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Bret Hammond

dblp:55/2163 · DBLP profile ↗
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1ranked-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 · 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
Storage systems · 77% High-performance computing · 23%

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

TopicWeightPapersLastEvidence papers
Storage systems
distributed storage
0.112006
Bandwidth challenge - All in a day's work: advancing data-intensive research with the data capacitor · SC 2006
Storage systems › file systems › distributed file system
wide-area file system
0.112006
Bandwidth challenge - All in a day's work: advancing data-intensive research with the data capacitor · SC 2006
High-performance computing
data-intensive computing
0.012006
Bandwidth challenge - All in a day's work: advancing data-intensive research with the data capacitor · SC 2006
High-performance computing
scientific data management
0.012006
Bandwidth challenge - All in a day's work: advancing data-intensive research with the data capacitor · SC 2006

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

wide-area networking · 0.1lustre · 0.1
YearPublicationVenuePosition
2006 Bandwidth challenge - All in a day's work: advancing data-intensive research with the data capacitor
abstract
Indiana University provides powerful compute, storage, and network resources to a diverse local and national research community every day. IU's facilities have been used to support data-intensive applications ranging from digital humanities to computational biology.For this year's bandwidth challenge, several IU researchers will conduct experiments from the exhibit floor utilizing the resources that University Information Technology Services currently provides.Using IU's newly constructed 535 TB Data Capacitor and an additional component installed on the exhibit floor, we will use Lustre across the wide area network to simultaneously facilitate dynamic weather modeling, protein analysis, instrument data capture, and the production, storage, and analysis of simulation data.
Stephen C. Simms, Matt Davy, Bret Hammond, Matthew R. Link, Craig A. Stewart, Randall Bramley, Beth Plale, Dennis Gannon, Mu-Hyun Baik, Scott Teige, John C. Huffman, Rick McMullen, Doug Balog, Gregory G. Pike
SC3