Bryant Lee
Carnegie Mellon University
7 Papers
62 Citations
Bryant Lee is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Dialog box & Context (language use). The author has an hindex of 4, co-authored 7 publications.
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Papers
•Proceedings Article
Models for Advancing PRAM and Other Algorithms into Parallel Programs for a PRAM-On-Chip Platform ∗
Uzi Vishkin,George C. Caragea,Bryant Lee +2 more
- 18 May 2006
TL;DR: The paper suggests that parallel programming in the emerging multi-core era does not need to be more difficult than serial programming, and a powerful answer to the so-called parallel programming open problem is being provided.
Jointly Periodic Points in Cellular Automata: Computer Explorations and Conjectures
Mike Boyle,Bryant Lee +1 more
TL;DR: In this article, the authors develop a rather elaborate computer program to investigate the jointly periodic points of one-dimensional cellular automata. But their work is limited to the case where the automata have a fixed number of points.
•Posted Content
Jointly periodic points in cellular automata: computer explorations and conjectures
Mike Boyle,Bryant Lee +1 more
TL;DR: This work develops a rather elaborate computer program to investigate the jointly periodic points of one-dimensional cellular automata and results lead to questions, conjectures, and a contextual theorem.
XMT-GPU: A PRAM Architecture for Graphics Computation
T.M. DuBois,Bryant Lee,Yi Wang,Marc Olano,Uzi Vishkin +4 more
- 09 Sep 2008
TL;DR: The design tradeoffs that would allow combining the best of both worlds: a competitive XMT texture shader, with a general-purpose easy-to-program XMT many-core approach that scales up or down to the amount of parallelism provided by the application and is even compatible with serial code.
On the Types, Frequency, Uses and Characteristics of Meta-language in Conversation
Michael W. Anderson,Jon Go,Bryant Lee,Shuda Li,Ben Sutandio,LuoYan Zhou +5 more
- 01 Jan 2006
TL;DR: For instance, Anderson et al. as mentioned in this paper conducted a corpus study on the use of meta-language in the British National Corpus (BNC) and found a high degree of correlation with instances of dialog management, and automated detection of meta language should be feasible, based on word-frequency analysis.