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» Using Execution Trace Data to Improve Distributed Systems
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CLUSTER
2006
IEEE
15 years 3 months ago
A taxonomy of application scheduling tools for high performance cluster computing
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 ...
SIGMOD
2010
ACM
221views Database» more  SIGMOD 2010»
15 years 8 months ago
Low overhead concurrency control for partitioned main memory databases
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...
Evan P. C. Jones, Daniel J. Abadi, Samuel Madden
153
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EGH
2010
Springer
15 years 1 months ago
Parallel SAH k-D tree construction
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...
SC
2009
ACM
15 years 10 months ago
Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems
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...
Jianwu Wang, Daniel Crawl, Ilkay Altintas
DOLAP
2004
ACM
15 years 8 months ago
Experimental evidence on partitioning in parallel data warehouses
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 ...
Pedro Furtado