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ShareScore release 0.9.0
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3 results for “Co-simulation”
Intelligent Energy Systems Ontology: Local flexibility market and power system co-simulation demonstration
<p>The Intelligent Energy Systems Ontology (IESO) provides semantic interoperability within a society of multi-agent systems (MAS) developed in the scope of power and energy systems (PES). It leverages the knowledge from existing and publicly available semantic models developed for specific PES subdomains to accomplish a shared vocabulary among the agents of the MAS community, overcoming heterogeneity among the reused ontologies. IESO provides agents with semantic reasoning, constraints validation, and data uniformization. The use of IESO is demonstrated through the simulation of the management of a rural distribution network, considering the validation of the grid’s technical constraints. This dataset publishes files demonstrating: i) a snapshot of the initial semantic knowledge base (KB); ii) queries to the KB to get services inputs; iii) conversions between syntactic and semantic models; <br> iv) constraints validations; v) automatic conversion of units of measure.</p>
MorFuzz: Fuzzing Processor via Runtime Instruction Morphing enhanced Synchronizable Co-simulation
<p>This deposit maintains the inputs generated by DifuzzRTL and MorFuzz binaries.</p> <p>Following is the paper abstract:</p> <p>Modern processors are too complex to be bug free. Recently, a few hardware fuzzing techniques have shown promising results in verifying processor designs. However, due to the complexity of processors, they suffer from complex input grammar, deceptive mutation guidance, and model implementation differences. Therefore, how to effectively and efficiently verify processors is still an open problem.</p> <p>This paper proposes MorFuzz, a novel processor fuzzer that can efficiently discover software triggerable hardware bugs. The core idea behind MorFuzz is to use runtime information to generate instruction streams with valid formats and meaningful semantics. MorFuzz designs a new input structure to provide multi-level runtime mutation primitives and proposes the instruction morphing technique to mutate instruction dynamically. Besides, we also extend the co-simulation framework to various microarchitectures and develop the state synchronization technique to eliminate implementation differences. We evaluate MorFuzz on three popular open-source RISC-V processors: CVA6, Rocket, BOOM, and discover 17 new bugs (with 13 CVEs assigned). Our evaluation shows MorFuzz achieves 4.4× and 1.6× more state coverage than the state-of-the-art fuzzer, DifuzzRTL, and the famous constrained instruction generator, riscv-dv.</p>
Database of "Dynamic Design and Performance Prediction of Tuned Particle Damper Based on Co-simulation"
<p>These data are obtained based on the co-simulation of ADAMS and EDEM. The first 7 columns are inputs and the last column is output.</p>
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.