Tools and Techniques for Integrated Power Management of Server Disks

摘要提出了一种在当代超标量处理器环境下统一细粒度控制流和数据流依赖关系的体系结构，在保留超标量处理器高度流线型机制的同时赋予其数据流属性。未来的独立指令被获取、执行并在本地完成，它们的结果被传播并释放相应的资源，它们的累积效应持续存在，而不管之前未解决的分支错误预测。分支错误预测不再序列化执行，将异常和有限资源作为系统中仅剩的序列化约束。在高性能微处理器领域（为超级计算机、个人计算机、笔记本电脑甚至手机提供动力），仍然存在一些顽固的瓶颈，这些瓶颈从根本上限制了性能，使得很难将额外晶体管的潜力转化为有效的性能提升。该项目更广泛的意义在于，它提供了一种方法，旨在克服在扩展微处理器性能方面仍然存在的一个重大挑战。

Control-Flow ProcessorsAbstractAn architecture is presented that unifies fine-grain control-flow and data-flow dependences in the context of contemporary superscalar processors, preserving highly streamlined mechanisms of superscalar processors while endowing them with dataflow properties. Future independent instructions are fetched, executed, and locally finalized, their results propagated and corresponding resources freed, and their cumulative effects sustained regardless of prior unresolved branch mispredictions. Branch mispredictions no longer serialize execution, leaving exceptions and finite resources as the only remaining serializing constraints in the system.In the domain of high-performance microprocessors (which power supercomputers, personal computers, laptops, and even cell phones), there remain a few dogged bottlenecks that fundamentally constrain performance, making it difficult to translate the potential of additional transistors into effective performance gains. The project's broader significance is an approach that aims to overcome one of the remaining grand-challenge problems in scaling microprocessor performance.