Arnab Raha

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 62

Top Topics

Predictive Control

Energy Efficient

Top Venues

IEEE Trans. Very Large Scale Integr. Syst.

ACM Trans. Embed. Comput. Syst.

Publications

Shamik Kundu, Arnab Raha, Deepak A. Mathaikutty, Kanad Basu
RASH: Reliable Deep Learning Acceleration using Sparsity-based Hardware. ISQED (2024)
Arghadip Das, Soumendu Kumar Ghosh, Arnab Raha, Vijay Raghunathan
Toward Energy-Efficient Collaborative Inference Using Multisystem Approximations. IEEE Internet Things J. 11 (10) (2024)
Ayush Arunachalam, Ian Kintz, Suvadeep Banerjee, Arnab Raha, Xiankun Jin, Fei Su, Viswanathan Pillai Prasanth, Rubin A. Parekhji, Suriyaprakash Natarajan, Kanad Basu
Enhancing Functional Safety in Automotive AMS Circuits through Unsupervised Machine Learning. CoRR (2024)
Arnab Raha, Deepak A. Mathaikutty, Soumendu Kumar Ghosh, Shamik Kundu
FlexNN: A Dataflow-aware Flexible Deep Learning Accelerator for Energy-Efficient Edge Devices. CoRR (2024)
Soumendu Kumar Ghosh, Arnab Raha, Vijay Raghunathan, Anand Raghunathan
PArtNNer: Platform-Agnostic Adaptive Edge-Cloud DNN Partitioning for Minimizing End-to-End Latency. ACM Trans. Embed. Comput. Syst. 23 (1) (2024)
Shamik Kundu, Navnil Choudhury, Sanjay Das, Arnab Raha, Kanad Basu
QNAD: Quantum Noise Injection for Adversarial Defense in Deep Neural Networks. HOST (2024)
Shamik Kundu, Sanjay Das, Sayar Karmakar, Arnab Raha, Souvik Kundu, Yiorgos Makris, Kanad Basu
Bit-by-Bit: Investigating the Vulnerabilities of Binary Neural Networks to Adversarial Bit Flipping. Trans. Mach. Learn. Res. 2024 (2024)
Shamik Kundu, Suvadeep Banerjee, Arnab Raha, Suriyaprakash Natarajan, Kanad Basu
DiagNNose: Toward Error Localization in Deep Learning Hardware-Based on VTA-TVM Stack. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (1) (2024)
Soumendu Kumar Ghosh, Shamik Kundu, Arnab Raha, Deepak A. Mathaikutty, Vijay Raghunathan
HARVEST: Towards Efficient Sparse DNN Accelerators using Programmable Thresholds. VLSID (2024)
Arghadip Das, Chandrachur Majumder, Debaprasad De, Arnab Raha, Mrinal Kanti Naskar
: Energy-Efficient Hardware Accelerators for Hidden Periodicity Detection. IEEE Trans. Computers 72 (10) (2023)
Charles Qi, Yi Wang, Hui Wang, Yang Lu, Shiva Shankar Subramanian, Finola Cahill, Conall Tuohy, Victor Li, Xu Qian, Darren Crews, Ling Wang, Shivaji Roy, Andrea Deidda, Martin Power, Niall Hanrahan, Rick Richmond, Umer Cheema, Arnab Raha, Alessandro Palla, Gary Baugh, Deepak Mathaikutty
VPU-EM: An Event-based Modeling Framework to Evaluate NPU Performance and Power Efficiency at Scale. CoRR (2023)
Soumendu Kumar Ghosh, Arnab Raha, Vijay Raghunathan
Energy-Efficient Approximate Edge Inference Systems. ACM Trans. Embed. Comput. Syst. 22 (4) (2023)
Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Suriyaprakash Natarajan, Kanad Basu
Analysis and Mitigation of DRAM Faults in Sparse-DNN Accelerators. IEEE Des. Test 40 (2) (2023)
