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Aatman Borda
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2020 – today
- 2023
- [j1]Aman Arora
, Atharva Bhamburkar
CoMeFa: Deploying Compute-in-Memory on FPGAs for Deep Learning Acceleration. ACM Trans. Reconfigurable Technol. Syst. 16(3): 50:1-50:34 (2023) - 2022
- [c3]Aman Arora
CoMeFa: Compute-in-Memory Blocks for FPGAs. FCCM 2022: 1-9 - [c2]Aman Arora
MathRAMs: Configurable Fused Compute-Memory Blocks for FPGAs. FPGA 2022: 52 - [i2]Aman Arora, Tanmay Anand, Aatman Borda, Rishabh Sehgal, Bagus Hanindhito, Jaydeep Kulkarni, Lizy K. John:
CoMeFa: Compute-in-Memory Blocks for FPGAs. CoRR abs/2203.12521 (2022) - 2021
- [c1]Aman Arora
Koios: A Deep Learning Benchmark Suite for FPGA Architecture and CAD Research. FPL 2021: 355-362 - [i1]Aman Arora, Andrew Boutros, Daniel Rauch, Aishwarya Rajen, Aatman Borda, Seyed Alireza Damghani, Samidh Mehta, Sangram Kate, Pragnesh Patel, Kenneth B. Kent, Vaughn Betz, Lizy K. John:
Koios: A Deep Learning Benchmark Suite for FPGA Architecture and CAD Research. CoRR abs/2106.07087 (2021)
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