Výsledky vyhledávání - "Patrick Quick"

Good omens : a collaborative authorship analysis

Autor: Leonardo Grotti, Mona Allaert, Patrick Quick

Publikováno v: CHR 2022: Computational Humanities Research Conference, December 12–14, 2022, Antwerp, Belgium

Good Omens is a collaborative novel written by Terry Pratchett and Neil Gaiman. Rising interest in the book, amplified by the success of the recent screen adaptation, has aroused curiosity regarding its realization. We use Rolling Delta and Rolling C

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97daccbb8d9eda5c510295612acc26ea
https://repository.uantwerpen.be/docstore/d:irua:17934

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Two-level branch prediction using neural networks

Autor: Colin Egan, Rubén Anguera, Fleur L. Steven, G.B. Steven, Lucian Vintan, Patrick Quick

Publikováno v: Journal of Systems Architecture. 49:557-570

Dynamic branch prediction in high-performance processors is a specific instance of a general time series prediction problem that occurs in many areas of science. Most branch prediction research focuses on two-level adaptive branch prediction techniqu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::648323d89ced0029ad769b8d8c89c4ff
https://doi.org/10.1016/s1383-7621(03)00095-x

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Mirroring, Deixis, and Interaction Topology in the Emergence of Shared Vocabularies

Autor: Jean Baillie, Chrystopher L. Nehaniv, Sandra Warren, Patrick Quick, Attila Egri-Nagy

Publikováno v: New Frontiers in Artificial Intelligence ISBN: 9783540710080

Neuroscientists have suggested that the mirror-neurons in our primate ancestors may have provided a substrate for the emergence of language in humans. Simulation studies of the emergence of language, using minimal implementations of proposed mechanis

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6e5280cee1b087a97142ec9aca6afd97
https://doi.org/10.1007/978-3-540-71009-7_29

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Towards an Energy Efficient Branch Prediction Scheme Using Profiling, Adaptive Bias Measurement and Delay Region Scheduling

Autor: Bruce Christianson, Patrick Quick, Colin Egan, Michael A. Hicks

Dynamic branch predictors account for between 10% and 40% of a processor's dynamic power consumption. This power cost is proportional to the number of accesses made to that dynamic predictor during a program's execution. In this paper we propose the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd822185c297ed6748af70b1fd9d0462
http://hdl.handle.net/2299/1005

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Reducing the Branch Power Cost In Embedded Processors Through Static Scheduling, Profiling and SuperBlock Formation

Autor: Bruce Christianson, Colin Egan, Michael A. Hicks, Patrick Quick

Publikováno v: University of Hertfordshire
Advances in Computer Systems Architecture ISBN: 9783540400561
Asia-Pacific Computer Systems Architecture Conference

Dynamic branch predictor logic alone accounts for approximately 10% of total processor power dissipation. Recent research indicates that the power cost of a large dynamic branch predictor is offset by the power savings created by its increased accura

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21da9f6d4a9079991e9e52e7621c4332
https://researchprofiles.herts.ac.uk/portal/en/publications/reducing-the-branch-power-cost-in-embedded-processors-through-static-scheduling-profiling-and-superblock-formation(d907db6c-06b0-460f-bdf9-297bc58725f9).html

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