Demo Data from EDBT 2026 / reviewers in the wild / expert
Jeffrey Weener
dblp:91/4922
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1998
—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 · 50% Parallel and multicore computing · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cloud and datacenter computing › virtualization
hardware-assisted virtualization |
0.0 | 1 | 1998 | Managing Pipeline-Reconfigurable FPGAs · FPGA 1998 |
Parallel and multicore computing › parallel scheduling
runtime scheduling |
0.0 | 1 | 1998 | Managing Pipeline-Reconfigurable FPGAs · FPGA 1998 |
Methods — techniques the papers use, named apart from their topics
runtime scheduling · 0.0pipeline reconfiguration · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1998 | Managing Pipeline-Reconfigurable FPGAsabstractWhile reconfigurable computing promises to deliver incomparable performance, it is still a marginal technology due to the high cost of developing and upgrading applications. Hardware virtualization can be used to significantly reduce both these costs. In this paper we describe the benefits of hardware virtualization, and show how it can be achieved using a combination of pipeline reconfiguration and run-time scheduling of both configuration streams and data streams. The result is PipeRench, an architecture that supports robust compilation and provides forward compatibility. Our preliminary performance analysis predicts that PipeRench will outperform commercial FPGAs and DSPs in both overall performance and in performance per mm2. Srihari Cadambi, Jeffrey Weener, Seth Copen Goldstein, Herman Schmit, Donald E. Thomas |
FPGA | 2 |