EDBT 2026 Demo / reviewers in the wild / expert
Ralph L. R. Kohler
dblp:10/5185
· 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 |
Embedded and real-time systems · 30% Hardware accelerators and domain-specific architectures · 30% Hardware reliability and fault tolerance · 30% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Embedded and real-time systems
embedded signal processing |
0.0 | 1 | 1998 | A Dependable High Performance Wafer Scale Architecture for Embedded Signal Processing · IEEE Trans. Computers 1998 |
Hardware accelerators and domain-specific architectures
wafer-scale architecture |
0.0 | 1 | 1998 | A Dependable High Performance Wafer Scale Architecture for Embedded Signal Processing · IEEE Trans. Computers 1998 |
Parallel and multicore computing
multiprocessor system |
0.0 | 1 | 1998 | A Dependable High Performance Wafer Scale Architecture for Embedded Signal Processing · IEEE Trans. Computers 1998 |
Methods — techniques the papers use, named apart from their topics
watchdog checking · 0.0coprocessing · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1998 | A Dependable High Performance Wafer Scale Architecture for Embedded Signal ProcessingabstractA high performance, programmable, floating point multiprocessor architecture has been specifically designed to exploit advanced two- and three-dimensional hybrid wafer scale packaging to achieve low size, weight, and power, and improve reliability for embedded systems applications. Processing elements comprised of a 0.8 micron CMOS dual processor chip and commercial synchronous SRAMs achieve more than 100 MFLOPS/Watt. This power efficiency allows up to 32 processing elements to be incorporated into a single 3D multichip module, eliminating multiple discrete packages and thousands of wirebonds. The dual processor chip can dynamically switch between independent processing, watchdog checking, and coprocessing modes. A flat, SRAM memory provides predictable instruction set timing and independent and accurate performance prediction. Richard W. Linderman, Ralph L. R. Kohler, Mark H. Linderman |
IEEE Trans. Computers | 2 |