Ayush Arunachalam, Sanjay Das, Monikka Rajan, Fei Su, Xiankun Jin, Suvadeep Banerjee, Arnab Raha, Suriyaprakash Natarajan, Kanad Basu
Enhanced ML-Based Approach for Functional Safety Improvement in Automotive AMS Circuits. ITC (2023)
Shamik Kundu, Suvadeep Banerjee, Arnab Raha, Fei Su, Suriyaprakash Natarajan, Kanad Basu
Trouble-Shooting at GAN Point: Improving Functional Safety in Deep Learning Accelerators. IEEE Trans. Computers 72 (8) (2023)
Ayush Arunachalam, Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Suriyaprakash Natarajan, Kanad Basu
A Novel Low-Power Compression Scheme for Systolic Array-Based Deep Learning Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (4) (2023)
Steven Hsu, Amit Agarwal, Mark A. Anders, Arnab Raha, Raymond Sung, Deepak Mathaikutty, Ram Krishnamurthy, James W. Tschanz, Vivek De
2.4GHz, Double-Buffered, 4kb Standard-Cell-Based Register File with Low-Power Mixed-Frequency Clocking for Machine Learning Accelerators. VLSI Technology and Circuits (2022)
Bodepu Sai Tirumala Naidu, Shreya Biswas, Rounak Chatterjee, Sayak Mandal, Srijan Pratihar, Ayan Chatterjee, Arnab Raha, Amitava Mukherjee, Janet Paluh
SCENIC: An Area and Energy-Efficient CNN-based Hardware Accelerator for Discernable Classification of Brain Pathologies using MRI. VLSID (2022)
Shamik Kundu, Akul Malhotra, Arnab Raha, Sumeet Kumar Gupta, Kanad Basu
RIBoNN: Designing Robust In-Memory Binary Neural Network Accelerators. ITC (2022)
Ayush Arunachalam, Athulya Kizhakkayil, Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Robert Jin, Fei Su, Kanad Basu
Unsupervised Learning-based Early Anomaly Detection in AMS Circuits of Automotive SoCs. ITC (2022)
Bitan Banerjee, Sibendu Paul, Omar Alfandi, Arnab Raha, Amitava Mukherjee
ENROUTE: An Entropy Aware Routing Scheme for Information-Centric Networks (ICN). Wirel. Pers. Commun. 122 (2) (2022)
Sandeep Krishna Thirumala, Arnab Raha, Sumeet Kumar Gupta, Vijay Raghunathan
Exploring the Design of Energy-Efficient Intermittently Powered Systems Using Reconfigurable Ferroelectric Transistors. IEEE Trans. Very Large Scale Integr. Syst. 30 (4) (2022)
Shamik Kundu, Suvadeep Banerjee, Arnab Raha, Kanad Basu
Special Session: Effective In-field Testing of Deep Neural Network Hardware Accelerators. VTS (2022)
Arghadip Das, Chandrachur Majumder, Debaprasad De, Arnab Raha, Mrinal Kanti Naskar
HIPER: Low Power, High Performance and Area-Efficient Hardware Accelerators for Hidden Periodicity Detection using Ramanujan Filter Banks. VLSI Design (2021)
Arnab Raha, Sang Kyun Kim, Deepak Mathaikutty, Guruguhanathan Venkataramanan, Debabrata Mohapatra, Raymond Sung, Cormac Brick, Gautham N. Chinya
Design Considerations for Edge Neural Network Accelerators: An Industry Perspective. VLSI Design (2021)
Rounak Chatterjee, Souradeep Chowdhury, Soham Mondal, Arnab Raha, Janet Paluh, Amitava Mukherjee
PreSyNC: Hardware realization of the Presynaptic Region of a Biologically Extensive Neuronal Circuitry. VLSI Design (2021)
