Facilitating reuse in hardware models with enhanced type inference

Manish Vachharajani, Neil Vachharajani, S. Malik, David I. August
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Abstract

High-level hardware modeling is an essential, yet time-consuming, part of system design. However, effective component-based reuse in hardware modeling languages can reduce model construction time and enable the exploration of more design alternatives, leading to better designs. While component overloading and parametric polymorphism are critical for effective component-base reuse, no existing modeling language supports both. The lack of these features creates overhead for designers that discourages reuse, negating any benefits of reuse. This work presents a type system which supports both component overloading and parametric polymorphism. It proves that performing type inference for any such system is NP-complete and presents a heuristic that works efficiently in practice. The result is a type system and type inference algorithm that can encourage reuse, reduce design specification time, and lead to better designs.
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通过增强的类型推断促进硬件模型中的重用
高级硬件建模是系统设计的一个必要但耗时的部分。然而,在硬件建模语言中有效的基于组件的重用可以减少模型构建时间,并允许探索更多的设计备选方案,从而实现更好的设计。虽然组件重载和参数多态性对于有效的组件基重用至关重要,但没有现有的建模语言同时支持这两种语言。缺少这些特性会给设计人员带来开销,从而阻碍重用,从而抵消重用的任何好处。本文提出了一个既支持组件重载又支持参数多态的类型系统。证明了对任何这样的系统进行类型推理都是np完全的,并给出了一个在实践中有效的启发式方法。其结果是一个类型系统和类型推断算法,可以鼓励重用,减少设计规范时间,并导致更好的设计。
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