Syed Shakib Sarwar

According to our database, Syed Shakib Sarwar authored at least 23 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Exploring Memory-Oriented Design Optimization of Edge AI Hardware for Extended Reality Applications.

Vivek Parmar, Syed Shakib Sarwar, Ziyun Li, Hsien-Hsin S. Lee, Barbara De Salvo, Manan Suri

IEEE Micro, 2023

Siracusa: A 16 nm Heterogenous RISC-V SoC for Extended Reality with At-MRAM Neural Engine.

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

CoRR, 2023

Siracusa: A Low-Power On-Sensor RISC-V SoC for Extended Reality Visual Processing in 16nm CMOS.

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

Proceedings of the 49th IEEE European Solid State Circuits Conference, 2023

Fully-Binarized Distance Computation based On-device Few-Shot Learning for XR applications.

Vivek Parmar, Sandeep Kaur Kingra, Syed Shakib Sarwar, Ziyun Li, Barbara De Salvo, Manan Suri

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

DRESS: Dynamic REal-time Sparse Subnets.

Zhongnan Qu, Syed Shakib Sarwar, Xin Dong, Yuecheng Li, Huseyin Ekin Sumbul, Barbara De Salvo

CoRR, 2022

Memory-Oriented Design-Space Exploration of Edge-AI Hardware for XR Applications.

Vivek Parmar, Syed Shakib Sarwar, Ziyun Li, Hsien-Hsin S. Lee, Barbara De Salvo, Manan Suri

CoRR, 2022

Distributed On-Sensor Compute System for AR/VR Devices: A Semi-Analytical Simulation Framework for Power Estimation.

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

CoRR, 2022

Power-of-Two Quantization for Low Bitwidth and Hardware Compliant Neural Networks.

Dominika Przewlocka-Rus, Syed Shakib Sarwar, Huseyin Ekin Sumbul, Yuecheng Li, Barbara De Salvo

CoRR, 2022

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.

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

Proceedings of the IEEE Custom Integrated Circuits Conference, 2022

2020

Incremental Learning in Deep Convolutional Neural Networks Using Partial Network Sharing.

Syed Shakib Sarwar, Aayush Ankit, Kaushik Roy

IEEE Access, 2020

Training Deep Spiking Neural Networks for Energy-Efficient Neuromorphic Computing.

Gopalakrishnan Srinivasan, Chankyu Lee, Abhronil Sengupta, Priyadarshini Panda, Syed Shakib Sarwar, Kaushik Roy

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Enabling Spike-based Backpropagation in State-of-the-art Deep Neural Network Architectures.

Chankyu Lee, Syed Shakib Sarwar, Kaushik Roy

CoRR, 2019

A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks.

Saima Sharmin, Priyadarshini Panda, Syed Shakib Sarwar, Chankyu Lee, Wachirawit Ponghiran, Kaushik Roy

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Designing Energy-Efficient Intermittently Powered Systems Using Spin-Hall-Effect-Based Nonvolatile SRAM.

Arnab Raha, Akhilesh Jaiswal, Syed Shakib Sarwar, Hrishikesh Jayakumar, Vijay Raghunathan, Kaushik Roy

IEEE Trans. Very Large Scale Integr. Syst., 2018

Energy-Efficient Neural Computing with Approximate Multipliers.

Syed Shakib Sarwar, Swagath Venkataramani, Aayush Ankit, Anand Raghunathan, Kaushik Roy

ACM J. Emerg. Technol. Comput. Syst., 2018

Energy Efficient Neural Computing: A Study of Cross-Layer Approximations.

Syed Shakib Sarwar, Gopalakrishnan Srinivasan, Bing Han, Parami Wijesinghe, Akhilesh Jaiswal, Priyadarshini Panda, Anand Raghunathan, Kaushik Roy

IEEE J. Emerg. Sel. Topics Circuits Syst., 2018

2017

Gabor filter assisted energy efficient fast learning Convolutional Neural Networks.

Syed Shakib Sarwar, Priyadarshini Panda, Kaushik Roy

Proceedings of the 2017 IEEE/ACM International Symposium on Low Power Electronics and Design, 2017

2016

Design of power-efficient approximate multipliers for approximate artificial neural networks.

Vojtech Mrazek, Syed Shakib Sarwar, Lukás Sekanina, Zdenek Vasícek, Kaushik Roy

Proceedings of the 35th International Conference on Computer-Aided Design, 2016

Significance driven hybrid 8T-6T SRAM for energy-efficient synaptic storage in artificial neural networks.

Gopalakrishnan Srinivasan, Parami Wijesinghe, Syed Shakib Sarwar, Akhilesh Jaiswal, Kaushik Roy

Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016

Multiplier-less Artificial Neurons exploiting error resiliency for energy-efficient neural computing.

Syed Shakib Sarwar, Swagath Venkataramani, Anand Raghunathan, Kaushik Roy

Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016

Invited - Cross-layer approximations for neuromorphic computing: from devices to circuits and systems.

Priyadarshini Panda, Abhronil Sengupta, Syed Shakib Sarwar, Gopalakrishnan Srinivasan, Swagath Venkataramani, Anand Raghunathan, Kaushik Roy

Proceedings of the 53rd Annual Design Automation Conference, 2016

2015

Spin-Torque Sensors for Energy Efficient High Speed Long Interconnects.

Zubair Al Azim, Abhronil Sengupta, Syed Shakib Sarwar, Kaushik Roy

CoRR, 2015

2013

Memristor-Based Nonvolatile Random Access Memory: Hybrid Architecture for Low Power Compact Memory Design.

Syed Shakib Sarwar, Syed an Nazmus Saqueb, Farhan Quaiyum, A. B. M. Harun-ur Rashid

IEEE Access, 2013