Thalia升级使用增强的ML算法的模拟IP工具
威尔士的Thalia Design Automation通过新的机器学习算法增强了其模拟IP工具。
Thalia Design启用器中改进的ML算法有助于模拟设计师平衡电路和布局要求，并考虑布局变化的影响。This helps simplify the migration of analog IP to new process technology nodes by preserving, improving and validating the topology and the floorplan.
设计启用器是强大的Amalia IP重用平台的一部分，该平台可以重复使用模拟和混合信号集成电路。通过快速确定调整设计所需的最小设备集，可以减少布局所需的更改数量，同时改善性能。增强的ML算法可以节省多达50％的时间和资源。
Thalia现在已经在其所有Amalia平台中部署了机器学习（ML），以分析波形，并根据差分分析为设计人员提供理想的解决方案。
“Customers using Design Enabler tell us they’re saving at least half of their original re-design time, and with the enhancements we’re announcing today, we expect our customers to see immediate benefits both in optimizing the performance of their design and quickly and easily being able to balance this against the best layout to suite their design,” said Christopher Yates, VP Software Engineering at Thalia.
