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» Computers and Thought Award : Challenges of Massive Parallel...
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ICDCSW
2002
IEEE
13 years 11 months ago
Efficient Massive Sharing of Content among Peers
In this paper we focus on the design of high performance peer-to-peer content sharing systems. In particular, our goal is to achieve global load balancing and short user-request r...
Peter Triantafillou, Chryssani Xiruhaki, Manolis K...
CLUSTER
2009
IEEE
14 years 1 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...
ARCS
1997
Springer
13 years 10 months ago
Hardware-Supported Fault Tolerance for Multiprocessors
To provide a computing system to be dependable fault tolerance mechanisms have to be included. Especially massive parallelism represents a new challenge for fault tolerance. In th...
Mario Dal Cin, Wolfgang Hohl, Volkmar Sieh
ICS
2010
Tsinghua U.
13 years 8 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...
ICDE
2010
IEEE
227views Database» more  ICDE 2010»
14 years 1 months ago
Incorporating partitioning and parallel plans into the SCOPE optimizer
— Massive data analysis on large clusters presents new opportunities and challenges for query optimization. Data partitioning is crucial to performance in this environment. Howev...
Jingren Zhou, Per-Åke Larson, Ronnie Chaiken