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ORCIDSyed Shakib Sarwar
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2020 – today
- 2024
[j8]Arpan Suravi Prasad
, Moritz Scherer, Francesco Conti, Davide Rossi, Alfio Di Mauro, Manuel Eggimann, Jorge Tomás Gómez, Ziyun Li, Syed Shakib Sarwar, Zhao Wang, Barbara De Salvo, Luca Benini:
Siracusa: A 16 nm Heterogenous RISC-V SoC for Extended Reality With At-MRAM Neural Engine. IEEE J. Solid State Circuits 59(7): 2055-2069 (2024)- [j7]Yuan-Chun Luo, Anni Lu, Janak Sharda, Moritz Scherer, Jorge Tomás Gómez, Syed Shakib Sarwar, Ziyun Li, Reid Frederick Pinkham, Barbara De Salvo, Shimeng Yu:
Thermally Constrained Codesign of Heterogeneous 3-D Integration of Compute-in-Memory, Digital ML Accelerator, and RISC-V Cores for Mixed ML and Non-ML Workloads. IEEE Trans. Very Large Scale Integr. Syst. 32(9): 1718-1725 (2024) - 2023
- [j6]Vivek Parmar, Syed Shakib Sarwar, Ziyun Li, Hsien-Hsin S. Lee, Barbara De Salvo, Manan Suri:
Exploring Memory-Oriented Design Optimization of Edge AI Hardware for Extended Reality Applications. IEEE Micro 43(6): 40-49 (2023) - [c10]Vivek Parmar, Sandeep Kaur Kingra, Syed Shakib Sarwar, Ziyun Li, Barbara De Salvo, Manan Suri:
Fully-Binarized Distance Computation based On-device Few-Shot Learning for XR applications. CVPR Workshops 2023: 4502-4508 - [c9]Moritz Scherer, Manuel Eggimann, Alfio Di Mauro, Arpan Suravi Prasad, Francesco Conti, Davide Rossi, Jorge Tomás Gómez, Ziyun Li, Syed Shakib Sarwar, Zhao Wang, Barbara De Salvo, Luca Benini:
Siracusa: A Low-Power On-Sensor RISC-V SoC for Extended Reality Visual Processing in 16nm CMOS. ESSCIRC 2023: 217-220 - [i12]Arpan Suravi Prasad, Moritz Scherer, Francesco Conti, Davide Rossi, Alfio Di Mauro, Manuel Eggimann, Jorge Tomás Gómez, Ziyun Li, Syed Shakib Sarwar, Zhao Wang, Barbara De Salvo, Luca Benini:
Siracusa: A 16 nm Heterogenous RISC-V SoC for Extended Reality with At-MRAM Neural Engine. CoRR abs/2312.14750 (2023) - 2022
- [c8]Huseyin Ekin Sumbul, Tony F. Wu, Yuecheng Li, Syed Shakib Sarwar, William Koven, Eli Murphy-Trotzky, Xingxing Cai, Elnaz Ansari, Daniel H. Morris, Huichu Liu, Doyun Kim, Edith Beigné:
System-Level Design and Integration of a Prototype AR/VR Hardware Featuring a Custom Low-Power DNN Accelerator Chip in 7nm Technology for Codec Avatars. CICC 2022: 1-8 - [i11]Dominika Przewlocka-Rus, Syed Shakib Sarwar, Huseyin Ekin Sumbul, Yuecheng Li, Barbara De Salvo:
Power-of-Two Quantization for Low Bitwidth and Hardware Compliant Neural Networks. CoRR abs/2203.05025 (2022) - [i10]Jorge Gomez, Saavan Patel, Syed Shakib Sarwar, Ziyun Li, Raffaele Capoccia, Zhao Wang, Reid Pinkham, Andrew Berkovich, Tsung-Hsun Tsai, Barbara De Salvo, Chiao Liu:
Distributed On-Sensor Compute System for AR/VR Devices: A Semi-Analytical Simulation Framework for Power Estimation. CoRR abs/2203.07474 (2022) - [i9]Vivek Parmar, Syed Shakib Sarwar, Ziyun Li, Hsien-Hsin S. Lee, Barbara De Salvo, Manan Suri:
Memory-Oriented Design-Space Exploration of Edge-AI Hardware for XR Applications. CoRR abs/2206.06780 (2022) - [i8]Zhongnan Qu, Syed Shakib Sarwar, Xin Dong, Yuecheng Li, Huseyin Ekin Sumbul, Barbara De Salvo:
DRESS: Dynamic REal-time Sparse Subnets. CoRR abs/2207.00670 (2022) - 2020
- [j5]Syed Shakib Sarwar, Aayush Ankit, Kaushik Roy:
Incremental Learning in Deep Convolutional Neural Networks Using Partial Network Sharing. IEEE Access 8: 4615-4628 (2020) - [c7]Gopalakrishnan Srinivasan, Chankyu Lee, Abhronil Sengupta, Priyadarshini Panda, Syed Shakib Sarwar, Kaushik Roy:
Training Deep Spiking Neural Networks for Energy-Efficient Neuromorphic Computing. ICASSP 2020: 8549-8553
2010 – 2019
- 2019
