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IEEEPACT
2008
IEEE
14 years 2 months ago
Mars: a MapReduce framework on graphics processors
We design and implement Mars, a MapReduce framework, on graphics processors (GPUs). MapReduce is a distributed programming framework originally proposed by Google for the ease of ...
Bingsheng He, Wenbin Fang, Qiong Luo, Naga K. Govi...
GVD
2009
191views Database» more  GVD 2009»
13 years 5 months ago
Query Processing on Multi-Core Architectures
The upcoming generation of computer hardware poses several new challenges for database developers and engineers. Software in general and database management systems (DBMSs) in par...
Frank Huber, Johann Christoph Freytag
CLUSTER
2009
IEEE
14 years 2 months ago
Reducing network contention with mixed workloads on modern multicore, clusters
Abstract—Multi-core systems are now extremely common in modern clusters. In the past commodity systems may have had up to two or four CPUs per compute node. In modern clusters, t...
Matthew J. Koop, Miao Luo, Dhabaleswar K. Panda
IJPP
2011
99views more  IJPP 2011»
13 years 2 months ago
Regular Lattice and Small-World Spin Model Simulations Using CUDA and GPUs
Data-parallel accelerator devices such as Graphical Processing Units (GPUs) are providing dramatic performance improvements over even multicore CPUs for lattice-oriented applicatio...
Kenneth A. Hawick, Arno Leist, Daniel P. Playne
IPPS
2007
IEEE
14 years 1 months ago
Load Miss Prediction - Exploiting Power Performance Trade-offs
— Modern CPUs operate at GHz frequencies, but the latencies of memory accesses are still relatively large, in the order of hundreds of cycles. Deeper cache hierarchies with large...
Konrad Malkowski, Greg M. Link, Padma Raghavan, Ma...