I am a computer science PhD candidate at Colorado School of Mines advised by Prof. Mehmet Belviranlı. Before joining Mines, I completed my BS in Computer Engineering at Boğaziçi University and received guidanced from Prof. Levent Akın

My research focuses on the field of diversely heterogeneous accelerators. Particularly, I’ve worked on increasing performance, energy efficiency, and utilization of heterogeneous systems for autonomous vehicles and drones. Throughout my research, I have quite worked on edge SoCs (NVIDIA Jetson Family, Qualcomm Development Kits, Raspberry PIs). I’ve also been working other system architecture related research topics, such as analytical modeling to predict the performance of heterogeneous systems, memory contention to minimize the performance degredation.

Please refer to my CV for more details about my education and experiences.

Selected News

• (Apr’24) Our work is accepted to ICS’24. The paper proposes a novel scheduling technique for cyber-physical systems with heterogeneous processing units under real-world constraints.
• (Mar’24) Our work is accepted to HCW’24, colocated with IPDPS’24. The title of the work is “A Runtime Manager Integrated Emulation Environment for Heterogeneous SoC Design with RISC-V Cores”
• (Mar’24) I have selected as finalist and won the third place in CGO’24 SRC. The title of the work is “H-EYE: Holistic Performance Modeling for Diversely Scaled Systems”.
• (Feb’24) Our work is accepted to DATE’24. The title of the work is “Constraint-aware resource management for cyber-physical systems”.
• (Nov’23) Our work is accepted to PPoPP’24. The title of the work is “Shared Memory-contention-aware Concurrent DNN Execution for Diversely Heterogeneous System-on-Chips”.
• (Sep’23) Our work is accepted to 2024 SME Annual Conference & Expo. The title of the work is “Enhancing Safety Using Energy-Efficient Machine Learning Algorithms Through Prediction of Rock Type and Cutter Wear”. This work is done through collaboration with Mining Engineering at Mines.
• (May’23) Our work is accepted to FRAME’23, colocated with HPDC’23. The title of the work is “Contention-aware Performance Modeling for Heterogeneous Edge and Cloud Systems”.
• (Feb’23) I’ve accepted to Google ExploreCSR program as a mentor. I’ve been mentored two great students, Jason Lee and Cesar Lopez Hernandez.
• (Nov’22) I’ve won the third place in MICRO’22 SRC. The title of the work is “HaX-CoNN: Heterogeneity-aware Execution of Concurrent Deep Neural Networks”.
• (July’22) Our work is accepted to DAC’22. The title of the work is “AxoNN: Energy-Aware Execution of Neural Network Inference on Multi-Accelerator Heterogeneous SoCs”.
• (August’21) Our work is accepted to RSDHA 2021. The title of the work is “Exploration of Multi-Accelerator Neural Network Inference in Diversely Heterogeneous Embedded Systems”.
• (August’21) Our work is accepted to ICCAD’21. The title of the work is “Automated generation of integrated digital and spiking neuromorphic machine learning accelerators”.

Publications

• Justin Mcgowen, Ismet Dagli, Neil Dantam, Mehmet Belviranli. Title: Scheduling for Cyber-Physical Systems with Heterogeneous Processing Units under Real-World Constraints. in 38th ACM International Conference on Supercomputing (ICS), 2024
• H. Umut Suluhan, Serhan Gener, Alexander Fusco, Joshua Mack, Ismet Dagli, Mehmet E. Belviranli, Cagatay Edemen, Ali Akoglu. Title: A Runtime Manager Integrated Emulation Environment for Heterogeneous SoC Design with RISC-V Cores, in Heterogeneity in Computing Workshop (HCW), collocated with IPDPS, 2024
• Ismet Dagli, Mehmet E. Belviranli, Title: Shared Memory-contention-aware Concurrent DNN Execution for Diversely Heterogeneous System-on-Chips, Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, PPoPP’24. [Paper Link]
• Justin Mcgowen, Ismet Dagli, Neil Dantam, Mehmet Belviranli. Title: Constraint-aware resource management for cyber-physical systems. in Design, Automation and Test in Europe Conference (DATE), 2024. [Paper Link]
• Ismet Dagli, Andrew Depke, Andrew Mueller, Sahil Hassan, Ali Akoglu, Mehmet Belviranli. Title: Contention-aware Performance Modeling for Heterogeneous Edge and Cloud Systems. in 3rd workshop on Flexible Resource and Application Management on the Edge (FRAME), collaborated with HPDC . [Paper Link]
• Ismet Dagli, Alexander Cieslewicz, Jedidiah McClurg, Mehmet E. Belviranli, Title: AxoNN: Energy-Aware Execution of Neural Network Inference on Multi-Accelerator Heterogeneous SoCs, 59th ACM/IEEE Design Automation Conference(DAC), 2022. [Paper Link]
• Justin McGowen, Ismet Dagli, Mehmet Belviranli, Neil Dantam; *Title: Representations for Scheduling of Heterogeneous Computation to Support Motion Planning”; Implicit Representations for Robotic Manipulation RSS 2022 Workshop [Paper Link]
• Antonino Tumeo, Marco Minutoli, Vito Giovanni Castellana, Limaye Ankur, Tan Cheng, Ismet Dagli, Nicolas Bohm Agostini, Serena Curzel, Amatya Vinay, Manzano Joseph; Title: Accelerating Data Processing at the Edge with Extreme Specialization; 2022 ASCR Workshop on the Management and Storage of Scientific Data, 2022 [Paper Link]
• Ismet Dagli, Mehmet E. Belviranli, Title: Exploration of Multi-Accelerator Neural Network Inference in Diversely Heterogeneous Embedded Systems; 2021 IEEE/ACM Redefining Scalability for Diversely Heterogeneous Architectures Workshop (RSDHA) collaborated with SC, 2021 [Paper Link]
• Serena Curzel, Nicolas Bohm Agostini, Shihao Song, Ismet Dagli, Ankur Limaye, Cheng Tan, Marco Minutoli, Vito Giovanni Castellana, Vinay Amatya, Joseph Manzano, Anup Das, Fabrizio Ferrandi, Antonino Tumeo; Title: Automated generation of integrated digital and spiking neuromorphic machine learning accelerators 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2021[Paper Link]