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» Measuring Multicore Performance
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ASPLOS
2008
ACM
15 years 7 months ago
Optimistic parallelism benefits from data partitioning
Recent studies of irregular applications such as finite-element mesh generators and data-clustering codes have shown that these applications have a generalized data parallelism ar...
Milind Kulkarni, Keshav Pingali, Ganesh Ramanaraya...
172
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CLUSTER
2008
IEEE
15 years 6 months ago
Efficient one-copy MPI shared memory communication in Virtual Machines
Efficient intra-node shared memory communication is important for High Performance Computing (HPC), especially with the emergence of multi-core architectures. As clusters continue ...
Wei Huang, Matthew J. Koop, Dhabaleswar K. Panda
BMCBI
2010
153views more  BMCBI 2010»
15 years 4 months ago
Pash 3.0: A versatile software package for read mapping and integrative analysis of genomic and epigenomic variation using massi
Background: Massively parallel sequencing readouts of epigenomic assays are enabling integrative genome-wide analyses of genomic and epigenomic variation. Pash 3.0 performs sequen...
Cristian Coarfa, Fuli Yu, Christopher A. Miller, Z...
EUROPAR
2010
Springer
15 years 3 months ago
A Language-Based Tuning Mechanism for Task and Pipeline Parallelism
Abstract. Current multicore computers differ in many hardware aspects. Tuning parallel applications is indispensable to achieve best performance on a particular hardware platform....
Frank Otto, Christoph A. Schaefer, Matthias Dempe,...
PVLDB
2010
118views more  PVLDB 2010»
15 years 3 months ago
Ten Thousand SQLs: Parallel Keyword Queries Computing
Keyword search in relational databases has been extensively studied. Given a relational database, a keyword query finds a set of interconnected tuple structures connected by fore...
Lu Qin, Jefferey Yu, Lijun Chang