Application scheduling plays an important role in high-performance cluster computing. Application scheduling can be classified as job scheduling and task scheduling. This paper pre...
Jiannong Cao, Alvin T. S. Chan, Yudong Sun, Sajal ...
Database partitioning is a technique for improving the performance of distributed OLTP databases, since “single partition” transactions that access data on one partition do no...
The k-D tree is a well-studied acceleration data structure for ray tracing. It is used to organize primitives in a scene to allow efficient execution of intersection operations be...
Byn Choi, Rakesh Komuravelli, Victor Lu, Hyojin Su...
MapReduce provides a parallel and scalable programming model for data-intensive business and scientific applications. MapReduce and its de facto open source project, called Hadoop...
Parallelism can be used for major performance improvement in large Data warehouses (DW) with performance and scalability challenges. A simple low-cost shared-nothing architecture ...