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HPCC
2009
Springer
15 years 8 months ago
Kahn Process Networks are a Flexible Alternative to MapReduce
Experience has shown that development using shared-memory concurrency, the prevalent parallel programming paradigm today, is hard and synchronization primitives nonintuitive becaus...
Zeljko Vrba, Pål Halvorsen, Carsten Griwodz,...
ICPP
2009
IEEE
15 years 11 months ago
Speeding Up Distributed MapReduce Applications Using Hardware Accelerators
—In an attempt to increase the performance/cost ratio, large compute clusters are becoming heterogeneous at multiple levels: from asymmetric processors, to different system archi...
Yolanda Becerra, Vicenç Beltran, David Carr...
CLOUDCOM
2010
Springer
15 years 3 months ago
Evaluation of MapReduce for Gridding LIDAR Data
-- The MapReduce programming model, introduced by Google, has become popular over the past few years as a mechanism for processing large amounts of data, using sharednothing parall...
Sriram Krishnan, Chaitanya K. Baru, Christopher J....
HPCA
2007
IEEE
16 years 5 months ago
Evaluating MapReduce for Multi-core and Multiprocessor Systems
This paper evaluates the suitability of the MapReduce model for multi-core and multi-processor systems. MapReduce was created by Google for application development on data-centers...
Colby Ranger, Ramanan Raghuraman, Arun Penmetsa, G...
160
Voted
HPDC
2010
IEEE
15 years 6 months ago
Multi-GPU volume rendering using MapReduce
In this paper we present a multi-GPU parallel volume rendering implemention built using the MapReduce programming model. We give implementation details of the library, including s...
Jeff A. Stuart, Cheng-Kai Chen, Kwan-Liu Ma, John ...