Saransh Gupta - RankMe

57 papers A* 7A 12B 1C 3Journal 20Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	FHEmem: A Processing In-Memory Accelerator for Fully Homomorphic Encryption. IEEE Trans. Emerg. Top. Comput. Minxuan Zhou, Yujin Nam, Pranav Gangwar, Weihong Xu, Arpan Dutta, Chris Wilkerson, Rosario Cammarota, Saransh Gupta, Tajana Rosing
2025	J	`jnl`	HDDB: Efficient In-Storage SQL Database Search Using Hyperdimensional Computing on Ferroelectric NAND Flash. CoRR Quanling Zhao, Yanru Chen, Runyang Tian, Sumukh Pinge, Weihong Xu, Augusto Vega, Steven Holmes, Saransh Gupta, Tajana Rosing
2025	—	`conf`	Symbiosis: Multi-Adapter Inference and Fine-Tuning. SoCC Saransh Gupta, Umesh Deshpande, Travis Janssen, Swaminathan Sundararaman
2025	J	`jnl`	Symbiosis: Multi-Adapter Inference and Fine-Tuning. CoRR Saransh Gupta, Umesh Deshpande, Travis Janssen, Swaminathan Sundararaman
2025	J	`jnl`	Tri-HD: Energy-Efficient On-Chip Learning With In-Memory Hyperdimensional Computing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Weihong Xu, Saransh Gupta, Justin Morris, Xincheng Shen, Mohsen Imani, Baris Aksanli, Tajana Rosing
2024	J	`jnl`	MemFHE: End-to-end Computing with Fully Homomorphic Encryption in Memory. ACM Trans. Embed. Comput. Syst. Saransh Gupta, Rosario Cammarota, Tajana Simunic
2023	J	`jnl`	ClotCatcher: a novel natural language model to accurately adjudicate venous thromboembolism from radiology reports. BMC Medical Informatics Decis. Mak. Jeffrey Wang, Joao Souza de Vale, Saransh Gupta, Pulakesh Upadhyaya, Felipe A. Lisboa, Seth A. Schobel, Eric A. Elster, Christopher J. Dente, Timothy G. Buchman, Rishikesan Kamaleswaran
2023	A	`conf`	Efficient Machine Learning on Encrypted Data Using Hyperdimensional Computing. ISLPED Yujin Nam, Minxuan Zhou, Saransh Gupta, Gabrielle De Micheli, Rosario Cammarota, Chris Wilkerson, Daniele Micciancio, Tajana Rosing
2023	—	`conf`	Enhanced Heart Disease Classification Using Parallelization and Integrated Machine-Learning Techniques. CVIP (3) Subham Panda, Rishik Gupta, Chandan Kumar, Rashi Mishra, Saransh Gupta, Akash Bhardwaj, Pratiksh Kumar, Prakhar Shukla, Bagesh Kumar
2023	J	`jnl`	FHEmem: A Processing In-Memory Accelerator for Fully Homomorphic Encryption. CoRR Minxuan Zhou, Yujin Nam, Pranav Gangwar, Weihong Xu, Arpan Dutta, Kartikeyan Subramanyam, Chris Wilkerson, Rosario Cammarota, Saransh Gupta, Tajana Rosing
2023	J	`jnl`	RAPIDx: High-Performance ReRAM Processing In-Memory Accelerator for Sequence Alignment. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Weihong Xu, Saransh Gupta, Niema Moshiri, Tajana Simunic Rosing
2023	C	`conf`	Sparsity Controllable Hyperdimensional Computing for Genome Sequence Matching Acceleration. VLSI-SoC Hanning Chen, Yeseong Kim, Elaheh Sadredini, Saransh Gupta, Hugo Latapie, Mohsen Imani
2022	J	`jnl`	COSMO: Computing with Stochastic Numbers in Memory. ACM J. Emerg. Technol. Comput. Syst. Saransh Gupta, Mohsen Imani, Joonseop Sim, Andrew Huang, Fan Wu, Jaeyoung Kang, Yeseong Kim, Tajana Simunic Rosing
2022	—	`conf`	HDnn-PIM: Efficient in Memory Design of Hyperdimensional Computing with Feature Extraction. ACM Great Lakes Symposium on VLSI Arpan Dutta, Saransh Gupta, Behnam Khaleghi, Rishikanth Chandrasekaran, Weihong Xu, Tajana Rosing
2022	J	`jnl`	Integrative Network Modeling Highlights the Crucial Roles of Rho-GDI Signaling Pathway in the Progression of non-Small Cell Lung Cancer. IEEE J. Biomed. Health Informatics Saransh Gupta, Haswanth Vundavilli, Rodolfo S. Allendes Osorio, Mari N. Itoh, Attayeb Mohsen, Aniruddha Datta, Kenji Mizuguchi, Lokesh P. Tripathi
2022	J	`jnl`	MemFHE: End-to-End Computing with Fully Homomorphic Encryption in Memory. CoRR Saransh Gupta, Rosario Cammarota, Tajana Rosing
