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» Analyzing concurrency in streaming applications
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ICST
2008
IEEE
14 years 3 months ago
Verifying and Analyzing Adaptive Logic through UML State Models
It is becoming increasingly important to be able to adapt an application’s behavior at run time in response to changing requirements and environmental conditions. Adaptive progr...
Andres J. Ramirez, Betty H. C. Cheng
IPPS
2010
IEEE
13 years 6 months ago
Analyzing the trade-off between multiple memory controllers and memory channels on multi-core processor performance
Increasing the core-count on current and future processors is posing critical challenges to the memory subsystem to efficiently handle concurrent memory requests. The current tren...
José Carlos Sancho, Michael Lang 0003, Darr...
ISPASS
2009
IEEE
14 years 3 months ago
Analyzing CUDA workloads using a detailed GPU simulator
Modern Graphic Processing Units (GPUs) provide sufficiently flexible programming models that understanding their performance can provide insight in designing tomorrow’s manyco...
Ali Bakhoda, George L. Yuan, Wilson W. L. Fung, He...
IDEAS
2007
IEEE
148views Database» more  IDEAS 2007»
14 years 2 months ago
Adaptive Execution of Stream Window Joins in a Limited Memory Environment
A sliding window join (SWJoin) is becoming an integral operation in every stream data management system. In some streaming applications the increasing volume of streamed data as w...
Fatima Farag, Moustafa A. Hammad
OWLED
2007
13 years 10 months ago
Use of OWL for Describing Stream Processing Components to Enable Automatic Composition
Stream Processing Applications analyze large volumes of streaming data in real-time. These applications, consist of data sources, which produce raw streams, and processing elements...
Zhen Liu, Anand Ranganathan, Anton Riabov