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Wilfred Gomes
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Journal Articles
- 2024
- [j4]Nastaran Darabi, Maeesha Binte Hashem, Hongyi Pan, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi:
ADC/DAC-Free Analog Acceleration of Deep Neural Networks With Frequency Transformation. IEEE Trans. Very Large Scale Integr. Syst. 32(6): 991-1003 (2024) - 2023
- [j3]Priyesh Shukla, Shamma Nasrin, Nastaran Darabi, Wilfred Gomes, Amit Ranjan Trivedi:
MC-CIM: Compute-in-Memory With Monte-Carlo Dropouts for Bayesian Edge Intelligence. IEEE Trans. Circuits Syst. I Regul. Pap. 70(2): 884-896 (2023) - 2022
- [j2]Shamma Nasrin, Ahish Shylendra, Nastaran Darabi, Theja Tulabandhula, Wilfred Gomes, Ankush Chakrabarty, Amit Ranjan Trivedi:
ENOS: Energy-Aware Network Operator Search in Deep Neural Networks. IEEE Access 10: 81447-81457 (2022) - 2021
- [j1]Shamma Nasrin, Diaa Badawi, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi:
MF-Net: Compute-In-Memory SRAM for Multibit Precision Inference Using Memory-Immersed Data Conversion and Multiplication-Free Operators. IEEE Trans. Circuits Syst. I Regul. Pap. 68(5): 1966-1978 (2021)
Conference and Workshop Papers
- 2024
- [c8]Sally Amin, Harish Krishnamurthy, Huong Do, Claudio Alvarez, Mike Hill, Kaladhar Radhakrishnan, Vivek De, Sheldon Weng, Krishnan Ravichandran, Jim Tschanz, Wilfred Gomes, Jonathan Douglas:
A 5.4V-Vin, 9.3A/mm2 10MHz Buck IVR Chiplet in 55nm BCD Featuring Self-Timed Bootstrap and Same-Cycle ZVS Control. VLSI Technology and Circuits 2024: 1-2 - 2023
- [c7]Shamma Nasrin, Maeesha Binte Hashem, Nastaran Darabi, Benjamin Parpillon, Farah Fahim, Wilfred Gomes, Amit Ranjan Trivedi:
Memory-Immersed Collaborative Digitization for Area-Efficient Compute-in-Memory Deep Learning. AICAS 2023: 1-5 - 2022
- [c6]Wilfred Gomes, Slade Morgan, Boyd Phelps, Tim Wilson, Erik Hallnor:
Meteor Lake and Arrow Lake Intel Next-Gen 3D Client Architecture Platform with Foveros. HCS 2022: 1-40 - [c5]Wilfred Gomes, Altug Koker, Patrick N. Stover, Doug B. Ingerly, Scott Siers, Srikrishnan Venkataraman, Chris Pelto, Tejas Shah, Amreesh Rao, Frank O'Mahony, Eric Karl, Lance Cheney, Iqbal Rajwani, Hemant Jain, Ryan Cortez, Arun Chandrasekhar, Basavaraj Kanthi, Raja Koduri:
Ponte Vecchio: A Multi-Tile 3D Stacked Processor for Exascale Computing. ISSCC 2022: 42-44 - 2020
- [c4]Wilfred Gomes, Sanjeev Khushu, Doug B. Ingerly, Patrick N. Stover, Nasirul I. Chowdhury, Frank O'Mahony, Ajay Balankutty, Noam Dolev, Martin G. Dixon, Lei Jiang, Surya Prekke, Biswajit Patra, Pavel V. Rott, Rajesh Kumar:
8.1 Lakefield and Mobility Compute: A 3D Stacked 10nm and 22FFL Hybrid Processor System in 12×12mm2, 1mm Package-on-Package. ISSCC 2020: 144-146 - 2019
- [c3]Sanjeev Khushu, Wilfred Gomes:
Lakefield: Hybrid cores in 3D Package. Hot Chips Symposium 2019: 1-20 - [c2]Shamma Nasrin, Diaa Badawi, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi:
Towards Co-designing Neural Network Function Approximators with In-SRAM Computing. EMC2@NeurIPS 2019: 40-43 - 2014
- [c1]Nasser A. Kurd, Muntaquim Chowdhury, Edward Burton, Thomas P. Thomas, Christopher Mozak, Brent Boswell, Manoj Lal, Anant Deval, Jonathan Douglas, Ali M. El-Husseini, Ankireddy Nalamalpu, Timothy M. Wilson, Matthew Merten, Srinivas Chennupaty, Wilfred Gomes, Rajesh Kumar:
5.9 Haswell: A family of IA 22nm processors. ISSCC 2014: 112-113
Informal and Other Publications
- 2023
- [i5]Shamma Nasrin, Maeesha Binte Hashem, Nastaran Darabi, Benjamin Parpillon, Farah Fahim, Wilfred Gomes, Amit Ranjan Trivedi:
Memory-Immersed Collaborative Digitization for Area-Efficient Compute-in-Memory Deep Learning. CoRR abs/2307.03863 (2023) - [i4]Nastaran Darabi, Maeesha Binte Hashem, Hongyi Pan, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi:
ADC/DAC-Free Analog Acceleration of Deep Neural Networks with Frequency Transformation. CoRR abs/2309.01771 (2023) - 2021
- [i3]Shamma Nasrin, Diaa Badawi, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi:
MF-Net: Compute-In-Memory SRAM for Multibit Precision Inference using Memory-immersed Data Conversion and Multiplication-free Operators. CoRR abs/2102.00035 (2021) - [i2]Shamma Nasrin, Ahish Shylendra, Yuti Kadakia, Nick Iliev, Wilfred Gomes, Theja Tulabandhula, Amit Ranjan Trivedi:
ENOS: Energy-Aware Network Operator Search for Hybrid Digital and Compute-in-Memory DNN Accelerators. CoRR abs/2104.05217 (2021) - [i1]Priyesh Shukla, Shamma Nasrin, Nastaran Darabi, Wilfred Gomes, Amit Ranjan Trivedi:
MC-CIM: Compute-in-Memory with Monte-Carlo Dropouts for Bayesian Edge Intelligence. CoRR abs/2111.07125 (2021)
Coauthor Index
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