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» Parallel processing flow models on desktop hardware
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HPDC
2010
IEEE
13 years 9 months ago
MOON: MapReduce On Opportunistic eNvironments
MapReduce offers a flexible programming model for processing and generating large data sets on dedicated resources, where only a small fraction of such resources are every unavaila...
Heshan Lin, Xiaosong Ma, Jeremy S. Archuleta, Wu-c...
SIGMOD
2009
ACM
136views Database» more  SIGMOD 2009»
14 years 8 months ago
A comparison of approaches to large-scale data analysis
There is currently considerable enthusiasm around the MapReduce (MR) paradigm for large-scale data analysis [17]. Although the basic control flow of this framework has existed in ...
Andrew Pavlo, Erik Paulson, Alexander Rasin, Danie...
IPPS
2010
IEEE
13 years 6 months ago
Performance modeling of heterogeneous systems
Predicting how well applications may run on modern systems is becoming increasingly challenging. It is no longer sufficient to look at number of floating point operations and commu...
Jan Christian Meyer, Anne C. Elster
GIS
2010
ACM
13 years 6 months ago
Natural neighbor interpolation based grid DEM construction using a GPU
With modern LiDAR technology the amount of topographic data, in the form of massive point clouds, has increased dramatically. One of the most fundamental GIS tasks is to construct...
Alex Beutel, Thomas Mølhave, Pankaj K. Agar...
CASES
2008
ACM
13 years 10 months ago
Multi-granularity sampling for simulating concurrent heterogeneous applications
Detailed or cycle-accurate/bit-accurate (CABA) simulation is a critical phase in the design flow of embedded systems. However, with increasing system complexity, full detailed sim...
Melhem Tawk, Khaled Z. Ibrahim, Smaïl Niar