Custom Tailored Suite of Random Forests for Prefetcher Adaptation. - Furkan Eris; Sadullah Canakci; Cansu Demirkiran; Ajay Joshi (CoRR, 2020)

TAP-2.5D: A Thermally-Aware Chiplet Placement Methodology for 2.5D Systems. - Yenai Ma; Leila Delshadtehrani; Cansu Demirkiran; José L. Abellán; Ajay Joshi (DATE, 2021)

Processing-in-Memory Using Optically-Addressed Phase Change Memory. - Guowei Yang 005; Cansu Demirkiran; Zeynep Ece Kizilates; Carlos A. Ríos Ocampo; Ayse K. Coskun; Ajay Joshi (ISLPED, 2023)

Leveraging Residue Number System for Designing High-Precision Analog Deep Neural Network Accelerators. - Cansu Demirkiran; Rashmi Agrawal; Vijay Janapa Reddi; Darius Bunandar; Ajay Joshi (CoRR, 2023)

A Blueprint for Precise and Fault-Tolerant Analog Neural Networks. - Cansu Demirkiran; Lakshmi Nair; Darius Bunandar; Ajay Joshi (CoRR, 2023)

Accelerating DNN Training With Photonics: A Residue Number System-Based Design. - Cansu Demirkiran; Guowei Yang 005; Darius Bunandar; Ajay Joshi (CoRR, 2023)

Towards Efficient Hyperdimensional Computing Using Photonics. - Farbin Fayza; Cansu Demirkiran; Hanning Chen; Che-Kai Liu; Avi Mohan; Hamza Errahmouni Barkam; Sanggeon Yun; Mohsen Imani; David Zhang; Darius Bunandar; Ajay Joshi (CoRR, 2023)

An Electro-Photonic System for Accelerating Deep Neural Networks. - Cansu Demirkiran; Furkan Eris; Gongyu Wang; Jonathan Elmhurst; Nick Moore; Nicholas C. Harris; Ayon Basumallik; Vijay Janapa Reddi; Ajay Joshi; Darius Bunandar (ACM J. Emerg. Technol. Comput. Syst., 2023)

Mirage: An RNS-Based Photonic Accelerator for DNN Training. - Cansu Demirkiran; Guowei Yang 005; Darius Bunandar; Ajay Joshi (ISCA, 2024)

Systolic Array-based Accelerator for State-Space Models. - Shiva Raja; Cansu Demirkiran; Aakash Sarkar; Milos A. Popovic; Ajay Joshi (CoRR, 2025)