Ayush Arunachalam, Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Suriyaprakash Natarajan, Kanad Basu
HardCompress: A Novel Hardware-based Low-power Compression Scheme for DNN Accelerators. ISQED (2021)
Shamik Kundu, Suvadeep Banerjee, Arnab Raha, Suriyaprakash Natarajan, Kanad Basu
Toward Functional Safety of Systolic Array-Based Deep Learning Hardware Accelerators. IEEE Trans. Very Large Scale Integr. Syst. 29 (3) (2021)
Archisman Ghosh, Biswadeep Chakraborty, Arnab Raha, Amitava Mukherjee
Improving Network Throughput by Hardware Realization of a Dynamic Content Caching Scheme for Information-Centric Networking (ICN). Wirel. Pers. Commun. 116 (4) (2021)
Arnab Raha, Soumendu Kumar Ghosh, Debabrata Mohapatra, Deepak A. Mathaikutty, Raymond Sung, Cormac Brick, Vijay Raghunathan
Special Session: Approximate TinyML Systems: Full System Approximations for Extreme Energy-Efficiency in Intelligent Edge Devices. ICCD (2021)
Sandeep Krishna Thirumala, Arnab Raha, Vijay Raghunathan, Sumeet Kumar Gupta
IPS-CiM: Enhancing Energy Efficiency of Intermittently-Powered Systems with Compute-in-Memory. ICCD (2020)
Ashish Ranjan, Arnab Raha, Vijay Raghunathan, Anand Raghunathan
Approximate Memory Compression. IEEE Trans. Very Large Scale Integr. Syst. 28 (4) (2020)
Avrajit Ghosh, Arnab Raha, Amitava Mukherjee
Energy-Efficient IoT-Health Monitoring System using Approximate Computing. Internet Things 9 (2020)
Arnab Raha, Ankush Chakrabarty, Vijay Raghunathan, Gregery T. Buzzard
Embedding Approximate Nonlinear Model Predictive Control at Ultrahigh Speed and Extremely Low Power. IEEE Trans. Control. Syst. Technol. 28 (3) (2020)
Soumendu Kumar Ghosh, Arnab Raha, Vijay Raghunathan
Approximate inference systems (AxIS): end-to-end approximations for energy-efficient inference at the edge. ISLPED (2020)
Archisman Ghosh, K. Gaurav Kumar, Debaprasad De, Arnab Raha, Mrinal Kanti Naskar
Energy-Efficient Edge Detection using Approximate Ramanujan Sums. ISQED (2020)
Sandeep Krishna Thirumala, T. Hung, Arnab Raha, Niharika Thakuria, K. Cho, Vijay Raghunathan, Zhihong Chen, S. Gupta
WSe2 based Valley-Coupled-Spintronic Devices for Low Power Non-Volatile Memories. DRC (2019)
Sandeep Krishna Thirumala, Yi-Tse Hung, Shubham Jain, Arnab Raha, Niharika Thakuria, Vijay Raghunathan, Anand Raghunathan, Zhihong Chen, Sumeet Kumar Gupta
Valley-Coupled-Spintronic Non-Volatile Memories with Compute-In-Memory Support. CoRR (2019)
Sandeep Krishna Thirumala, Arnab Raha, Vijaykrishnan Narayanan, Vijay Raghunathan, Sumeet Kumar Gupta
Non-volatile Logic and Memory based on Reconfigurable Ferroelectric Transistors. NANOARCH (2019)
Arnab Raha, Vijay Raghunathan
Approximating Beyond the Processor: Exploring Full-System Energy-Accuracy Tradeoffs in a Smart Camera System. IEEE Trans. Very Large Scale Integr. Syst. 26 (12) (2018)
Soubhagya Sutar, Arnab Raha, Vijay Raghunathan
Memory-Based Combination PUFs for Device Authentication in Embedded Systems. IEEE Trans. Multi Scale Comput. Syst. 4 (4) (2018)
