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» Tuple-based abstract data types: full parallelism
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ISNN
2005
Springer
14 years 28 days ago
A SIMD Neural Network Processor for Image Processing
Abstract. Artificial Neural Networks (ANNs) and image processing requires massively parallel computation of simple operator accompanied by heavy memory access. Thus, this type of ...
Dongsun Kim, Hyunsik Kim, Hongsik Kim, Gunhee Han,...
HPCC
2005
Springer
14 years 28 days ago
A Loop-Aware Search Strategy for Automated Performance Analysis
Abstract. Automated online search is a powerful technique for performance diagnosis. Such a search can change the types of experiments it performs while the program is running, mak...
Eli D. Collins, Barton P. Miller
PPOPP
2010
ACM
14 years 2 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...
FDL
2007
IEEE
13 years 11 months ago
Transaction Level Modelling: A reflection on what TLM is and how TLMs may be classified
Transaction-level modelling (TLM) is a poorlyterm, promising a level of abstraction like RTL (register transfer level), where the key feature is a `transaction'. But unlike r...
Mark Burton, James Aldis, Robert Günzel, Wolf...
ICEIS
2005
IEEE
14 years 1 months ago
Conditions for Interoperability
Abstract: Interoperability for information systems remains a challenge both at the semantic and organisational levels. The original three-level architecture for local databases nee...
B. Nick Rossiter, Michael A. Heather