2022	J	`jnl`	RAPIDx: High-performance ReRAM Processing in-Memory Accelerator for Sequence Alignment. CoRR Weihong Xu, Saransh Gupta, Niema Moshiri, Tajana Rosing
2022	J	`jnl`	Store-n-Learn: Classification and Clustering with Hyperdimensional Computing across Flash Hierarchy. ACM Trans. Embed. Comput. Syst. Saransh Gupta, Behnam Khaleghi, Sahand Salamat, Justin Morris, Ranganathan Ramkumar, Jeffrey Yu, Aniket Tiwari, Jaeyoung Kang, Mohsen Imani, Baris Aksanli, Tajana Simunic Rosing
2021	—	`conf`	DP-Sim: A Full-stack Simulation Infrastructure for Digital Processing In-Memory Architectures. ASP-DAC Minxuan Zhou, Mohsen Imani, Yeseong Kim, Saransh Gupta, Tajana Rosing
2021	—	`—`	Efficient and Secure Learning across Memory Hierarchy Saransh Gupta
2021	A*	`conf`	Invited: Accelerating Fully Homomorphic Encryption with Processing in Memory. DAC Saransh Gupta, Tajana Simunic Rosing
2021	A	`conf`	Massively Parallel Big Data Classification on a Programmable Processing In-Memory Architecture. ICCAD Yeseong Kim, Mohsen Imani, Saransh Gupta, Minxuan Zhou, Tajana Simunic Rosing
2021	B	`conf`	PIM-DL: Boosting DNN Inference on Digital Processing In-Memory Architectures via Data Layout Optimizations. PACT Minxuan Zhou, Guoyang Chen, Mohsen Imani, Saransh Gupta, Weifeng Zhang, Tajana Rosing
2021	C	`conf`	Stochastic-HD: Leveraging Stochastic Computing on Hyper-Dimensional Computing. ICCD Yilun Hao, Saransh Gupta, Justin Morris, Behnam Khaleghi, Baris Aksanli, Tajana Rosing
2020	A*	`conf`	CryptoPIM: In-memory Acceleration for Lattice-based Cryptographic Hardware. DAC Hamid Nejatollahi, Saransh Gupta, Mohsen Imani, Tajana Simunic Rosing, Rosario Cammarota, Nikil D. Dutt
2020	J	`jnl`	CryptoPIM: In-memory Acceleration for Lattice-based Cryptographic Hardware. IACR Cryptol. ePrint Arch. Hamid Nejatollahi, Saransh Gupta, Mohsen Imani, Tajana Simunic Rosing, Rosario Cammarota, Nikil D. Dutt
2020	A*	`conf`	DUAL: Acceleration of Clustering Algorithms using Digital-based Processing In-Memory. MICRO Mohsen Imani, Saikishan Pampana, Saransh Gupta, Minxuan Zhou, Yeseong Kim, Tajana Rosing
2020	—	`conf`	Deep Learning Acceleration using Digital-Based Processing In-Memory. SoCC Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing
2020	A*	`conf`	Deep Learning Acceleration with Neuron-to-Memory Transformation. HPCA Mohsen Imani, Mohammad Samragh Razlighi, Yeseong Kim, Saransh Gupta, Farinaz Koushanfar, Tajana Rosing
2020	A	`conf`	Implementing binary neural networks in memory with approximate accumulation. ISLPED Saransh Gupta, Mohsen Imani, Hengyu Zhao, Fan Wu, Jishen Zhao, Tajana Simunic Rosing
2020	C	`conf`	Multi-label HD Classification in 3D Flash. VLSI-SOC Justin Morris, Yilun Hao, Saransh Gupta, Ranganathan Ramkumar, Jeffrey Yu, Mohsen Imani, Baris Aksanli, Tajana Rosing
2020	A	`conf`	SCRIMP: A General Stochastic Computing Architecture using ReRAM in-Memory Processing. DATE Saransh Gupta, Mohsen Imani, Joonseop Sim, Andrew Huang, Fan Wu, M. Hassan Najafi, Tajana Rosing
2020	J	`jnl`	SearcHD: A Memory-Centric Hyperdimensional Computing With Stochastic Training. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Mohsen Imani, Xunzhao Yin, John Messerly, Saransh Gupta, Michael T. Niemier, Xiaobo Sharon Hu, Tajana Rosing
2020	A	`conf`	THRIFTY: Training with Hyperdimensional Computing across Flash Hierarchy. ICCAD Saransh Gupta, Justin Morris, Mohsen Imani, Ranganathan Ramkumar, Jeffrey Yu, Aniket Tiwari, Baris Aksanli, Tajana Simunic Rosing
2020	J	`jnl`	Trustworthy AI Inference Systems: An Industry Research View. CoRR Rosario Cammarota, Matthias Schunter, Anand Rajan, Fabian Boemer, Ágnes Kiss, Amos Treiber, Christian Weinert, Thomas Schneider, Emmanuel Stapf, Ahmad-Reza Sadeghi, Daniel Demmler, Huili Chen, Siam Umar Hussain, M. Sadegh Riazi, Farinaz Koushanfar, Saransh Gupta, Tajana Simunic Rosing, Kamalika Chaudhuri, Hamid Nejatollahi, Nikil D. Dutt, Mohsen Imani, Kim Laine, Anuj Dubey, Aydin Aysu, Fateme Sadat Hosseini, Chengmo Yang, Eric Wallace, Pamela Norton
