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Mark H. Linderman

dblp:31/3723 · DBLP profile ↗
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2ranked-venue papers
1as 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 · 2 · 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
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

TopicWeightPapersLastEvidence papers
Embedded and real-time systems
embedded signal processing
0.011998
A Dependable High Performance Wafer Scale Architecture for Embedded Signal Processing · IEEE Trans. Computers 1998
Hardware accelerators and domain-specific architectures
wafer-scale architecture
0.011998
A Dependable High Performance Wafer Scale Architecture for Embedded Signal Processing · IEEE Trans. Computers 1998
Parallel and multicore computing
multiprocessor system
0.011998
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
YearPublicationVenuePosition
1998 A Dependable High Performance Wafer Scale Architecture for Embedded Signal Processing
abstract
A 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. Computers3
1994 Simulation of digital circuits in the presence of uncertainty
Mark H. Linderman, Miriam Leeser
ICCAD1