Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Luigi-Alberto Giachini

dblp:90/5194 · DBLP profile ↗
← Back
2ranked-venue papers
0as first author
0since 2021 · last 1996
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Parallel and multicore computing · 50% Distributed systems · 38% High-performance computing · 12%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Distributed systems
fault tolerance
0.011996
Parallel Computing in Networks of Workstations with Paralex · IEEE Trans. Parallel Distributed Syst. 1996
Parallel and multicore computing
parallel programming environment
0.011996
Parallel Computing in Networks of Workstations with Paralex · IEEE Trans. Parallel Distributed Syst. 1996
Parallel and multicore computing › load balancing
dynamic load balancing
0.011996
Parallel Computing in Networks of Workstations with Paralex · IEEE Trans. Parallel Distributed Syst. 1996
High-performance computing › cluster computing
network of workstations
0.011996
Parallel Computing in Networks of Workstations with Paralex · IEEE Trans. Parallel Distributed Syst. 1996

Methods — techniques the papers use, named apart from their topics

graphical programming environment · 0.0automatic code generation · 0.0
YearPublicationVenuePosition
1996 Parallel Computing in Networks of Workstations with Paralex
abstract
Modern distributed systems consisting of powerful workstations and high-speed interconnection networks are an economical alternative to special-purpose supercomputers. The technical issues that need to be addressed in exploiting the parallelism inherent in a distributed system include heterogeneity, high-latency communication, fault tolerance and dynamic load balancing. Current software systems for parallel programming provide little or no automatic support towards these issues and require users to be experts in fault-tolerant distributed computing. The Paralex system is aimed at exploring the extent to which the parallel application programmer can be liberated from the complexities of distributed systems. Paralex is a complete programming environment and makes extensive use of graphics to define, edit, execute, and debug parallel scientific applications. All of the necessary code for distributing the computation across a network and replicating it to achieve fault tolerance and dynamic load balancing is automatically generated by the system. In this paper we give an overview of Paralex and present our experiences with a prototype implementation.
Renzo Davoli, Luigi-Alberto Giachini, Özalp Babaoglu, Alessandro Amoroso, Lorenzo Alvisi
IEEE Trans. Parallel Distributed Syst.2
1992 Paralex: an environment for parallel programming in distributed systems
abstract
Modern distributed systems consisting of powerful workstations and high-speed interconnection networks are an economical alternative to special-purpose super computers. The technical issues that need to be addressed in exploiting the parallelism inherent in a distributed system include heterogeneity, high-latency communication, fault tolerance and dynamic load balancing. Current software systems for parallel programming provide little or no automatic support towards these issues and require users to be experts in fault-tolerant distributed computing. The Paralex system is aimed at exploring the extent to which the parallel application programmer can be liberated from the complexities of distributed systems. Paralex is a complete programming environment and makes extensive use of graphics to define, edit, execute and debug parallel scientific applications. All of the necessary code for distributing the computation across a network and replicating it to achieve fault tolerance and dynamic load balancing is automatically generated by the system. In this paper we give an overview of Paralex and present our experiences with a prototype implementation.
Özalp Babaoglu, Lorenzo Alvisi, Alessandro Amoroso, Renzo Davoli, Luigi-Alberto Giachini
ICS5