Pica Code-103 Advanced Methodologies for Dynamic GPU Resource Management in Embedded Systems (Roma)

Pica Code-103 Advanced Methodologies for Dynamic GPU Resource Management in Embedded Systems (Roma)

08 nov
|
Italian Ministry of Education, University and Research
|
Roma

08 nov

Italian Ministry of Education, University and Research

Roma

Organisation/Company UNIMORE Research Field Engineering » Industrial engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 20 Nov 2026 - 13:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
Offer Description Research and experimental evaluation of spatial partitioning and dynamic GPU scheduling methodologies, with particular focus on workload characterization, interference management, and execution predictability in real-time and embedded applications.
Italy
Eligibility of fellows: country/ies of residence:
OTHER
Eligibility of fellows: nationality/ies:
OTHER
Selection process selective public procedure based on qualifications and interview

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📌 Pica Code-103 Advanced Methodologies for Dynamic GPU Resource Management in Embedded Systems (Roma)
🏢 Italian Ministry of Education, University and Research
📍 Roma

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