# A Resistive CAM Processing-in-Storage Architecture for DNA Sequence Alignment

## TL;DR

This paper proposes a novel resistive CAM-based processing-in-storage architecture for DNA sequence alignment, achieving significantly higher throughput and lower power consumption compared to traditional FPGA, Xeon Phi, and GPU solutions.

## Contribution

It introduces a new ReCAM-based architecture and algorithm for DNA sequence alignment that outperforms existing hardware implementations in speed and power efficiency.

## Key findings

- At least 4.7x higher throughput than FPGA, Xeon Phi, and GPU.
- At least 15x lower power dissipation.
- Massively-parallel compare operation for fixed cycle matching.

## Abstract

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-parallel compare operation finds matching base-pairs in a fixed number of cycles, regardless of sequence length. The ReCAM PRinS S-W algorithm is simulated and compared to FPGA, Xeon Phi and GPU-based implementations, showing at least 4.7x higher throughput and at least 15x lower power dissipation.

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Source: https://tomesphere.com/paper/1701.04723