2019	—	`conf`	Digital-based processing in-memory: a highly-parallel accelerator for data intensive applications. MEMSYS Mohsen Imani, Saransh Gupta, Tajana Rosing
2019	—	`conf`	DigitalPIM: Digital-based Processing In-Memory for Big Data Acceleration. ACM Great Lakes Symposium on VLSI Mohsen Imani, Saransh Gupta, Yeseong Kim, Minxuan Zhou, Tajana Rosing
2019	—	`conf`	Exploring Processing In-Memory for Different Technologies. ACM Great Lakes Symposium on VLSI Saransh Gupta, Mohsen Imani, Tajana Rosing
2019	—	`conf`	FACH: FPGA-based acceleration of hyperdimensional computing by reducing computational complexity. ASP-DAC Mohsen Imani, Sahand Salamat, Saransh Gupta, Jiani Huang, Tajana Rosing
2019	A*	`conf`	FloatPIM: in-memory acceleration of deep neural network training with high precision. ISCA Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing
2019	—	`conf`	GRAM: graph processing in a ReRAM-based computational memory. ASP-DAC Minxuan Zhou, Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing
2019	A	`conf`	HDCluster: An Accurate Clustering Using Brain-Inspired High-Dimensional Computing. DATE Mohsen Imani, Yeseong Kim, Thomas Worley, Saransh Gupta, Tajana Rosing
2019	J	`jnl`	Hardware-Software Co-design to Accelerate Neural Network Applications. ACM J. Emerg. Technol. Comput. Syst. Mohsen Imani, Ricardo Garcia, Saransh Gupta, Tajana Rosing
2019	—	`conf`	MAPIM: Mat Parallelism for High Performance Processing in Non-volatile Memory Architecture. ISQED Joonseop Sim, Minsu Kim, Yeseong Kim, Saransh Gupta, Behnam Khaleghi, Tajana Rosing
2019	J	`jnl`	NNPIM: A Processing In-Memory Architecture for Neural Network Acceleration. IEEE Trans. Computers Saransh Gupta, Mohsen Imani, Harveen Kaur, Tajana Simunic Rosing
2019	J	`jnl`	NVQuery: Efficient Query Processing in Nonvolatile Memory. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Mohsen Imani, Saransh Gupta, Sahil Sharma, Tajana Simunic Rosing
2019	A	`conf`	RAPID: A ReRAM Processing in-Memory Architecture for DNA Sequence Alignment. ISLPED Saransh Gupta, Mohsen Imani, Behnam Khaleghi, Venkatesh Kumar, Tajana Rosing
2019	A*	`conf`	Thermal-Aware Design and Management for Search-based In-Memory Acceleration. DAC Minxuan Zhou, Mohsen Imani, Saransh Gupta, Tajana Rosing
2019	—	`conf`	UPIM: Unipolar Switching Logic for High Density Processing-in-Memory Applications. ACM Great Lakes Symposium on VLSI Joonseop Sim, Saransh Gupta, Mohsen Imani, Yeseong Kim, Tajana Rosing
2018	A	`conf`	FELIX: fast and energy-efficient logic in memory. ICCAD Saransh Gupta, Mohsen Imani, Tajana Rosing
2018	A	`conf`	GAS: A Heterogeneous Memory Architecture for Graph Processing. ISLPED Minxuan Zhou, Mohsen Imani, Saransh Gupta, Tajana Rosing
2018	A	`conf`	GenPIM: Generalized processing in-memory to accelerate data intensive applications. DATE Mohsen Imani, Saransh Gupta, Tajana Rosing
2018	J	`jnl`	RAPIDNN: In-Memory Deep Neural Network Acceleration Framework. CoRR Mohsen Imani, Mohammad Samragh, Yeseong Kim, Saransh Gupta, Farinaz Koushanfar, Tajana Rosing
2018	A	`conf`	RMAC: Runtime Configurable Floating Point Multiplier for Approximate Computing. ISLPED Mohsen Imani, Ricardo Garcia, Saransh Gupta, Tajana Rosing
2018	—	`conf`	RNSnet: In-Memory Neural Network Acceleration Using Residue Number System. ICRC Sahand Salamat, Mohsen Imani, Saransh Gupta, Tajana Rosing
2017	A	`conf`	Efficient query processing in crossbar memory. ISLPED Mohsen Imani, Saransh Gupta, Atl Arredondo, Tajana Rosing
2017	A*	`conf`	Ultra-Efficient Processing In-Memory for Data Intensive Applications. DAC Mohsen Imani, Saransh Gupta, Tajana Rosing