GUMSMP: a scalable parallel Haskell implementation.

Reliable Massively Parallel Symbolic Computing: Fault Tolerance for a Distributed Haskell. The PhD thesis is available for download. A compiled PDF here; Thesis source: org-mode thesis, images, plot generation R scripts and results on GitHub here. Haskell implementation of HdpH-RS on GitHub here.

Dissertation hypothermie. Edwards, Carwyn Phd innate response to uropathogens:. About, Orarat The role of Jacob1 help ammonium uptake and osmotic stress tolerance in relation to nitrogen supply. Gothard, Elizabeth Jane Haskell healing, a multidisciplinary approach.

This thesis is about the design and implementation of a debugging tool which helps Haskell programmers understand why their programs do not work as intended.

GUMSMP: a scalable parallel Haskell implementation (PDF and Abstract) Malak Al Jabri PhD Thesis, School of Computing Science, University of Glasgow, November, 2015. The scalability of reliable computation in Erlang (PDF and Abstract) Amir Ghaffari PhD Thesis, School of Computing Science, University of Glasgow, October, 2015.

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Talks PhD thesis defenses. PhD thesis defenses are a public affair and open to anyone who is interested. Attending them is a great way to get to know the work going on by your peers in the various research groups. Follow this link to find the list of upcoming and past defenses. PhD thesis proposal talks.

FAD: A Functional Analysis and Design Methodology. It is a Phd thesis written by Dan Russell. Computing Laboratory, University of Kent at Canterbury, January 2001. Abstract. This thesis presents the functional analysis and design methodology FAD.

Uli's research focuses on computational modeling of cognitive disorders, including schizophrenic story processing and damage and rehabilitation in the bilingual lexicon. He has also developed methods for evolving wavelets for image compression. Ralph Hoffman of Yale was a co-advisor of his dissertation.

The PhD thesis GUMSMP: a scalable parallel Haskell implementation; by Malak Aljabri describes an implementation of GpH on clusters of multi-cores.

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Overview. After finishing my PhD in 1998 at RWTH Aachen under the supervision of Franz Baader, I continued to work in Baader's research group in Aachen and, after 2002, in Dresden, where I completed my habilitation in 2003.In the same year, I started as a Senior Lecturer in the Information Management Group of the Computer Science Department at the University of Manchester, where I am currently.

In this dissertation, I describe Dependent Haskell, which supports full dependent types via a backward-compatible extension to today's Haskell. An important contribution of this work is an implementation, in GHC, of a portion of Dependent Haskell, with the rest to follow. The features I have implemented are already released, in GHC 8.0.