Mohammad Pivezhandi

According to our database, Mohammad Pivezhandi authored at least 11 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ZeroDVFS: Zero-Shot LLM-Guided Core and Frequency Allocation for Embedded Platforms.

Mohammad Pivezhandi, Mahdi Banisharif, Abusayeed Saifullah, Ali Jannesari

CoRR, January, 2026

HiDVFS: A Hierarchical Multi-Agent DVFS Scheduler for OpenMP DAG Workloads.

Mohammad Pivezhandi, Abusayeed Saifullah, Ali Jannesari

CoRR, January, 2026

2025

GraphPerf-RT: A Graph-Driven Performance Model for Hardware-Aware Scheduling of OpenMP Codes.

Mohammad Pivezhandi, Mahdi Banisharif, Saeed Bakhshan, Abusayeed Saifullah, Ali Jannesari

CoRR, December, 2025

A Statistical Learning Approach for Feature-Aware Task-to-Core Allocation in Heterogeneous Platforms.

Mohammad Pivezhandi, Abusayeed Saifullah, Prashant P. Modekurthy

CoRR, February, 2025

Feature-Aware Task-to-Core Allocation in Embedded Multi-Core Platforms via Statistical Learning.

Mohammad Pivezhandi, Abusayeed Saifullah, Prashant P. Modekurthy

Proceedings of the 31st IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2025

2024

A Distribution-Aware Flow-Matching for Generating Unstructured Data for Few-Shot Reinforcement Learning.

Mohammad Pivezhandi, Abusayeed Saifullah

CoRR, 2024

Work-In-Progress: Energy and Thermal-Aware Scheduling based on HMARL for OpenMP DAG Workloads.

Mohammad Pivezhandi, Aakriti Jain, Abusayeed Saifullah, Ali Jannesari

Proceedings of the IEEE Real-Time Systems Symposium, 2024

2023

Precise Scheduling of DAG Tasks with Dynamic Power Management.

Ashikahmed Bhuiyan, Mohammad Pivezhandi, Zhishan Guo, Jing Li, Venkata Prashant Modekurthy, Abusayeed Saifullah

Proceedings of the 35th Euromicro Conference on Real-Time Systems, 2023

2022

Energy- and Temperature-aware Scheduling: From Theory to an Implementation on Intel Processor.

Qaisar Bashir, Mohammad Pivezhandi, Abusayeed Saifullah

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

2021

A Learning-Based Scheduler for High Volume Processing in Data Warehouse Using Graph Neural Networks.

Vivek Bengre, M. Reza HoseinyFarahabady, Mohammad Pivezhandi, Albert Y. Zomaya, Ali Jannesari

Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2021

2020

ParaHist: FPGA Implementation of Parallel Event-Based Histogram for Optical Flow Calculation.

Mohammad Pivezhandi, Phillip H. Jones, Joseph Zambreno

Proceedings of the 31st IEEE International Conference on Application-specific Systems, 2020