Saransh Gupta

ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 51

Top Venues

ISLPED

CoRR

DAC

ACM Great Lakes Symposium on VLSI

University of California, San Diego, USA (PHD)

Education History

University of California, San Diego, USA

PHD

Publications

Saransh Gupta, Rosario Cammarota, Tajana Simunic
MemFHE: End-to-end Computing with Fully Homomorphic Encryption in Memory. ACM Trans. Embed. Comput. Syst. 23 (2) (2024)
Minxuan Zhou, Yujin Nam, Pranav Gangwar, Weihong Xu, Arpan Dutta, Kartikeyan Subramanyam, Chris Wilkerson, Rosario Cammarota, Saransh Gupta, Tajana Rosing
FHEmem: A Processing In-Memory Accelerator for Fully Homomorphic Encryption. CoRR (2023)
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
ClotCatcher: a novel natural language model to accurately adjudicate venous thromboembolism from radiology reports. BMC Medical Informatics Decis. Mak. 23 (1) (2023)
Hanning Chen, Yeseong Kim, Elaheh Sadredini, Saransh Gupta, Hugo Latapie, Mohsen Imani
Sparsity Controllable Hyperdimensional Computing for Genome Sequence Matching Acceleration. VLSI-SoC (2023)
Subham Panda, Rishik Gupta, Chandan Kumar, Rashi Mishra, Saransh Gupta, Akash Bhardwaj, Pratiksh Kumar, Prakhar Shukla, Bagesh Kumar
Enhanced Heart Disease Classification Using Parallelization and Integrated Machine-Learning Techniques. CVIP (3) (2023)
Yujin Nam, Minxuan Zhou, Saransh Gupta, Gabrielle De Micheli, Rosario Cammarota, Chris Wilkerson, Daniele Micciancio, Tajana Rosing
Efficient Machine Learning on Encrypted Data Using Hyperdimensional Computing. ISLPED (2023)
Weihong Xu, Saransh Gupta, Niema Moshiri, Tajana Simunic Rosing
RAPIDx: High-Performance ReRAM Processing In-Memory Accelerator for Sequence Alignment. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (10) (2023)
Weihong Xu, Saransh Gupta, Niema Moshiri, Tajana Rosing
RAPIDx: High-performance ReRAM Processing in-Memory Accelerator for Sequence Alignment. CoRR (2022)
Saransh Gupta, Behnam Khaleghi, Sahand Salamat, Justin Morris, Ranganathan Ramkumar, Jeffrey Yu, Aniket Tiwari, Jaeyoung Kang, Mohsen Imani, Baris Aksanli, Tajana Simunic Rosing
Store-n-Learn: Classification and Clustering with Hyperdimensional Computing across Flash Hierarchy. ACM Trans. Embed. Comput. Syst. 21 (3) (2022)
Arpan Dutta, Saransh Gupta, Behnam Khaleghi, Rishikanth Chandrasekaran, Weihong Xu, Tajana Rosing
HDnn-PIM: Efficient in Memory Design of Hyperdimensional Computing with Feature Extraction. ACM Great Lakes Symposium on VLSI (2022)
Saransh Gupta, Mohsen Imani, Joonseop Sim, Andrew Huang, Fan Wu, Jaeyoung Kang, Yeseong Kim, Tajana Simunic Rosing
COSMO: Computing with Stochastic Numbers in Memory. ACM J. Emerg. Technol. Comput. Syst. 18 (2) (2022)
Saransh Gupta, Rosario Cammarota, Tajana Rosing
MemFHE: End-to-End Computing with Fully Homomorphic Encryption in Memory. CoRR (2022)
Saransh Gupta, Haswanth Vundavilli, Rodolfo S. Allendes Osorio, Mari N. Itoh, Attayeb Mohsen, Aniruddha Datta, Kenji Mizuguchi, Lokesh P. Tripathi
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 26 (9) (2022)
Yeseong Kim, Mohsen Imani, Saransh Gupta, Minxuan Zhou, Tajana Simunic Rosing
