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Tom Glint
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2020 – today
- 2024
- [c10]Tom Glint, Manu Awasthi, Joycee Mekie:
CANSim: When to Utilize Synchronous and Asynchronous Routers in Large and Complex NoCs. ASPDAC 2024: 1-6 - [c9]Tom Glint, Manu Awasthi, Joycee Mekie:
Hardware-Software Co-Design of a Collaborative DNN Accelerator for 3D Stacked Memories with Multi-Channel Data. ASPDAC 2024: 454-459 - [c8]Tom Glint, Mithil Pechimuthu, Joycee Mekie:
DeepFrack: A Comprehensive Framework for Layer Fusion, Face Tiling, and Efficient Mapping in DNN Hardware Accelerators. DATE 2024: 1-6 - [c7]Vrajesh Patel, Neel Shah, Aravind Krishna, Tom Glint, Abdul Ronak, Joycee Mekie:
COMPRIZE: Assessing the Fusion of Quantization and Compression on DNN Hardware Accelerators. VLSID 2024: 253-258 - 2023
- [c6]Tom Glint, Kailash Prasad, Jinay Dagli, Krishil Gandhi, Aryan Gupta, Vrajesh Patel, Neel Shah, Joycee Mekie:
Hardware-Software Codesign of DNN Accelerators Using Approximate Posit Multipliers. ASP-DAC 2023: 469-474 - [c5]Tom Glint, Manu Awasthi, Joycee Mekie:
REDRAW: Fast and Efficient Hardware Accelerator with Reduced Reads And Writes for 3D UNet. DATE 2023: 1-6 - [c4]Tom Glint, Chandan Kumar Jha, Manu Awasthi, Joycee Mekie:
Analysis of Quantization Across DNN Accelerator Architecture Paradigms. DATE 2023: 1-2 - [c3]Tom Glint, Aryan Gupta, Daniel Giftson, Gaurav Shah, Vrajesh Patel, Ruchit Chudasama, Sukanya More, Joycee Mekie:
Impact of Optimal Design Point on Performance Metrics of DNN accelerators in FPGA. ISPASS 2023: 328-330 - [c2]Tom Glint, Chandan Kumar Jha, Manu Awasthi, Joycee Mekie:
Analysis of Conventional, Near-Memory, and In-Memory DNN Accelerators. ISPASS 2023: 349-351 - 2022
- [i1]Tom Glint, Chandan Kumar Jha, Manu Awasthi, Joycee Mekie:
A Fresh Perspective on DNN Accelerators by Performing Holistic Analysis Across Paradigms. CoRR abs/2208.05294 (2022) - 2020
- [c1]Tom Glint, Jitesh Sah, Manu Awasthi, Joycee Mekie:
ANSim: A Fast and Versatile Asynchronous Network-On-Chip Simulator. ICCD 2020: 619-622
Coauthor Index
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last updated on 2024-10-07 22:18 CEST by the dblp team
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