9 citations · 9 across the 6 of their papers we have counts for
6 papers
Towards Enabling Distance-Based Memory Addressing
Ananth Krishna Prasad, Rajeev Balasubramonian, Sharad Bhat +1
Approximate Nearest-Neighbor Search (ANNS) in high dimensional vector datasets is an application of significant prevalence across different AI applications. However, such an operat…
XCRYPT: Accelerating Lattice Based Cryptography with Memristor Crossbar Arrays
Sarabjeet Singh, Xiong Fan, Ananth Krishna Prasad +5
This paper makes a case for accelerating lattice-based post quantum cryptography (PQC) with memristor based crossbars, and shows that these inherently error-tolerant algorithms are…
Compressed Geometric Arrays for Point Cloud Processing
Hoda Roodaki, Mahdi Nazm Bojnordi
The ever-increasing demand for 3D modeling in the emerging immersive applications has made point clouds an essential class of data for 3D image and video processing. Tree based str…
Monarch: A Durable Polymorphic Memory For Data Intensive Applications
Ananth Krishna Prasad, Mahdi Nazm Bojnordi
3D die stacking has often been proposed to build large-scale DRAM-based caches. Unfortunately, the power and performance overheads of DRAM limit the efficiency of high-bandwidth me…
FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator
Geng Yuan, Payman Behnam, Zhengang Li +8
Recent works demonstrated the promise of using resistive random access memory (ReRAM) as an emerging technology to perform inherently parallel analog domain in-situ matrix-vector m…
Soft Realization: a Bio-inspired Implementation Paradigm
Hamid Reza Mahdiani, Mahdi Nazm Bojnordi, Sied Mehdi Fakhraie
Researchers traditionally solve the computational problems through rigorous and deterministic algorithms called as Hard Computing. These precise algorithms have widely been realize…