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Michael C. Pietrykowski

dblp:331/4689 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2022
0000-0002-8710-8158ORCID · 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
Embedded and real-time systems · 91% Performance modeling and evaluation · 9%

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

TopicWeightPapersLastEvidence papers
Embedded and real-time systems › real-time embedded systems
hard real-time systems
0.612022
Predictive Execution of Parallel Simulations in Hard Real-Time Systems · IEEE Trans. Computers 2022
Embedded and real-time systems › real-time simulation
hardware-in-the-loop simulation
0.612022
Predictive Execution of Parallel Simulations in Hard Real-Time Systems · IEEE Trans. Computers 2022
Embedded and real-time systems
real-time simulation
0.612022
Predictive Execution of Parallel Simulations in Hard Real-Time Systems · IEEE Trans. Computers 2022
Performance modeling and evaluation › simulation › parallel and distributed simulation
parallel simulation
0.212022
Predictive Execution of Parallel Simulations in Hard Real-Time Systems · IEEE Trans. Computers 2022
YearPublicationVenuePosition
2022 Predictive Execution of Parallel Simulations in Hard Real-Time Systems
abstract
Hardware-in-the-loop systems are a type of Hard real-time system that require a faster than real-time simulation. A method of running hard real-time systems with slower than real-time simulations is devised. Instead of waiting for the real-time subsystem output to a simulation, multiple simulation input predictions are generated and used to run several parallel simulation paths independent of the real-time subsystem. The simulation path results are stored until needed by the real-time subsystem at which time one is selected and returned to it to continue the execution of the system. A test case using a small modular reactor nuclear power plant hardware-in-the-loop system was used to demonstrate the effects of slower than real-time simulations on a hard real-time system and to show that this method allows such a simulation to be used.
Michael C. Pietrykowski, Carol S. Smidts
IEEE Trans. Computers1