Ismet Dagli

According to our database, Ismet Dagli authored at least 8 papers between 2021 and 2024.

Collaborative distances:

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

2024

Shared Memory-contention-aware Concurrent DNN Execution for Diversely Heterogeneous System-on-Chips.

Ismet Dagli, Mehmet E. Belviranli

Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024

A Runtime Manager Integrated Emulation Environment for Heterogeneous SoC Design with RISC-V Cores.

H. Umut Suluhan, Serhan Gener, Alexander Fusco, Joshua Mack, Ismet Dagli, Mehmet E. Belviranli, Çagatay Edemen, Ali Akoglu

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Scheduling for Cyber-Physical Systems with Heterogeneous Processing Units under Real-World Constraints.

Justin McGowen, Ismet Dagli, Neil T. Dantam, Mehmet E. Belviranli

Proceedings of the 38th ACM International Conference on Supercomputing, 2024

Constraint-Aware Resource Management for Cyber-Physical Systems.

Justin McGowen, Ismet Dagli, Neil T. Dantam, Mehmet E. Belviranli

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023

Contention-aware Performance Modeling for Heterogeneous Edge and Cloud Systems.

Ismet Dagli, Andrew Depke, Andrew Mueller, Md Sahil Hassan, Ali Akoglu, Mehmet Esat Belviranli

Proceedings of the 3rd Workshop on Flexible Resource and Application Management on the Edge, 2023

2022

AxoNN: energy-aware execution of neural network inference on multi-accelerator heterogeneous SoCs.

Ismet Dagli, Alexander Cieslewicz, Jedidiah McClurg, Mehmet E. Belviranli

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

Multi-accelerator Neural Network Inference in Diversely Heterogeneous Embedded Systems.

Ismet Dagli, Mehmet E. Belviranli

Proceedings of the IEEE/ACM Redefining Scalability for Diversely Heterogeneous Architectures Workshop, 2021

Automated Generation of Integrated Digital and Spiking Neuromorphic Machine Learning Accelerators.

Serena Curzel, Nicolas Bohm Agostini, Shihao Song, Ismet Dagli, Ankur Limaye, Cheng Tan, Marco Minutoli, Vito Giovanni Castellana, Vinay Amatya, Joseph B. Manzano, Anup Das, Fabrizio Ferrandi, Antonino Tumeo

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021