Demo Data from EDBT 2026 / reviewers in the wild / expert
Augusto Mendes Gomes Junior
dblp:35/6708
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1Human-computer interaction and ubiquitous computing · 1
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 · 83% High-performance computing · 17% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Parallel and multicore computing › parallel programming models
message passing |
0.1 | 1 | 2005 | HMPI - hybrid MPI · HPDC 2005 |
Parallel and multicore computing › parallel programming models › message passing
MPI implementation |
0.1 | 1 | 2005 | HMPI - hybrid MPI · HPDC 2005 |
Parallel and multicore computing
parallel programming runtimes |
0.1 | 1 | 2005 | HMPI - hybrid MPI · HPDC 2005 |
High-performance computing
cluster computing |
0.0 | 1 | 2005 | HMPI - hybrid MPI · HPDC 2005 |
High-performance computing › cluster computing
heterogeneous clusters |
0.0 | 1 | 2005 | HMPI - hybrid MPI · HPDC 2005 |
Methods — techniques the papers use, named apart from their topics
daemons · 0.1connection pools · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | HyMPI - A MPI Implementation for Heterogeneous High Performance Systems
Francisco Isidro Massetto, Augusto Mendes Gomes Junior, Liria Matsumoto Sato |
GPC | 2 |
| 2005 | HMPI - hybrid MPIabstractThis paper presents the HMPI, a runtime system to integrate several MPI implementations, used to develop high performance applications that must run both in nodes with several operating systems and clusters of clusters infrastructures. HMPI has two different approaches to achieve this integration, using connection pools and HMPI daemons. Francisco Isidro Massetto, Augusto Mendes Gomes Junior, Liria Matsumoto Sato |
HPDC | 2 |