EDBT 2026 Demo / reviewers in the wild / expert
Len Wisniewski
dblp:116/7973
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1999
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 first-author
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 |
Storage systems · 61% High-performance computing · 39% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Storage systems › file systems
cluster file systems |
0.0 | 1 | 1999 | SunTM MPI I/O: Efficient I/O for Parallel Applications · SC 1999 |
Storage systems › file systems › distributed file system
parallel file system |
0.0 | 1 | 1999 | SunTM MPI I/O: Efficient I/O for Parallel Applications · SC 1999 |
High-performance computing
parallel i/o |
0.0 | 1 | 1999 | SunTM MPI I/O: Efficient I/O for Parallel Applications · SC 1999 |
High-performance computing › cluster computing
SMP cluster |
0.0 | 1 | 1999 | SunTM MPI I/O: Efficient I/O for Parallel Applications · SC 1999 |
Methods — techniques the papers use, named apart from their topics
MPI-2 I/O specification · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1999 | SunTM MPI I/O: Efficient I/O for Parallel ApplicationsabstractMany parallel applications require high-performance I/O to avoid negating some or all of the benefit derived from parallelizing its computation. When these applications are run on a loosely-coupled cluster of SMPs, the limitations of existing hardware and software present even more hurdles to performing high-performance I/O. In this paper, we describe our full implementation of the I/O portion of the MPI-2 specification. In particular, we discuss the limitations inherent in performing high-performance I/O on a cluster of SMPs and demonstrate the benefits of using a cluster-based filesystem over a traditional node-based filesystem. Len Wisniewski, Brad Smisloff, Nils Nieuwejaar |
SC | 1 |