- [c6]Saima Sharmin, Priyadarshini Panda, Syed Shakib Sarwar, Chankyu Lee, Wachirawit Ponghiran, Kaushik Roy:
A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks. IJCNN 2019: 1-8 - [i7]Chankyu Lee, Syed Shakib Sarwar, Kaushik Roy:
Enabling Spike-based Backpropagation in State-of-the-art Deep Neural Network Architectures. CoRR abs/1903.06379 (2019) - [i6]Saima Sharmin, Priyadarshini Panda, Syed Shakib Sarwar, Chankyu Lee, Wachirawit Ponghiran, Kaushik Roy:
A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks. CoRR abs/1905.02704 (2019) - 2018
- [j4]Syed Shakib Sarwar, Gopalakrishnan Srinivasan, Bing Han, Parami Wijesinghe, Akhilesh Jaiswal, Priyadarshini Panda, Anand Raghunathan, Kaushik Roy:
Energy Efficient Neural Computing: A Study of Cross-Layer Approximations. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(4): 796-809 (2018) - [j3]Syed Shakib Sarwar, Swagath Venkataramani, Aayush Ankit, Anand Raghunathan, Kaushik Roy:
Energy-Efficient Neural Computing with Approximate Multipliers. ACM J. Emerg. Technol. Comput. Syst. 14(2): 16:1-16:23 (2018) - [j2]Arnab Raha, Akhilesh Jaiswal, Syed Shakib Sarwar, Hrishikesh Jayakumar, Vijay Raghunathan, Kaushik Roy:
Designing Energy-Efficient Intermittently Powered Systems Using Spin-Hall-Effect-Based Nonvolatile SRAM. IEEE Trans. Very Large Scale Integr. Syst. 26(2): 294-307 (2018) - 2017
- [c5]Syed Shakib Sarwar, Priyadarshini Panda, Kaushik Roy:
Gabor filter assisted energy efficient fast learning Convolutional Neural Networks. ISLPED 2017: 1-6 - [i5]Syed Shakib Sarwar, Priyadarshini Panda, Kaushik Roy:
Gabor Filter Assisted Energy Efficient Fast Learning Convolutional Neural Networks. CoRR abs/1705.04748 (2017) - [i4]Syed Shakib Sarwar, Aayush Ankit, Kaushik Roy:
Incremental Learning in Deep Convolutional Neural Networks Using Partial Network Sharing. CoRR abs/1712.02719 (2017) - 2016
- [c4]Priyadarshini Panda, Abhronil Sengupta, Syed Shakib Sarwar, Gopalakrishnan Srinivasan, Swagath Venkataramani, Anand Raghunathan, Kaushik Roy:
Invited - Cross-layer approximations for neuromorphic computing: from devices to circuits and systems. DAC 2016: 98:1-98:6 - [c3]Syed Shakib Sarwar, Swagath Venkataramani, Anand Raghunathan, Kaushik Roy:
Multiplier-less Artificial Neurons exploiting error resiliency for energy-efficient neural computing. DATE 2016: 145-150 - [c2]Gopalakrishnan Srinivasan, Parami Wijesinghe, Syed Shakib Sarwar, Akhilesh Jaiswal, Kaushik Roy:
Significance driven hybrid 8T-6T SRAM for energy-efficient synaptic storage in artificial neural networks. DATE 2016: 151-156 - [c1]Vojtech Mrazek, Syed Shakib Sarwar, Lukás Sekanina, Zdenek Vasícek, Kaushik Roy:
Design of power-efficient approximate multipliers for approximate artificial neural networks. ICCAD 2016: 81 - [i3]Gopalakrishnan Srinivasan, Parami Wijesinghe, Syed Shakib Sarwar, Akhilesh Jaiswal, Kaushik Roy:
Significance Driven Hybrid 8T-6T SRAM for Energy-Efficient Synaptic Storage in Artificial Neural Networks. CoRR abs/1602.08556 (2016) - [i2]Syed Shakib Sarwar, Swagath Venkataramani, Anand Raghunathan, Kaushik Roy:
Multiplier-less Artificial Neurons Exploiting Error Resiliency for Energy-Efficient Neural Computing. CoRR abs/1602.08557 (2016) - 2015
- [i1]Zubair Al Azim, Abhronil Sengupta, Syed Shakib Sarwar, Kaushik Roy:
Spin-Torque Sensors for Energy Efficient High Speed Long Interconnects. CoRR abs/1512.00762 (2015) - 2013
- [j1]Syed Shakib Sarwar, Syed an Nazmus Saqueb, Farhan Quaiyum, A. B. M. Harun-ur Rashid:
Memristor-Based Nonvolatile Random Access Memory: Hybrid Architecture for Low Power Compact Memory Design. IEEE Access 1: 29-34 (2013)
Coauthor Index
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