Achieving software-equivalent accuracy for hyperdimensional computing with ferroelectric-based in-memory computing.

ABSTRACT: Hyperdimensional computing (HDC) is a brain-inspired computational framework that relies on long hypervectors (HVs) for learning. In HDC, computational operations consist of simple manipulations of hypervectors and can be incredibly memory-intensive. In-memory computing (IMC) can greatly improve the efficiency of HDC by reducing data movement in the system. Most existing IMC implementations of HDC are limited to binary precision which inhibits the ability to match software-equivalent accuracies. Moreover, memory arrays used in IMC are restricted in size and cannot immediately support the direct associative search of large binary HVs (a ubiquitous operation, often over 10,000+ dimensions) required to achieve acceptable accuracies. We present a multi-bit IMC system for HDC using ferroelectri

SUBMITTER: Kazemi A 

PROVIDER: S-EPMC9649759 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature