Refinement and reuse of TLM 2.0 models: The key for ESL success

Víctor Reyes
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引用次数: 1

Abstract

ESL design methods and tools are being proposed to improve the productivity of the designers and to bridge the design and verification gaps. The main area where ESL solutions are being successfully applied on current desire flows is Virtual Prototyping. The success of these methods relies on the rapidly adoption from Semiconductor industry and EDA vendors of standards such as SystemC and TLM 2.0. Ideally. TLM models must be accurate enough, fast enough and easy to create in order to fit all Virtual Prototype use-cases. However reality shows that different requirements are achieved only by using different type of models (the right model for the right use-case). This is because TLM modeling is a multidimensional problem where the different dimensions (speed, timing accuracy and modeling effort) are orthogonal with each other. Having to create and maintain a separated model for each use-case is drastically reducing the benefits of VP technology, due to elevated cost of creating and maintaining the models consistent with each other. Therefore, model reuse and refinement is a must for the suceess of ESL technology. This paper describes modeling concepts that can be used to create speed optimal models with low effort, which can be gradually refined with more timing accuracy and therefore reused for different VP use-cases.
TLM 2.0模型的细化和重用:ESL成功的关键
ESL的设计方法和工具被提出来提高设计师的生产力,并弥合设计和验证的差距。ESL解决方案成功应用于当前需求流的主要领域是虚拟原型。这些方法的成功依赖于半导体行业和EDA供应商对SystemC和TLM 2.0等标准的快速采用。在理想的情况下。TLM模型必须足够准确、足够快速和易于创建,以适应所有虚拟原型用例。然而,现实表明,不同的需求只能通过使用不同类型的模型(为正确的用例使用正确的模型)来实现。这是因为TLM建模是一个多维问题,其中不同的维度(速度、计时精度和建模努力)彼此正交。必须为每个用例创建和维护一个分离的模型,这极大地降低了VP技术的好处,因为创建和维护彼此一致的模型的成本增加了。因此,模型重用和细化是ESL技术成功的必要条件。本文描述了一些建模概念,这些概念可以用于低成本地创建速度最优模型,这些模型可以逐渐细化,具有更高的定时精度,因此可以重用于不同的VP用例。
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