Name
Affiliation
Papers
SARANSH GUPTA
CSE Department, UC San Diego, La Jolla, CA, USA
29
Collaborators
Citations 
PageRank 
40
101
11.58
Referers 
Referees 
References 
300
603
233
Search Limit
100603
Title
Citations
PageRank
Year
Invited: Accelerating Fully Homomorphic Encryption with Processing in Memory00.342021
DP-Sim: A Full-stack Simulation Infrastructure for Digital Processing In-Memory Architectures20.372021
Massively Parallel Big Data Classification on a Programmable Processing In-Memory Architecture00.342021
Cryptopim: In-Memory Acceleration For Lattice-Based Cryptographic Hardware00.342020
Deep Learning Acceleration using Digital-Based Processing In-Memory00.342020
Implementing binary neural networks in memory with approximate accumulation00.342020
THRIFTY: training with hyperdimensional computing across flash hierarchy20.372020
Multi-label HD Classification in 3D Flash00.342020
Deep Learning Acceleration with Neuron-to-Memory Transformation10.342020
DUAL: Acceleration of Clustering Algorithms using Digital-based Processing In-Memory40.382020
SearcHD: A Memory-Centric Hyperdimensional Computing With Stochastic Training30.382020
Hdcluster: An Accurate Clustering Using Brain-Inspired High-Dimensional Computing00.342019
GRAM - graph processing in a ReRAM-based computational memory.90.492019
NVQuery: Efficient Query Processing in Non-Volatile Memory20.382019
DigitalPIM: Digital-based Processing In-Memory for Big Data Acceleration30.372019
Hardware-Software Co-design to Accelerate Neural Network Applications.00.342019
RAPID: A ReRAM Processing in-Memory Architecture for DNA Sequence Alignment60.422019
Thermal-Aware Design and Management for Search-based In-Memory Acceleration00.342019
Digital-based processing in-memory: a highly-parallel accelerator for data intensive applications00.342019
Exploring Processing In-Memory for Different Technologies00.342019
MAPIM: Mat Parallelism for High Performance Processing in Non-volatile Memory Architecture00.342019
NNPIM: A Processing In-Memory Architecture for Neural Network Acceleration80.502019
FloatPIM: in-memory acceleration of deep neural network training with high precision320.922019
FACH - FPGA-based acceleration of hyperdimensional computing by reducing computational complexity.60.492019
UPIM: Unipolar Switching Logic for High Density Processing-in-Memory Applications10.362019
FELIX: Fast and Energy-Efficient Logic in Memory100.542018
Genpim: Generalized Processing In-Memory To Accelerate Data Intensive Applications10.362018
RAPIDNN: In-Memory Deep Neural Network Acceleration Framework.00.342018
Ultra-Efficient Processing In-Memory for Data Intensive Applications.110.522017