and detect events of interest among sets of mov...