5 papers
HiDVFS: Hierarchical Multi-Agent DVFS for Real-Time OpenMP DAG Workloads
Mohammad Pivezhandi, Abusayeed Saifullah, Ali Jannesari
Leakage power in multicore embedded systems now rivals dynamic power, so DVFS schedulers must respect deadlines and thermal limits, not just average makespan. Existing heuristics l…
ZeroDVFS: Zero-Shot LLM-Guided Core and Frequency Allocation for Embedded Platforms
Mohammad Pivezhandi, Mahdi Banisharif, Abusayeed Saifullah +1
Dynamic voltage and frequency scaling (DVFS) and task-to-core allocation are critical for thermal management and balancing energy and performance in embedded systems. Existing appr…
GraphPerf-RT: A Graph-Driven Performance Model for Hardware-Aware Scheduling of OpenMP Codes
Mohammad Pivezhandi, Mahdi Banisharif, Saeed Bakhshan +2
Autonomous AI agents on embedded platforms require real-time, risk-aware scheduling under resource and thermal constraints. Classical heuristics struggle with workload irregularity…
Feature-Aware Task-to-Core Allocation in Embedded Multi-core Platforms via Statistical Learning
Mohammad Pivezhandi, Abusayeed Saifullah, Prashant Modekurthy
Optimizing task-to-core allocation can substantially reduce power consumption in multi-core platforms without degrading user experience. However, existing approaches overlook criti…
FlowRL: Flow-Augmented Few-Shot Reinforcement Learning for Semi-Structured Sensor Data
Mohammad Pivezhandi, Abusayeed Saifullah
Reinforcement learning (RL) in few-shot scenarios with limited sensor data is challenging due to insufficient training samples, particularly in applications like Dynamic Voltage an…