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Edward H. Frank

dblp:67/545 · DBLP profile ↗
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4ranked-venue papers
3as first author
0since 2021 · last 1994
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 4 · 3 first-authorSoftware engineering, systems software and programming languages · 1 · 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
4 papers
Electronic design automation · 73% Performance modeling and evaluation · 16% Processor architecture and microarchitecture · 11%

Topics — the 9 heaviest of 10, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Electronic design automation › design methodology
design abstraction levels
0.011994
PESDA and Design Abstraction: How High is Up? (Panel) · DAC 1994
Electronic design automation › circuit simulation
switch-level simulation
0.031986
Exploiting Parallelism in a Switch-Level Simulation Machine · ISCA 1986
Exploiting parallelism in a switch-level simulation machine · DAC 1986
Switch-level simulation of VLSI using a special-purpose data-driven computer · DAC 1985
Electronic design automation › hardware verification and test
hardware verification
0.021986
Exploiting parallelism in a switch-level simulation machine · DAC 1986
Switch-level simulation of VLSI using a special-purpose data-driven computer · DAC 1985
Processor architecture and microarchitecture › dataflow architecture
dataflow machine
0.011986
Exploiting Parallelism in a Switch-Level Simulation Machine · ISCA 1986
Performance modeling and evaluation › simulation › parallel architecture simulation
multiprocessor simulation
0.011986
Exploiting Parallelism in a Switch-Level Simulation Machine · ISCA 1986
Electronic design automation
system-level design
0.011994
PESDA and Design Abstraction: How High is Up? (Panel) · DAC 1994
Processor architecture and microarchitecture
multiprocessor architecture
0.011986
Exploiting parallelism in a switch-level simulation machine · DAC 1986
Performance modeling and evaluation › simulation › parallel and distributed simulation
parallel simulation
0.011986
Exploiting parallelism in a switch-level simulation machine · DAC 1986
Performance modeling and evaluation › simulation › architectural simulation
simulation acceleration
0.011986
Exploiting Parallelism in a Switch-Level Simulation Machine · ISCA 1986

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

dataflow architecture · 0.0multiprocessor partitioning · 0.0circuit partitioning · 0.0Mossim II algorithm · 0.0
YearPublicationVenuePosition
1994 PESDA and Design Abstraction: How High is Up? (Panel)
abstract
No abstract available.
Geoffrey Bunza, Steve Schulz, Tommy Jansson, Alex Silbey, Steve Ma, Edward H. Frank
DAC6
1986 Exploiting parallelism in a switch-level simulation machine
abstract
The parallelism inherent in actual circuits suggests that this parallelism might be exploited in a switch-level simulation machine, in order to reduce total simulation time. This paper explores the extent to which this parallelism exists and the extent to which it can be exploited. The exploration is done in the context of a proposed multiprocessor simulation machine called the Fast-1. The Fast-1 is a form of data-flow machine in which switch-level circuits are represented as programs consisting of transistor and node instructions. In a multiprocessor Fast-1 these programs are partitioned onto one or more processors. Using a simulation of the Fast-1, experiments were performed using thirteen circuits, ranging in size from 78 to 20233 transistors. The most parallel circuit measured in these experiments potentially could be simulated almost 200 times faster on a multiprocessor than on a uniprocessor, assuming one instruction per processor and no-cost interprocessor communication. Using 64 processors, an actual speedup of 28 was achieved using contention-free interconnect, while a speedup of 12 was achieved when the 64 processors were connected by a broadcast bus for which they had to arbitrate.
Edward H. Frank
DAC1
1986 Exploiting Parallelism in a Switch-Level Simulation Machine
abstract
The parallelism inherent in actual circuits suggests that this parallelism might be exploited in a switch-level simulation machine, in order to reduce total simulation time. This paper explores the extent to which this parallelism exists and the extent to which it can be exploited. The exploration is done in the context of a proposed multiprocessor simulation machine called the Fast-1. The Fast-1 is a form of data-flow machine in which switch-level circuits are represented as programs consisting of transistor and node instructions. In a multiprocessor Fast-1 these programs are partitioned onto one or more processors. Using a simulation of the Fast-1, experiments were performed using thirteen circuits, ranging in size from 78 to 20233 transistors. The most parallel circuit measured in these experiements potentially could be simulated almost 200 times faster on a multiprocessor than on a uniprocessor, assuming one instruction per processor and no-cost interprocessor communication. Using 64 processors, an atual speedup of 28 was achieved using contention-free interconnect, while a speedup of 12 was achieved when the 64 processors were connected by a broadcast bus for which they had to arbitrate.
Edward H. Frank
ISCA1
1985 Switch-level simulation of VLSI using a special-purpose data-driven computer
abstract
In this paper I present the algorithms, architecture, and performance of the FAST-1, a special-purpose data-driven computer for switch-level simulation of VLSI circuits. The FAST-1 algorithm computes the same steady state as Bryant's Mossimll algorithm, using a similar network model. The architecture of the simulation machine follows directly from the simulation algorithm and, like the algorithm, is very simple. While the machine has not yet been implemented in hardware, a software-implementation of the proposed architecture has allowed the architecture's performance to be measured in terms of the number of Read-Modify-Write memory cycles required to perform a given simulation. Measurements of circuits ranging in size from a hundred to over 20K transistors indicate that a hardware implementation of the simulation machine will run orders of magnitude faster than software-implemented simulators running on general-purpose computers built using similar technology.
Edward H. Frank
DAC1