Demo Data from VLDB 2026 / reviewers in the wild / expert
Luigi-Alberto Giachini
dblp:90/5194
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Distributed systems
fault tolerance |
0.0 | 1 | 1996 | Parallel Computing in Networks of Workstations with Paralex · IEEE Trans. Parallel Distributed Syst. 1996 |
Parallel and multicore computing
parallel programming environment |
0.0 | 1 | 1996 | Parallel Computing in Networks of Workstations with Paralex · IEEE Trans. Parallel Distributed Syst. 1996 |
Parallel and multicore computing › load balancing
dynamic load balancing |
0.0 | 1 | 1996 | Parallel Computing in Networks of Workstations with Paralex · IEEE Trans. Parallel Distributed Syst. 1996 |
High-performance computing › cluster computing
network of workstations |
0.0 | 1 | 1996 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1996 | Parallel Computing in Networks of Workstations with ParalexabstractModern 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 systemsabstractModern 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 |
ICS | 5 |