82 citations · 99 across the 5 of their papers we have counts for
5 papers
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…
A Resistive CAM Processing-in-Storage Architecture for DNA Sequence Alignment
Roman Kaplan, Leonid Yavits, Ran Ginosar +1
A novel processing-in-storage (PRinS) architecture based on Resistive CAM (ReCAM) is described and proposed for Smith-Waterman (S-W) sequence alignment. The ReCAM massively-paralle…