Massively Parallel Big Data Classification on a Programmable Processing In-Memory Architecture. ICCAD (2021)
Minxuan Zhou, Mohsen Imani, Yeseong Kim, Saransh Gupta, Tajana Rosing
DP-Sim: A Full-stack Simulation Infrastructure for Digital Processing In-Memory Architectures. ASP-DAC (2021)
Yilun Hao, Saransh Gupta, Justin Morris, Behnam Khaleghi, Baris Aksanli, Tajana Rosing
Stochastic-HD: Leveraging Stochastic Computing on Hyper-Dimensional Computing. ICCD (2021)
Minxuan Zhou, Guoyang Chen, Mohsen Imani, Saransh Gupta, Weifeng Zhang, Tajana Rosing
PIM-DL: Boosting DNN Inference on Digital Processing In-Memory Architectures via Data Layout Optimizations. PACT (2021)
Saransh Gupta, Tajana Simunic Rosing
Invited: Accelerating Fully Homomorphic Encryption with Processing in Memory. DAC (2021)
Mohsen Imani, Xunzhao Yin, John Messerly, Saransh Gupta, Michael T. Niemier, Xiaobo Sharon Hu, Tajana Rosing
SearcHD: A Memory-Centric Hyperdimensional Computing With Stochastic Training. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (10) (2020)
Hamid Nejatollahi, Saransh Gupta, Mohsen Imani, Tajana Simunic Rosing, Rosario Cammarota, Nikil D. Dutt
CryptoPIM: In-memory Acceleration for Lattice-based Cryptographic Hardware. DAC (2020)
Saransh Gupta, Mohsen Imani, Hengyu Zhao, Fan Wu, Jishen Zhao, Tajana Simunic Rosing
Implementing binary neural networks in memory with approximate accumulation. ISLPED (2020)
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
Trustworthy AI Inference Systems: An Industry Research View. CoRR (2020)
Mohsen Imani, Saikishan Pampana, Saransh Gupta, Minxuan Zhou, Yeseong Kim, Tajana Rosing
DUAL: Acceleration of Clustering Algorithms using Digital-based Processing In-Memory. MICRO (2020)
Hamid Nejatollahi, Saransh Gupta, Mohsen Imani, Tajana Simunic Rosing, Rosario Cammarota, Nikil D. Dutt
CryptoPIM: In-memory Acceleration for Lattice-based Cryptographic Hardware. IACR Cryptol. ePrint Arch. 2020 (2020)
Mohsen Imani, Mohammad Samragh Razlighi, Yeseong Kim, Saransh Gupta, Farinaz Koushanfar, Tajana Rosing
Deep Learning Acceleration with Neuron-to-Memory Transformation. HPCA (2020)
Justin Morris, Yilun Hao, Saransh Gupta, Ranganathan Ramkumar, Jeffrey Yu, Mohsen Imani, Baris Aksanli, Tajana Rosing
Multi-label HD Classification in 3D Flash. VLSI-SOC (2020)
Saransh Gupta, Justin Morris, Mohsen Imani, Ranganathan Ramkumar, Jeffrey Yu, Aniket Tiwari, Baris Aksanli, Tajana Simunic Rosing
THRIFTY: Training with Hyperdimensional Computing across Flash Hierarchy. ICCAD (2020)
Saransh Gupta, Mohsen Imani, Joonseop Sim, Andrew Huang, Fan Wu, M. Hassan Najafi, Tajana Rosing
SCRIMP: A General Stochastic Computing Architecture using ReRAM in-Memory Processing. DATE (2020)
Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing
Deep Learning Acceleration using Digital-Based Processing In-Memory. SoCC (2020)
Saransh Gupta, Mohsen Imani, Tajana Rosing
Exploring Processing In-Memory for Different Technologies. ACM Great Lakes Symposium on VLSI (2019)
Mohsen Imani, Sahand Salamat, Saransh Gupta, Jiani Huang, Tajana Rosing
FACH: FPGA-based acceleration of hyperdimensional computing by reducing computational complexity. ASP-DAC (2019)