Sandeep Krishna Thirumala, Arnab Raha, Hrishikesh Jayakumar, Kaisheng Ma, Narayanan Vijaykrishnan, Vijay Raghunathan, Sumeet Kumar Gupta
Dual Mode Ferroelectric Transistor based Non-Volatile Flip-Flops for Intermittently-Powered Systems. ISLPED (2018)
Soubhagya Sutar, Arnab Raha, Devadatta M. Kulkarni, Rajeev Shorey, Jeffrey D. Tew, Vijay Raghunathan
D-PUF: An Intrinsically Reconfigurable DRAM PUF for Device Authentication and Random Number Generation. ACM Trans. Embed. Comput. Syst. 17 (1) (2018)
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) (2018)
Arnab Raha, Vijay Raghunathan
Synergistic Approximation of Computation and Memory Subsystems for Error-Resilient Applications. IEEE Embed. Syst. Lett. 9 (1) (2017)
Arnab Raha, Ankush Chakrabarty, Vijay Raghunathan, Gregery T. Buzzard
Ultrafast embedded explicit model predictive control for nonlinear systems. ACC (2017)
Ashish Ranjan, Arnab Raha, Vijay Raghunathan, Anand Raghunathan
Approximate memory compression for energy-efficiency. ISLPED (2017)
Arnab Raha, Vijay Raghunathan
qLUT: Input-Aware Quantized Table Lookup for Energy-Efficient Approximate Accelerators. ACM Trans. Embed. Comput. Syst. 16 (5s) (2017)
Arnab Raha, Vijay Raghunathan
Towards Full-System Energy-Accuracy Tradeoffs: A Case Study of An Approximate Smart Camera System. DAC (2017)
Soubhagya Sutar, Arnab Raha, Vijay Raghunathan
Memory-based Combination PUFs for Device Authentication in Embedded Systems. CoRR (2017)
Hrishikesh Jayakumar, Arnab Raha, Jacob R. Stevens, Vijay Raghunathan
Energy-Aware Memory Mapping for Hybrid FRAM-SRAM MCUs in Intermittently-Powered IoT Devices. ACM Trans. Embed. Comput. Syst. 16 (3) (2017)
Arnab Raha, Swagath Venkataramani, Vijay Raghunathan, Anand Raghunathan
Energy-Efficient Reduce-and-Rank Using Input-Adaptive Approximations. IEEE Trans. Very Large Scale Integr. Syst. 25 (2) (2017)
Arnab Raha, Soubhagya Sutar, Hrishikesh Jayakumar, Vijay Raghunathan
Quality Configurable Approximate DRAM. IEEE Trans. Computers 66 (7) (2017)
Hrishikesh Jayakumar, Arnab Raha, Vijay Raghunathan
Sleep-Mode Voltage Scaling: Enabling SRAM Data Retention at Ultra-Low Power in Embedded Microcontrollers. ACM Trans. Embed. Comput. Syst. 16 (1) (2016)
Soubhagya Sutar, Arnab Raha, Vijay Raghunathan
D-PUF: an intrinsically reconfigurable DRAM PUF for device authentication in embedded systems. CASES (2016)
Hrishikesh Jayakumar, Arnab Raha, Younghyun Kim, Soubhagya Sutar, Woo Suk Lee, Vijay Raghunathan
Energy-efficient system design for IoT devices. ASP-DAC (2016)
Hrishikesh Jayakumar, Arnab Raha, Vijay Raghunathan
Energy-Aware Memory Mapping for Hybrid FRAM-SRAM MCUs in IoT Edge Devices. VLSI Design (2016)
Arnab Raha, Hrishikesh Jayakumar, Vijay Raghunathan
Input-Based Dynamic Reconfiguration of Approximate Arithmetic Units for Video Encoding. IEEE Trans. Very Large Scale Integr. Syst. 24 (3) (2016)
Arnab Raha, Subrata Mitra, Vijay Raghunathan, Sanjay Rao
VIDalizer: An energy efficient video streamer. WCNC (2015)
