approx2014.cs.umass.edu

APPROX 2014

First SIGPLAN Workshop on Probabilistic and Approximate Computing. Co-located with PLDI 2014. In Edinburgh, Scotland. June 13, 2014. Topics considered in-scope for the workshop include:. Mechanisms for approximation in hardware and software. Abstractions for approximation and uncertainty in programs (PL support). Performance and efficiency improvements based on approximation. Domain-specific solutions using approximate computing. Incorporating results from machine learning as approximations in programs.

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APPROX 2014 | approx2014.cs.umass.edu Reviews

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First SIGPLAN Workshop on Probabilistic and Approximate Computing. Co-located with PLDI 2014. In Edinburgh, Scotland. June 13, 2014. Topics considered in-scope for the workshop include:. Mechanisms for approximation in hardware and software. Abstractions for approximation and uncertainty in programs (PL support). Performance and efficiency improvements based on approximation. Domain-specific solutions using approximate computing. Incorporating results from machine learning as approximations in programs.

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4 approximation and privacy/security

5 organization

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8 ben zorn

9 microsoft research

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APPROX 2014 | approx2014.cs.umass.edu Reviews

https://approx2014.cs.umass.edu

First SIGPLAN Workshop on Probabilistic and Approximate Computing. Co-located with PLDI 2014. In Edinburgh, Scotland. June 13, 2014. Topics considered in-scope for the workshop include:. Mechanisms for approximation in hardware and software. Abstractions for approximation and uncertainty in programs (PL support). Performance and efficiency improvements based on approximation. Domain-specific solutions using approximate computing. Incorporating results from machine learning as approximations in programs.

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antonio.filieri.name

Publications by type - Antonio Filieri

http://www.antonio.filieri.name/publications

Contemplate consistent notions having more than mere internal consistency; they have a positive drive to come into being. The more they have of this, the more possible they are. The possible demands existence by its very nature, in proportion to its possibility, that is to say, its degree of essence. Gottfried Wilhelm von Leibniz. Workshops and special tracks. See publication by year. Check also on Google Schoolar. 2015), 13 24, [Acceptance rate 74/291, 25.4%]. Proceedings of the 10th International Sympo...

conferences.inf.ed.ac.uk

PLDI 2014 :: Programming Language Design and Implementation

http://conferences.inf.ed.ac.uk/pldi2014

9 June 2014 - 11 June 2014. PLDI 2014 is over! PLDI 2014 is the 35th annual ACM. Conference on Programming Language Design and Implementation. PLDI is a forum where researchers, developers, educators, and practitioners exchange information on the latest practical and experimental work in the design and implementation of programming languages. PLDI seeks original research papers that focus on the design, implementation, development, and use of programming languages. The document Practices of PLDI. Marketi...

adriansampson.net

Adrian Sampson: CV

http://adriansampson.net/cv

Cornell University Department of Computer Science. PhD, Computer Science and Engineering. Dissertation: Hardware and Software for Approximate Computing. Bachelor of Science with High Distinction, Computer Science. Ldquo;Probability Type Inference for Flexible Approximate Programming.”. Brett Boston, Adrian Sampson, Dan Grossman, and Luis Ceze. Ldquo;Hardware Software Co-Design: Not Just a Cliche.”. Adrian Sampson, James Bornholt, and Luis Ceze. Ldquo;Approximate Storage in Solid-State Memories.”. Ldquo;A...

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approx2014.cs.umass.edu

APPROX 2014

First SIGPLAN Workshop on Probabilistic and Approximate Computing. Co-located with PLDI 2014. In Edinburgh, Scotland. June 13, 2014. Topics considered in-scope for the workshop include:. Mechanisms for approximation in hardware and software. Abstractions for approximation and uncertainty in programs (PL support). Performance and efficiency improvements based on approximation. Domain-specific solutions using approximate computing. Incorporating results from machine learning as approximations in programs.

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Approximately 31 Annotated Boxes

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