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PPOPP
2009
ACM
14 years 9 months ago
Serialization sets: a dynamic dependence-based parallel execution model
This paper proposes a new parallel execution model where programmers augment a sequential program with pieces of code called serializers that dynamically map computational operati...
Matthew D. Allen, Srinath Sridharan, Gurindar S. S...
TODAES
1998
68views more  TODAES 1998»
13 years 8 months ago
Specification and verification of pipelining in the ARM2 RISC microprocessor
Abstract State Machines (ASMs) provide a sound mathematical basis for the specification and verification of systems. An application of the ASM methodology to the verification of a ...
James K. Huggins, David Van Campenhout
AIME
2009
Springer
14 years 1 months ago
Prediction of Mechanical Lung Parameters Using Gaussian Process Models
Abstract. Mechanical ventilation can cause severe lung damage by inadequate adjustment of the ventilator. We introduce a Machine Learning approach to predict the pressure-dependent...
Steven Ganzert, Stefan Kramer, Knut Möller, D...
ECML
2006
Springer
14 years 11 days ago
Bayesian Learning of Markov Network Structure
Abstract. We propose a simple and efficient approach to building undirected probabilistic classification models (Markov networks) that extend na
Aleks Jakulin, Irina Rish
JAR
2006
103views more  JAR 2006»
13 years 8 months ago
A Framework for Verifying Bit-Level Pipelined Machines Based on Automated Deduction and Decision Procedures
We describe an approach to verifying bit-level pipelined machine models using a combination of deductive reasoning and decision procedures. While theorem proving systems such as AC...
Panagiotis Manolios, Sudarshan K. Srinivasan