ANSim: A Fast and Versatile Asynchronous Network-On-Chip Simulator. - Tom Glint; Jitesh Sah; Manu Awasthi; Joycee Mekie (ICCD, 2020)

A Fresh Perspective on DNN Accelerators by Performing Holistic Analysis Across Paradigms. - Tom Glint; Chandan Kumar Jha 001; Manu Awasthi; Joycee Mekie (CoRR, 2022)

Hardware-Software Codesign of DNN Accelerators Using Approximate Posit Multipliers. - Tom Glint; Kailash Prasad; Jinay Dagli; Krishil Gandhi; Aryan Gupta; Vrajesh Patel; Neel Shah; Joycee Mekie (ASP-DAC, 2023)

REDRAW: Fast and Efficient Hardware Accelerator with Reduced Reads And Writes for 3D UNet. - Tom Glint; Manu Awasthi; Joycee Mekie (DATE, 2023)

Analysis of Quantization Across DNN Accelerator Architecture Paradigms. - Tom Glint; Chandan Kumar Jha 001; Manu Awasthi; Joycee Mekie (DATE, 2023)

Impact of Optimal Design Point on Performance Metrics of DNN accelerators in FPGA. - Tom Glint; Aryan Gupta; Daniel Giftson; Gaurav Shah; Vrajesh Patel; Ruchit Chudasama; Sukanya More; Joycee Mekie (ISPASS, 2023)

Analysis of Conventional, Near-Memory, and In-Memory DNN Accelerators. - Tom Glint; Chandan Kumar Jha 001; Manu Awasthi; Joycee Mekie (ISPASS, 2023)

CANSim: When to Utilize Synchronous and Asynchronous Routers in Large and Complex NoCs. - Tom Glint; Manu Awasthi; Joycee Mekie (ASPDAC, 2024)

Hardware-Software Co-Design of a Collaborative DNN Accelerator for 3D Stacked Memories with Multi-Channel Data. - Tom Glint; Manu Awasthi; Joycee Mekie (ASPDAC, 2024)

DeepFrack: A Comprehensive Framework for Layer Fusion, Face Tiling, and Efficient Mapping in DNN Hardware Accelerators. - Tom Glint; Mithil Pechimuthu; Joycee Mekie (DATE, 2024)

COMPRIZE: Assessing the Fusion of Quantization and Compression on DNN Hardware Accelerators. - Vrajesh Patel; Neel Shah; Aravind Krishna; Tom Glint; Abdul Ronak; Joycee Mekie (VLSID, 2024)