HAQu:在芯片多处理器上为细粒度线程进行的硬件加速排队

Sanghoon Lee, Devesh Tiwari, Yan Solihin, James Tuck
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引用次数: 30

摘要

队列通常用于多线程程序中的同步和通信。但是,由于软件队列的开销太大,无法支持细粒度的并行性,因此建议使用硬件队列来减少内核之间的通信开销。硬件队列需要修改处理器核心并需要自定义互连。它们也给操作系统带来了困难,因为它们的状态必须跨上下文切换保持。为了解决这些问题,我们提出了一个硬件加速队列(HAQu)。HAQu将硬件添加到CMP中,以加速对软件队列的操作。我们的设计通过应用程序的地址空间实现快速排队,其操作与完全软件队列兼容。我们的设计在三个方面提供了加速和操作系统透明的性能:(1)它为排队和退队列提供了一条指令,这大大减少了在细粒度线程中使用时的开销;(2)队列上的操作被设计为利用一致性协议的底层细节;(3)硬件确保队列的全部状态存储在应用程序的地址空间中,从而确保虚拟化。我们已经在应用程序领域的上下文中评估了我们的设计:卸载细粒度检查以提高软件可靠性,以及使用解耦的软件流水线实现自动的细粒度并行化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
HAQu: Hardware-accelerated queueing for fine-grained threading on a chip multiprocessor
Queues are commonly used in multithreaded programs for synchronization and communication. However, because software queues tend to be too expensive to support finegrained parallelism, hardware queues have been proposed to reduce overhead of communication between cores. Hardware queues require modifications to the processor core and need a custom interconnect. They also pose difficulties for the operating system because their state must be preserved across context switches. To solve these problems, we propose a hardware-accelerated queue, or HAQu. HAQu adds hardware to a CMP that accelerates operations on software queues. Our design implements fast queueing through an application's address space with operations that are compatible with a fully software queue. Our design provides accelerated and OS-transparent performance in three general ways: (1) it provides a single instruction for enqueueing and dequeueing which significantly reduces the overhead when used in fine-grained threading; (2) operations on the queue are designed to leverage low-level details of the coherence protocol; and (3) hardware ensures that the full state of the queue is stored in the application's address space, thereby ensuring virtualization. We have evaluated our design in the context of application domains: offloading fine-grained checks for improved software reliability, and automatic, fine-grained parallelization using decoupled software pipelining.
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