Demo Data from EDBT 2026 / reviewers in the wild / expert
Raja Seera
dblp:175/6112
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2016
—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 |
Cloud and datacenter computing · 62% Reconfigurable computing and FPGAs · 19% Hardware accelerators and domain-specific architectures · 19% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cloud and datacenter computing › datacenter architecture
datacenter acceleration |
0.2 | 1 | 2016 | Agile Co-Design for a Reconfigurable Datacenter · FPGA 2016 |
Reconfigurable computing and FPGAs
datacenter FPGA deployment |
0.1 | 1 | 2016 | Agile Co-Design for a Reconfigurable Datacenter · FPGA 2016 |
Methods — techniques the papers use, named apart from their topics
hardware-software co-design · 0.2agile development · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Agile Co-Design for a Reconfigurable DatacenterabstractIn 2015, a team of software and hardware developers at Microsoft shipped the world?s first commercial search engine accelerated using FPGAs in the datacenter. During the sprint to production, new algorithms in the Bing ranking service were ported into FPGAs and deployed to a production bed within several weeks of conception, leading to significant gains in latency and throughput. The fast turnaround time of new features demanded by an agile software culture would not have been possible without a disciplined and effective approach to co-design in the datacenter. This talk will describe some of the learnings and best practices developed from this unique experience. Shlomi Alkalay, Hari Angepat, Adrian M. Caulfield, Eric S. Chung, Oren Firestein, Michael Haselman, Stephen Heil, Kyle Holohan, Matt Humphrey, Tamás Juhász, Puneet Kaur, Sitaram Lanka, Daniel Lo, Todd Massengill, Kalin Ovtcharov, Michael Papamichael, Andrew Putnam, Raja Seera, Rimon Tadros, Jason Thong, Lisa Woods, Derek Chiou, Doug Burger |
FPGA | 18 |