为解决传统优化方法中预测与决策目标不匹配的问题，Wang等研究人员系统综述了Sequential Optimization(SO)、End-to-End Learning(E2E)和Direct Learning(DL)三种数据驱动优化框架。研究揭示了E2E通过决策损失反向传播显著提升决策精度，DL在复杂场景中实现无显式优化的自适应 ...

Dealing with power is a multifaceted challenge and is an equal-opportunity problem — everybody can contribute to the solution and at many levels of abstraction. At the architectural or system level, ...

All power optimization tools can perform combinational optimization, where there is an opportunity to gate a register clock input, based on the combinational logic that is feeding the register’s data ...