11 citations · 18 across the 8 of their papers we have counts for
10 papers
WoLFRaM: Enhancing Wear-Leveling and Fault Tolerance in Resistive Memories using Programmable Address Decoders
Leonid Yavits, Lois Orosa, Suyash Mahar +4
Resistive memories have limited lifetime caused by limited write endurance and highly non-uniform write access patterns. Two main techniques to mitigate endurance-related memory fa…
BioSEAL: In-Memory Biological Sequence Alignment Accelerator for Large-Scale Genomic Data
Roman Kaplan, Leonid Yavits, Ran Ginosar
Genome sequences contain hundreds of millions of DNA base pairs. Finding the degree of similarity between two genomes requires executing a compute-intensive dynamic programming alg…
AIDA: Associative DNN Inference Accelerator
Leonid Yavits, Roman Kaplan, Ran Ginosar
We propose AIDA, an inference engine for accelerating fully-connected (FC) layers of Deep Neural Network (DNN). AIDA is an associative in-memory processor, where the bulk of data n…
RASSA: Resistive Pre-Alignment Accelerator for Approximate DNA Long Read Mapping
Roman Kaplan, Leonid Yavits, Ran Ginosar
DNA read mapping is a computationally expensive bioinformatics task, required for genome assembly and consensus polishing. It requires to find the best-fitting location for each DN…
PRINS: Resistive CAM Processing in Storage
Leonid Yavits, Roman Kaplan, Ran Ginosar
Near-data in-storage processing research has been gaining momentum in recent years. Typical processing-in-storage architecture places a single or several processing cores inside th…
Sparse Matrix Multiplication on CAM Based Accelerator
Leonid Yavits, Ran Ginosar
Sparse matrix multiplication is an important component of linear algebra computations. In this paper, an architecture based on Content Addressable Memory (CAM) and Resistive Conten…