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Data-parallel computing

ACM SIGGRAPH 2008 classes, 2008
Users always care about performance. Although often it's just a matter of making sure the software is doing only what it should, there are many cases where it is vital to get down to the metal and leverage the fundamental characteristics of the processor.Until recently, performance improvement was not difficult.
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Data optimised computing for heterogeneous big data computing applications

2015 IEEE International Conference on Big Data (Big Data), 2015
The rise of big science techniques is reshaping the provisioning of computing resources and scientific software in large science facilities. As facilities are gearing up for data intensive computing infrastructure, a wave of facility-based big science computing platforms is emerging.
Erica Yang   +6 more
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On Computing with Spatial Data

The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05., 2005
Space plays a fundamental role in human cognition. In everyday situations, it is often viewed as a construct induced by spatial relationships, rather than as a container that exists independently of the objects located in it. A variety of formalisms naturally deal with space on the basis of relations between objects.
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A high speed computer‐to‐computer data link

Software: Practice and Experience, 1972
AbstractThe ICL 1905E at Queen Mary College, London and the CDC 6600 at the University of London Computer Centre, have been linked by a 48 kilobaud Post Office line. Jobs can be transmitted from the 1905E to the 6600, and resuts returned to the 1905E. A modified CDC data terminal (the QSE 2815) is installed at QMC, and is connected to the 1905E through
D. E. Cronin, J. P. Brandon
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Data Sharing for Computational Neuroscience

Neuroinformatics, 2008
Computational neuroscience is a subfield of neuroscience that develops models to integrate complex experimental data in order to understand brain function. To constrain and test computational models, researchers need access to a wide variety of experimental data.
Jeffrey L. Teeters   +4 more
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ON THE CONVERGENCE OF COMPUTATIONAL AND DATA GRIDS

Parallel Processing Letters, 2001
Great advances in high-performance computing have given rise to scientific applications that place large demands on software and hardware infrastructures for both computational and data services. With these trends the necessity has emerged for distributed systems developers that once distinguished between these elements to acknowledge that indeed ...
Arnold, D. C.   +2 more
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Computing on Encrypted Data

2009
What if you want to query a search engine, but don't want to tell the search engine what you are looking for? Is there a way that you can encrypt your query, such that the search engine can process your query without your decryption key, and send back an (encrypted) response that is well-formed and concise (up to some upper bound on length that you ...
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Cloud computing & big data computing

Proceedings of the 3rd International Conference on Computing for Geospatial Research and Applications, 2012
The amount of data each organization deals with today has been rapidly growing. However, analyzing large datasets commonly referred to as "big data" has been a huge challenge due to lack of suitable tools and adequate computing resources. Why are organizations, both in public sector and private sector, so keen on unlocking business insights from all ...
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