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» Mechanisms for Mapping High-Level Parallel Performance Data
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IJCM
2002
73views more  IJCM 2002»
15 years 1 months ago
Space-Time Equations for Non-Unimodular Mappings
Abstract. The class of systems of uniform recurrence equations (UREs) is closed under unimodular transformations. As a result, every systolic array described by a unimodular mappin...
Jingling Xue, Patrick M. Lenders
CLUSTER
2009
IEEE
15 years 8 months ago
Granules: A lightweight, streaming runtime for cloud computing with support, for Map-Reduce
— Cloud computing has gained significant traction in recent years. The Map-Reduce framework is currently the most dominant programming model in cloud computing settings. In this ...
Shrideep Pallickara, Jaliya Ekanayake, Geoffrey Fo...
SIGMOD
2012
ACM
234views Database» more  SIGMOD 2012»
13 years 3 months ago
Oracle in-database hadoop: when mapreduce meets RDBMS
Big data is the tar sands of the data world: vast reserves of raw gritty data whose valuable information content can only be extracted at great cost. MapReduce is a popular parall...
Xueyuan Su, Garret Swart
IPPS
2009
IEEE
15 years 8 months ago
Using hardware transactional memory for data race detection
Abstract—Widespread emergence of multicore processors will spur development of parallel applications, exposing programmers to degrees of hardware concurrency hitherto unavailable...
Shantanu Gupta, Florin Sultan, Srihari Cadambi, Fr...
PC
2007
343views Management» more  PC 2007»
15 years 25 days ago
Runtime scheduling of dynamic parallelism on accelerator-based multi-core systems
We explore runtime mechanisms and policies for scheduling dynamic multi-grain parallelism on heterogeneous multi-core processors. Heterogeneous multi-core processors integrate con...
Filip Blagojevic, Dimitrios S. Nikolopoulos, Alexa...