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» A performance prediction model for the CUDA GPGPU platform
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2005
ACM
13 years 12 months ago
Cross-Platform Performance Prediction of Parallel Applications Using Partial Execution
Performance prediction across platforms is increasingly important as developers can choose from a wide range of execution platforms. The main challenge remains to perform accurate...
Leo T. Yang, Xiaosong Ma, Frank Mueller
ASPLOS
2011
ACM
12 years 10 months ago
Sponge: portable stream programming on graphics engines
Graphics processing units (GPUs) provide a low cost platform for accelerating high performance computations. The introduction of new programming languages, such as CUDA and OpenCL...
Amir Hormati, Mehrzad Samadi, Mark Woh, Trevor N. ...
MICRO
2010
IEEE
153views Hardware» more  MICRO 2010»
13 years 4 months ago
Throughput-Effective On-Chip Networks for Manycore Accelerators
As the number of cores and threads in manycore compute accelerators such as Graphics Processing Units (GPU) increases, so does the importance of on-chip interconnection network des...
Ali Bakhoda, John Kim, Tor M. Aamodt
PPOPP
2010
ACM
14 years 1 months ago
An adaptive performance modeling tool for GPU architectures
This paper presents an analytical model to predict the performance of general-purpose applications on a GPU architecture. The model is designed to provide performance information ...
Sara S. Baghsorkhi, Matthieu Delahaye, Sanjay J. P...
COMPSAC
2007
IEEE
14 years 19 days ago
Performance Prediction of Service-Oriented Applications based on an Enterprise Service Bus
An Enterprise Service Bus (ESB) is a standards-based integration platform that combines messaging, web services, data transformation, and intelligent routing in a highly distribut...
Yan Liu, Ian Gorton, Liming Zhu