Abstract: Computing-In-Memory (CIM) is widely applied in neural networks due to its unique capability to perform multiply-and-accumulate operations within a circuit array. This process directly ...

The new major version with a new JIT compiler, a revised parallelization API, and a maturing type system paves the way for ...

Abstract: This paper presents the implementation and performance analysis of five digital parallel array multipliers: Conventional Array Multiplier, Modified Braun’s Multiplier, Vedic Multiplier, ...

Designers are utilizing an array of programmable or configurable ICs to keep pace with rapidly changing technology and AI.