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
Demo Data from VLDB 2026 / reviewers in the wild / expert

Piero Sguazzero

dblp:09/4411 · DBLP profile ↗
← Back
4ranked-venue papers
0as first author
0since 2021 · last 2001
—ORCID · none

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

Systems, architecture and hardware · 4

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
High-performance computing · 50% Parallel and multicore computing · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
High-performance computing
scientific computing systems		 0.011990
Large-scale computing on clustered vector multiprocessors · SC 1990
Parallel and multicore computing › parallelization strategies
two-level parallelism		 0.011990
Large-scale computing on clustered vector multiprocessors · SC 1990

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

clustered fortran · 0.0
YearPublicationVenuePosition
2001 Parallel PIC plasma simulation through particle decomposition techniques
Beniamino Di Martino, Sergio Briguglio, Gregorio Vlad, Piero Sguazzero
 Parallel Comput.4
1992 Distributed shared virtual memory on RISC System/6000 clusters and large scale computations: Two case studies
Massimo Bernaschi, M. Blount, Piero Sguazzero, Marcello Vitaletti
 Future Gener. Comput. Syst.3
1990 Large-scale computing on clustered vector multiprocessors
abstract
A two-level parallel implementation of a large-scale geophysical simulation code is presented. The software/hardware environment utilizes IBM Clustered Fortran, allowing a single application program to execute concurrently on two IBM 3090 computers (first level of parallelism) while exploiting the multiple vector processors of each 3090 system (second level of parallelism). The experiments reported show that the problem is characterized by large task granularity and small communication/computation ratio, thus leading to sustained parallel speed-ups of nearly ten on a cluster of two 3090 computers, totalling twelve vector processors.>
Aladin Kamel, Piero Sguazzero, Vittorio Zecca
 SC2
1988 Dense linear systems FORTRAN solvers on the IBM 3090 vector multiprocessor
Giuseppe Radicati di Brozolo, Yves Robert, Piero Sguazzero
 Parallel Comput.3