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2009
IEEE
14 years 3 months ago
Analyzing massive astrophysical datasets: Can Pig/Hadoop or a relational DBMS help?
Abstract— As the datasets used to fuel modern scientific discovery grow increasingly large, they become increasingly difficult to manage using conventional software. Parallel d...
Sarah Loebman, Dylan Nunley, YongChul Kwon, Bill H...
BIB
2010
103views more  BIB 2010»
13 years 6 months ago
Challenges of sequencing human genomes
Massively parallel sequencing technologies continue to alter the study of human genetics. As the cost of sequencing declines, next-generation sequencing (NGS) instruments and data...
Daniel C. Koboldt, Li Ding, Elaine R. Mardis, Rich...
HPCA
2000
IEEE
14 years 1 months ago
PowerMANNA: A Parallel Architecture Based on the PowerPC MPC620
The paper presents PowerMANNA - a distributed-memory parallel computer system based on the 64-Bit PowerPC processor MPC620. The PowerMANNA node architecture supports all the sophi...
Peter M. Behr, S. Pletner, Angela C. Sodan
ICS
2010
Tsinghua U.
13 years 11 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...
DEBS
2008
ACM
13 years 10 months ago
BFSiena: a communication substrate for StreamMine
StreamMine is a scalable middleware for massive real-time data streaming. In this paper we present the BFSiena: a communication substrate for the StreamMine. BFSiena is a content-...
Zbigniew Jerzak, Christof Fetzer