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Parallel asynchronous modelization and execution of cholesky algorithm using petri nets
(2013)
Parallelization of algorithms with hard data dependency has a need of task synchronization. Synchronous parallel versions are simple to model and program, but inefficient in terms of scalability and processors use rate. ...
Asynchronous teams for joint lot-sizing and scheduling problem in flow shops
(Taylor and Francis LtdAbingdon, 2012)
The integrated production scheduling and lot-sizing problem in a flow shop environment consists of establishing production lot sizes and allocating machines to process them within a planning horizon in a production line ...
Effectiveness of a Train the Trainers course for digital feedback in healthcare simulation via a remote and asynchronous learning program
(2024)
Introduction
With a growing demand for tutoring in medical education, the need for Train the Trainers courses have increased. These courses can be difficult to coordinate between trainer and trainee (trainers in training). ...
An adaptive programming model for fault-tolerant distributed computing
(2007)
The capability of dynamically adapting to distinct runtime conditions is an important issue when designing distributed systems where negotiated quality of service (QoS) cannot always be delivered between processes. Providing ...
CAI Asynchronous Methodology for Emergency Remote Teaching: An Experience in Introduction to Programming
(IEEE Computer Society, 2021)
Asynchronous Programming Model For The Concurrent Solution Of The Security Constrained Optimal Power Flow Problem
(IEEE, Piscataway, NJ, United States, 1994)
The PN-PEM framework: a Petri Net Based Parallel Execution Model
(Universidad Nacional de La Plata. Facultad de Informática, 2015-11)
This paper introduces the PN-PEM framework. It is based on the representation of an algorithm with Petri Nets. Frequently, a real algorithm needs a large Petri Net to be represented. We present a way to model an algorithm ...
PARALLEL SYNCRHRONOUS ALGORITHM FOR NONLINEAR FIXED POINT PROBLEMS
(Universidad Católica del Norte, Departamento de Matemáticas, 2004)