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» Production of Large Computer Programs
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NIPS
1998
15 years 3 months ago
Using Analytic QP and Sparseness to Speed Training of Support Vector Machines
Training a Support Vector Machine (SVM) requires the solution of a very large quadratic programming (QP) problem. This paper proposes an algorithm for training SVMs: Sequential Mi...
John C. Platt
124
Voted
MICRO
2002
IEEE
159views Hardware» more  MICRO 2002»
15 years 7 months ago
Master/slave speculative parallelization
Master/Slave Speculative Parallelization (MSSP) is an execution paradigm for improving the execution rate of sequential programs by parallelizing them speculatively for execution ...
Craig B. Zilles, Gurindar S. Sohi
ISPAN
2009
IEEE
15 years 9 months ago
High-Performance Cloud Computing: A View of Scientific Applications
— Scientific computing often requires the availability of a massive number of computers for performing large scale experiments. Traditionally, these needs have been addressed by ...
Christian Vecchiola, Suraj Pandey, Rajkumar Buyya
KDD
2005
ACM
171views Data Mining» more  KDD 2005»
16 years 2 months ago
Deriving marketing intelligence from online discussion
Weblogs and message boards provide online forums for discussion that record the voice of the public. Woven into this mass of discussion is a wide range of opinion and commentary a...
Natalie S. Glance, Matthew Hurst, Kamal Nigam, Mat...
122
Voted
DAC
1998
ACM
15 years 6 months ago
OCCOM: Efficient Computation of Observability-Based Code Coverage Metrics for Functional Verification
—Functional simulation is still the primary workhorse for verifying the functional correctness of hardware designs. Functional verification is necessarily incomplete because it i...
Farzan Fallah, Srinivas Devadas, Kurt Keutzer