JOURNAL ARTICLE

Pattern Matching of Parallel Values in Bulk Synchronous Parallel ML.

Frédéric GavaFrédéric LoulergueFrédéric Dabrowski

Year: 2003 Journal:   Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing Vol: 138 (3)Pages: 301-308

Abstract

In recent years, several new antimicrobials have become available that are safer and more effective compared with older agents commonly used in obstetrics. Basic knowledge of these agents is of paramount importance to obstetricians and maternal fetal medicine specialists, as administration of early adequate broad-spectrum empiric antibiotic coverage plays a pivotal role in the management of septic patients. Of particular importance is the critically ill pregnant patient with life-threatening infectious processes in whom poor initial antibiotic selection may result in higher mortality and significant side effects from antibiotics themselves. In this article we aim to provide a guide for clinicians to select an adequate empirical antibiotic regimen for the most common severe infections that may affect pregnant individuals.

Keywords:
Bulk synchronous parallel Computer science Asynchronous communication Parallel computing Matching (statistics) Parallel programming model Functional programming Parallel algorithm Concurrent computing Pattern matching Extension (predicate logic) Concurrency Algorithm Synchronization (alternating current) Parallel processing Theoretical computer science Programming language Mathematics Programming paradigm

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Topics

Parallel Computing and Optimization Techniques
Physical Sciences →  Computer Science →  Hardware and Architecture
Distributed and Parallel Computing Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Logic, programming, and type systems
Physical Sciences →  Computer Science →  Artificial Intelligence

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