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Ruslan Dashkin

dblp:329/7804 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2022
0000-0002-1033-0973ORCID · reported

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

Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021

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
Electronic design automation · 61% Reconfigurable computing and FPGAs · 30% Integrated circuit design · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Electronic design automation
circuit simulation
0.612022
General Approach to Asynchronous Circuits Simulation Using Synchronous FPGAs · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022
Reconfigurable computing and FPGAs
FPGA-based emulation
0.612022
General Approach to Asynchronous Circuits Simulation Using Synchronous FPGAs · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022
Electronic design automation
hardware verification and test
0.612022
General Approach to Asynchronous Circuits Simulation Using Synchronous FPGAs · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022
Integrated circuit design
asynchronous circuit design
0.212022
General Approach to Asynchronous Circuits Simulation Using Synchronous FPGAs · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022

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

synchronous modeling · 0.6event-driven simulation · 0.6
YearPublicationVenuePosition
2022 General Approach to Asynchronous Circuits Simulation Using Synchronous FPGAs
abstract
Using field-programmable gate arrays (FPGAs) for software and hardware verification and development is a standard step in the digital application-specific integrated circuits (ASICs) design flow. However, asynchronous FPGAs are not available on the market and commercially available FPGAs provide support only for synchronous circuits. Although a lot of research effort has been undertaken in order to use synchronous FPGA to map asynchronous circuits, proposed solutions are typically lacking automation and target-specific circuit style and sometimes specific FPGA vendor. In this work, we present an automated solution for asynchronous circuits mapping onto the synchronous FPGAs. We build a synchronous model of the original asynchronous circuit based on the event-driven simulation concepts. The proposed approach supports a wide range of circuit styles, including those with various timing assumptions and complex circuitry structures incompatible with the standard synchronous flow. We avoid using vendor-specific features so that the model we generate can be implemented on any commercially available FPGA. We provide an extensive evaluation of our solution and demonstrate that our approach results in a speedup factor of$1.3\times 10^{5}$against an asynchronous circuit simulator,$2.8\times 10^{4}$against commercial digital simulators, and is 16.5 times slower than the expected performance of the original asynchronous circuit implemented as an ASIC.
Ruslan Dashkin, Rajit Manohar
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.1