异构计算机之间的对象和本机代码线程移动性

B. Steensgaard, E. Jul
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引用次数: 95

摘要

我们提出了一种在本地代码级别的异构计算机之间移动对象和线程的技术。启用运行本机代码的线程的可移动性。我们在依赖于机器和独立于机器的格式之间转换线程状态。我们引入了公共汽车站的概念,它是由程序计数器值表示的程序点的与机器无关的表示。公交车站的概念也可以用于其他目的。例如,帮助检查和调试优化的代码,垃圾收集等。我们还讨论了执行不同优化代码的处理器之间的线程迁移技术。我们通过在异构计算机之间提供对象和线程移动的原型实现来证明我们想法的可行性。原型采用Emerald分布式编程语言,无需修改;我们仅仅扩展了Emerald运行时系统和Emerald编译器的代码生成器。我们的扩展允许对象和线程在VAX, Sun-3, HP9000/300和Sun SPARC工作站之间移动。原始同质Emerald的优异节点内性能被保留了下来:迁移后的线程在迁移前后都以本机代码速度运行;与同级的Emerald相同的速度,并且接近C代码的性能。我们的移动性实现还没有优化:线程移动性和跨架构调用比同构实现要多花大约60%的时间。我们相信这是第一个在异构计算机中实现完全对象和线程可移动性的实现,其中线程执行本机代码。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Object and native code thread mobility among heterogeneous computers
We present a technique for moving objects and threads among heterogeneous computers at the native code level. To enable mobility of threads running native code. we convert thread states among machine-dependent and machine-independent formats. We introduce the concept of bus stops, which are machine-independent representations of program points as represented by program counter values. The concept of bus stops can be used also for other purposes. e.g. to aid inspecting and debugging optimized code, garbage collection etc. We also discuss techniques for thread mobility among processors executing differently optimized codes. We demonstrate the viability of our ideas by providing a prototype implementation of object and thread mobility among heterogeneous computers. The prototype uses the Emerald distributed programming language without modification ; we have merely extended the Emerald runtime system and the code generator of the Emerald compiler. Our extensions allow object and thread mobility among VAX, Sun-3, HP9000/300, and Sun SPARC workstations. The excellent intra-node performance of the original homogeneous Emerald is retained : migrated threads run at native code speed before and after migration ; the same speed as on homogeneous Emerald and close to C code performance. Our implementation of mobility has not been optimized : thread mobility and trans-architecture invocations take about 60% longer than in the homogeneous implementation. We believe this is the first implementation of full object and thread mobility among heterogeneous computers with threads executing native code.
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