教程T7B:最优地解决有效函数收敛的验证约束复杂性

S. Hemmady
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摘要

随着SoC设计变得越来越大,越来越复杂,验证工程师正在扩展约束随机测试以满足验证需求。这种扩展产生了一系列新的挑战:工程师现在面临着指数级增长的验证性能和容量问题。仅仅编写用于验证设计的约束已经不够了。今天,如果工程师希望成功地验证他们的设计并满足他们的最后期限,他们还必须优化他们为性能编写的约束。在本教程中,我们将讨论用于编写约束和优化性能的可伸缩方法,这将提高工程师的工作效率,从而编写和调试数量不断增加的更大、更复杂的约束集。我们的目标是减少功能融合所需的时间,以及以后调试和批量生产所需的时间。我们还将讨论验证IP提供者和用户在此场景中的重要作用。
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Tutorial T7B: Optimally Addressing Verification Constraint Complexity for Effective Functional Convergence
As SoC design becomes larger and more complex, verification engineers are expanding constrained-random testing to meet the validation demand. This expansion creates a new set of challenges: engineers now face exponentially growing verification performance and capacity issues. It is no longer enough to write constraints that simply function to validate a design. Today, engineers must also optimize the constraints they write for performance if they wish to have any hope of both successfully validating their design and meeting their deadlines. In this tutorial, we discuss a scalable methodology for writing constraints and optimizing performance is which will improve engineers' productivity to write and debug ever-increasing amounts of larger, more complex sets of constraints. Our goal is to reduce the time needed for functional convergence, and later for debug and volume manufacturing. We will also discuss the vital role of Verification IP providers and users in this scenario.
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