Joonseop Sim, Saransh Gupta, Mohsen Imani, Yeseong Kim, Tajana Rosing
UPIM: Unipolar Switching Logic for High Density Processing-in-Memory Applications. ACM Great Lakes Symposium on VLSI (2019)
Mohsen Imani, Saransh Gupta, Sahil Sharma, Tajana Simunic Rosing
NVQuery: Efficient Query Processing in Nonvolatile Memory. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38 (4) (2019)
Minxuan Zhou, Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing
GRAM: graph processing in a ReRAM-based computational memory. ASP-DAC (2019)
Mohsen Imani, Saransh Gupta, Tajana Rosing
Digital-based processing in-memory: a highly-parallel accelerator for data intensive applications. MEMSYS (2019)
Saransh Gupta, Mohsen Imani, Behnam Khaleghi, Venkatesh Kumar, Tajana Rosing
RAPID: A ReRAM Processing in-Memory Architecture for DNA Sequence Alignment. ISLPED (2019)
Joonseop Sim, Minsu Kim, Yeseong Kim, Saransh Gupta, Behnam Khaleghi, Tajana Rosing
MAPIM: Mat Parallelism for High Performance Processing in Non-volatile Memory Architecture. ISQED (2019)
Mohsen Imani, Ricardo Garcia, Saransh Gupta, Tajana Rosing
Hardware-Software Co-design to Accelerate Neural Network Applications. ACM J. Emerg. Technol. Comput. Syst. 15 (2) (2019)
Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing
FloatPIM: in-memory acceleration of deep neural network training with high precision. ISCA (2019)
Saransh Gupta, Mohsen Imani, Harveen Kaur, Tajana Simunic Rosing
NNPIM: A Processing In-Memory Architecture for Neural Network Acceleration. IEEE Trans. Computers 68 (9) (2019)
Minxuan Zhou, Mohsen Imani, Saransh Gupta, Tajana Rosing
Thermal-Aware Design and Management for Search-based In-Memory Acceleration. DAC (2019)
Mohsen Imani, Saransh Gupta, Yeseong Kim, Minxuan Zhou, Tajana Rosing
DigitalPIM: Digital-based Processing In-Memory for Big Data Acceleration. ACM Great Lakes Symposium on VLSI (2019)
Mohsen Imani, Yeseong Kim, Thomas Worley, Saransh Gupta, Tajana Rosing
HDCluster: An Accurate Clustering Using Brain-Inspired High-Dimensional Computing. DATE (2019)
Saransh Gupta, Mohsen Imani, Tajana Rosing
FELIX: fast and energy-efficient logic in memory. ICCAD (2018)
Mohsen Imani, Saransh Gupta, Tajana Rosing
GenPIM: Generalized processing in-memory to accelerate data intensive applications. DATE (2018)
Mohsen Imani, Ricardo Garcia, Saransh Gupta, Tajana Rosing
RMAC: Runtime Configurable Floating Point Multiplier for Approximate Computing. ISLPED (2018)
Mohsen Imani, Mohammad Samragh, Yeseong Kim, Saransh Gupta, Farinaz Koushanfar, Tajana Rosing
RAPIDNN: In-Memory Deep Neural Network Acceleration Framework. CoRR (2018)
Minxuan Zhou, Mohsen Imani, Saransh Gupta, Tajana Rosing
GAS: A Heterogeneous Memory Architecture for Graph Processing. ISLPED (2018)
Sahand Salamat, Mohsen Imani, Saransh Gupta, Tajana Rosing
RNSnet: In-Memory Neural Network Acceleration Using Residue Number System. ICRC (2018)
Mohsen Imani, Saransh Gupta, Tajana Rosing
Ultra-Efficient Processing In-Memory for Data Intensive Applications. DAC (2017)
Mohsen Imani, Saransh Gupta, Atl Arredondo, Tajana Rosing
Efficient query processing in crossbar memory. ISLPED (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Saransh Gupta