Software distributed-shared-memory (DSM) systems providean appealingtarget for parallelizing compilers due to their flexibility. Previous studies demonstrate such systems can prov...
Advances in data collection technologies allow accumulation of large and high dimensional datasets and provide opportunities for learning high quality classification and regression...
The usefulness of the results produced by data mining methods can be critically impaired by several factors such as (1) low quality of data, including errors due to contamination, ...
Fang Chu, Yizhou Wang, Carlo Zaniolo, Douglas Stot...
The data allocation problem in incomplete information environments consisting of self-motivated servers responding to users' queries is considered. Periodically, the servers ...
We demonstrate that data reordering can substantially improve the performance of fine-grained irregular sharedmemory benchmarks, on both hardware and software shared-memory syste...