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PPOPP
2009
ACM
16 years 11 days 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»
14 years 11 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
15 years 4 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
15 years 3 months 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»
14 years 11 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