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107
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HPCC
2007
Springer
15 years 8 months ago
Throttling I/O Streams to Accelerate File-IO Performance
To increase the scale and performance of scientific applications, scientists commonly distribute computation over multiple processors. Often without realizing it, file I/O is pa...
Seetharami R. Seelam, Andre Kerstens, Patricia J. ...
102
Voted
JSA
2006
114views more  JSA 2006»
15 years 2 months ago
Distributed computing using Java: A comparison of two server designs
This paper proposes a new concurrent data structure, called parallel hash table, for synchronizing the access of multiple threads to resources stored in a shared buffer. We prove ...
Boris Roussev, Jie Wu
136
Voted
IPPS
2007
IEEE
15 years 8 months ago
Scalable, Distributed, Dynamic Resource Management for the ARMS Distributed Real-Time Embedded System
We present a scalable, hierarchical control system for the dynamic resource management of a distributed real-time embedded (DRE) system. This DRE is inspired by the DARPA Adaptive...
Kurt Rohloff, Yarom Gabay, Jianming Ye, Richard E....
IPPS
2010
IEEE
15 years 3 days ago
BlobSeer: Bringing high throughput under heavy concurrency to Hadoop Map-Reduce applications
Hadoop is a software framework supporting the Map/Reduce programming model. It relies on the Hadoop Distributed File System (HDFS) as its primary storage system. The efficiency of ...
Bogdan Nicolae, Diana Moise, Gabriel Antoniu, Luc ...
116
Voted
PPPJ
2009
ACM
15 years 9 months ago
Tracking performance across software revisions
Repository-based revision control systems such as CVS, RCS, Subversion, and GIT, are extremely useful tools that enable software developers to concurrently modify source code, man...
Nagy Mostafa, Chandra Krintz