Adaptive Software Cache Management for Distributed Shared Memory Architectures

本工作的目标是开发自适应软件缓存 一种管理技术，允许为共享而编写的程序 存储器多处理器，以有效地执行分布式 记忆机器 这些技术将促进一个系统， 克服了共享存储器机器的体系结构限制， 同时保持它们在编程容易性方面的优点。 从共享内存编程模型到 分布式内存硬件由运行时软件完成， 由用户或编译器提供的提示。 运行时系统 实现了一种自适应缓存一致性机制， 关于预期的或观察到的访问行为的语义信息 特定的数据对象。 对自适应的初步测量 缓存优于静态缓存一致性机制， 在实施一致性时，只提取有限的费用 软件 这些实验将扩大到包括广泛的范围 的程序。

The objective of this work is to develop adaptive software cache management techniques that will allow programs written for shared memory multiprocessors to be executed efficiently on distributed memory machines. These techniques will facilitate a system that overcomes the architectural limitations of shared memory machines, while maintaining their advantages in terms of ease of programming. Translation from the shared memory programming model to the distributed memory hardware is done by runtime software, with the aid of hints provided by the user or by the compiler. The runtime system implements an adaptive cache coherence mechanism that exploits semantic information about the expected or observed access behavior of particular data objects. Preliminary measurements on a adaptive caching outperforms static cache coherence mechanisms, while extracting only limited cost when coherence is implemented in software. These experiments will be extended to include a broad range of programs.