Arnab Raha, Swagath Venkataramani, Vijay Raghunathan, Anand Raghunathan
Quality configurable reduce-and-rank for energy efficient approximate computing. DATE (2015)
Hrishikesh Jayakumar, Arnab Raha, Woo Suk Lee, Vijay Raghunathan
QuickRecall: A HW/SW Approach for Computing across Power Cycles in Transiently Powered Computers. ACM J. Emerg. Technol. Comput. Syst. 12 (1) (2015)
Arnab Raha, Hrishikesh Jayakumar, Soubhagya Sutar, Vijay Raghunathan
Quality-aware data allocation in approximate DRAM? CASES (2015)
Hrishikesh Jayakumar, Kangwoo Lee, Woo Suk Lee, Arnab Raha, Younghyun Kim, Vijay Raghunathan
Powering the internet of things. ISLPED (2014)
Hrishikesh Jayakumar, Arnab Raha, Vijay Raghunathan
QUICKRECALL: A Low Overhead HW/SW Approach for Enabling Computations across Power Cycles in Transiently Powered Computers. VLSI Design (2014)
Shaik Sahil Babu, Arnab Raha, Omar Alfandi, Dieter Hogrefe, Mrinal Kanti Naskar
Trust integrated node potential aware routing for WSNs. Int. J. Trust. Manag. Comput. Commun. 2 (2) (2014)
Ashish Ranjan, Arnab Raha, Swagath Venkataramani, Kaushik Roy, Anand Raghunathan
ASLAN: Synthesis of approximate sequential circuits. DATE (2014)
Hrishikesh Jayakumar, Arnab Raha, Vijay Raghunathan
Hypnos: An ultra-low power sleep mode with SRAM data retention for embedded microcontrollers! CODES+ISSS (2014)
Arnab Raha, Hrishikesh Jayakumar, Vijay Raghunathan
A Power Efficient Video Encoder Using Reconfigurable Approximate Arithmetic Units. VLSI Design (2014)
Arpita Chakraborty, Arnab Raha, Shovan Maity, Mrinal Kanti Naskar, Anupam Karmakar
A fuzzy based trustworthy route selection method using LSRP in wireless sensor networks (FTRSP). CCSEIT (2012)
Shovan Maity, Arnab Raha, Souvik Kumar Mitra, Victor Seal, Mrinal Kanti Naskar, Amitava Mukherjee
An efficient sleep protocol for lifetime enhancement in multi covered and multi connected WSNs. ICACCI (2012)
Arnab Raha, Mrinal Kanti Naskar, Arpita Chakraborty, Omar Alfandi, Dieter Hogrefe
A Novel Indirect Trust Based Link State Routing Scheme Using a Robust Route Trust Method for Wireless Sensor Networks. NTMS (2012)
Arnab Raha, Shovan Maity, Mrinal Kanti Naskar, Omar Alfandi, Dieter Hogrefe
An optimal sensor deployment scheme to ensure multi level coverage and connectivity in wireless sensor networks. IWCMC (2012)
Victor Seal, Arnab Raha, Shovan Maity, Souvik Kumar Mitra, Amitava Mukherjee, Mrinal Kanti Naskar
A Simple Flood Forecasting Scheme Using Wireless Sensor Networks CoRR (2012)
Shaik Sahil Babu, Arnab Raha, Mrinal Kanti Naskar, Omar Alfandi, Dieter Hogrefe
Fuzzy Logic Election of Node for Routing in WSNs. TrustCom (2012)
Shaik Sahil Babu, Arnab Raha, Mrinal K. Naskar
A Direct Trust dependent Link State Routing Protocol Using Route Trusts for WSNs (DTLSRP). Wirel. Sens. Netw. 3 (4) (2011)
Arnab Raha, Shaik Sahil Babu, Mrinal Kanti Naskar, Omar Alfandi, Dieter Hogrefe
Trust integrated link state routing protocol for Wireless Sensor Networks (TILSRP). IEEE ANTS (2011)