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Phil C. Knag
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2020 – today
- 2024
- [j4]Chuan-Tung Lin
, Dewei Wang
DIMCA: An Area-Efficient Digital In-Memory Computing Macro Featuring Approximate Arithmetic Hardware in 28 nm. IEEE J. Solid State Circuits 59(3): 960-971 (2024) - 2023
- [j3]Gregory K. Chen
An Eight-Core RISC-V Processor With Compute Near Last Level Cache in Intel 4 CMOS. IEEE J. Solid State Circuits 58(4): 1117-1128 (2023) - [c11]Dewei Wang, Jonghyun Oh, Gregory K. Chen, Phil C. Knag, Ram K. Krishnamurthy, Mingoo Seok:
microASR: 32-μW Real-Time Automatic Speech Recognition Chip featuring a Bio-Inspired Neuron Model and Digital SRAM-based Compute-In-Memory Hardware. ESSCIRC 2023: 421-424 - 2022
- [c10]Dewei Wang, Chuan-Tung Lin, Gregory K. Chen, Phil C. Knag, Ram Kumar Krishnamurthy, Mingoo Seok:
DIMC: 2219TOPS/W 2569F2/b Digital In-Memory Computing Macro in 28nm Based on Approximate Arithmetic Hardware. ISSCC 2022: 266-268 - [c9]Gregory K. Chen, Phil C. Knag, Carlos Tokunaga
An 8-core RISC-V Processor with Compute near Last Level Cache in Intel 4 CMOS. VLSI Technology and Circuits 2022: 68-69 - 2021
- [j2]Phil C. Knag
A 617-TOPS/W All-Digital Binary Neural Network Accelerator in 10-nm FinFET CMOS. IEEE J. Solid State Circuits 56(4): 1082-1092 (2021) - 2020
- [c8]Amit Agarwal, Steven Hsu, Simeon Realov, Mark A. Anders, Gregory K. Chen, Monodeep Kar, Raghavan Kumar, Huseyin Sumbul, Phil C. Knag, Himanshu Kaul, Sanu Mathew, Mahesh Kumashikar, Ram Krishnamurthy, Vivek De:
25.7 Time-Borrowing Fast Mux-D Scan Flip-Flop with On-Chip Timing/Power/VMIN Characterization Circuits in 10nm CMOS. ISSCC 2020: 392-394 - [c7]Mark A. Anders, Himanshu Kaul, Seongjong Kim, Gregory K. Chen, Raghavan Kumar, Huseyin Ekin Sumbul, Phil C. Knag, Monodeep Kar, Steven K. Hsu, Amit Agarwal, Vikram B. Suresh, Sanu K. Mathew, Ram K. Krishnamurthy, Vivek De:
25.9 Reconfigurable Transient Current-Mode Global Interconnect Circuits in 10nm CMOS for High-Performance Processors with Wide Voltage-Frequency Operating Range. ISSCC 2020: 396-398 - [c6]Steven Hsu, Amit Agarwal, Simeon Realov, Mark A. Anders, Gregory K. Chen, Monodeep Kar, Raghavan Kumar, Huseyin Sumbul, Phil C. Knag, Himanshu Kaul, Vikram B. Suresh, Sanu Mathew, Iqbal Rajwani, Satish Damaraju, Ram Krishnamurthy, Vivek De:
Low-Clock-Power Digital Standard Cell IPs for High-Performance Graphics/AI Processors in 10nm CMOS. VLSI Circuits 2020: 1-2 - [c5]Monodeep Kar, Amit Agarwal, Steven Hsu, David Moloney, Gregory K. Chen, Raghavan Kumar, Huseyin Sumbul, Phil C. Knag, Mark A. Anders, Himanshu Kaul, Jonathan Byrne, Luca Sarti, Ram Krishnamurthy, Vivek De:
A Ray-Casting Accelerator in 10nm CMOS for Efficient 3D Scene Reconstruction in Edge Robotics and Augmented Reality Applications. VLSI Circuits 2020: 1-2 - [c4]Phil C. Knag, Gregory K. Chen, Huseyin Ekin Sumbul, Raghavan Kumar, Mark A. Anders, Himanshu Kaul, Steven K. Hsu, Amit Agarwal, Monodeep Kar, Seongjong Kim, Ram K. Krishnamurthy:
A 617 TOPS/W All Digital Binary Neural Network Accelerator in 10nm FinFET CMOS. VLSI Circuits 2020: 1-2
2010 – 2019
- 2019
- [j1]Gregory K. Chen
A 4096-Neuron 1M-Synapse 3.8-pJ/SOP Spiking Neural Network With On-Chip STDP Learning and Sparse Weights in 10-nm FinFET CMOS. IEEE J. Solid State Circuits 54(4): 992-1002 (2019) - [c3]Eriko Nurvitadhi, Dongup Kwon, Ali Jafari, Andrew Boutros, Jaewoong Sim, Phillip Tomson, Huseyin Sumbul, Gregory K. Chen, Phil C. Knag, Raghavan Kumar, Ram Krishnamurthy, Sergey Gribok, Bogdan Pasca
Why Compete When You Can Work Together: FPGA-ASIC Integration for Persistent RNNs. FCCM 2019: 199-207 - [c2]Eriko Nurvitadhi, Dongup Kwon, Ali Jafari, Andrew Boutros, Jaewoong Sim, Phillip Tomson, Huseyin Sumbul, Gregory K. Chen, Phil C. Knag, Raghavan Kumar, Ram Krishnamurthy, Debbie Marr, Sergey Gribok, Bogdan Pasca
Evaluating and Enhancing Intel® Stratix® 10 FPGAs for Persistent Real-Time AI. FPGA 2019: 119 - 2018
- [c1]Gregory K. Chen, Raghavan Kumar, Huseyin Ekin Sumbul, Phil C. Knag, Ram K. Krishnamurthy:
A 4096-Neuron 1M-Synapse 3.8PJ/SOP Spiking Neural Network with On-Chip STDP Learning and Sparse Weights in 10NM FinFET CMOS. VLSI Circuits 2018: 255-256
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