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ICS
2010
Tsinghua U.
15 years 9 months ago
Clustering performance data efficiently at massive scales
Existing supercomputers have hundreds of thousands of processor cores, and future systems may have hundreds of millions. Developers need detailed performance measurements to tune ...
Todd Gamblin, Bronis R. de Supinski, Martin Schulz...
ICS
2010
Tsinghua U.
15 years 9 months ago
InterferenceRemoval: removing interference of disk access for MPI programs through data replication
As the number of I/O-intensive MPI programs becomes increasingly large, many efforts have been made to improve I/O performance, on both software and architecture sides. On the sof...
Xuechen Zhang, Song Jiang
CLOUDCOM
2010
Springer
15 years 4 months ago
Using Global Behavior Modeling to Improve QoS in Cloud Data Storage Services
Abstract--The cloud computing model aims to make largescale data-intensive computing affordable even for users with limited financial resources, that cannot invest into expensive i...
Jesús Montes, Bogdan Nicolae, Gabriel Anton...
BMCBI
2011
14 years 10 months ago
PeakRanger: A cloud-enabled peak caller for ChIP-seq data
Background: Chromatin immunoprecipitation (ChIP), coupled with massively parallel short-read sequencing (seq) is used to probe chromatin dynamics. Although there are many algorith...
Xin Feng, Robert Grossman, Lincoln Stein
184
Voted
PPOPP
2010
ACM
16 years 4 months ago
Using data structure knowledge for efficient lock generation and strong atomicity
To achieve high-performance on multicore systems, sharedmemory parallel languages must efficiently implement atomic operations. The commonly used and studied paradigms for atomici...
Gautam Upadhyaya, Samuel P. Midkiff, Vijay S. Pai