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TeraScale (microarchitecture)

Known as: AMD TeraScale 3, AMD Terascale 2, TeraScale 2 
TeraScale is the codename for a family of graphics processing unit microarchitectures developed by ATI Technologies/AMD and their second… Expand
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Related topics

Related topics

50 relations
AMD Accelerated Processing UnitAMD EyefinityAMD Radeon Rx 200 seriesATI TruForm
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Broader (1)

Parallel computing

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2017
Highly Cited
2017
Global fits of GUT-scale SUSY models with GAMBIT
We present the most comprehensive global fits to date of three supersymmetric models motivated by grand unification: the… Expand
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Highly Cited
2015
Highly Cited
2015
CheckMATE: Confronting your favourite new physics model with LHC data
Abstract In the first three years of running, the LHC has delivered a wealth of new data that is now being analysed. With over 20… Expand
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Highly Cited
2014
Highly Cited
2014
A reliable effective terascale linear learning system
We present a system and a set of techniques for learning linear predictors with convex losses on terascale data sets, with… Expand
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Highly Cited
2011
Highly Cited
2011
Coherent parton showers with local recoils
We outline a new formalism for dipole-type parton showers which maintain exact energy-momentum conservation at each step of the… Expand
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Highly Cited
2010
Highly Cited
2010
Finite top quark mass effects in NNLO Higgs boson production at LHC
We present next-to-next-to-leading order corrections to the inclusive production of the Higgs bosons at the CERN Large Hadron… Expand
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Highly Cited
2008
Highly Cited
2008
Terascale direct numerical simulations of turbulent combustion using S3D
Computational science is paramount to the understanding of underlying processes in internal combustion engines of the future that… Expand
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Highly Cited
2006
Highly Cited
2006
DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis.
The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a e xible and extensible interface… Expand
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Highly Cited
2005
Highly Cited
2005
Randomized Algorithms and NLP: Using Locality Sensitive Hash Functions for High Speed Noun Clustering
In this paper, we explore the power of randomized algorithm to address the challenge of working with very large amounts of data… Expand
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Highly Cited
2005
Highly Cited
2005
CHEETAH: circuit-switched high-speed end-to-end transport architecture testbed
We propose a circuit-switched high-speed end-to-end transport architecture (CHEETAH) as a networking solution to provide high… Expand
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Highly Cited
2004
Highly Cited
2004
Theoretical and practical limits of dynamic voltage scaling
Dynamic voltage scaling (DVS) is a popular approach for energy reduction of integrated circuits. Current processors that use DVS… Expand
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