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Getting Rid of Coherency Overhead for Memory-Hungry Applications

机译：摆脱内存饥饿的应用程序的一致性开销

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摘要

Current commercial solutions intended to provide additional resources to an application being executed in a cluster usually aggregate processors and memory from different nodes. In this paper we present a 16-node prototype for a shared-memory cluster architecture that follows a different approach by decoupling the amount of memory available to an application from the processing resources assigned to it. In this way, we provide a new degree of freedom so that the memory granted to a process can be expanded with the memory from other nodes in the cluster without increasing the number of processors used by the program. This feature is especially suitable for memory-hungry applications that demand large amounts of memory but present a parallelization level that prevents them from using more cores than available in a single node. The main advantage of this approach is that an application can use more memory from other nodes without involving the processors, and caches, from those nodes. As a result, using more memory no longer implies increasing the coherence protocol overhead because the number of caches involved in the coherent domain has become independent from the amount of available memory. The prototype we present in this paper leverages this idea by sharing 128GB of memory among the cluster. Real executions show the feasibility of our prototype and its scalability.
机译：目前的商业解决方案旨在为在群集中执行的应用程序提供额外的资源，通常会聚合来自不同节点的处理器和内存。在本文中，我们通过将应用程序分配给它的处理资源解耦，为共享存储器集群架构提供了一个16节点原型。通过这种方式，我们提供了新的自由度，使得授予进程的内存可以通过集群中的其他节点的存储器扩展，而不会增加程序使用的处理器数量。此功能特别适用于需求大量存储器的内存饥饿的应用程序，但呈现了防止它们的并行化级别，该应用程序可防止它们在单个节点中使用的更多核心。这种方法的主要优点是应用程序可以使用来自其他节点的更多内存而不涉及处理器和缓存来自这些节点。结果，使用更多内存不再意味着增加一致性协议开销，因为相干域所涉及的缓存数已独立于可用内存量。我们在本文中的原型通过在群集中共享128GB内存来利用此想法。实际执行显示我们的原型和可扩展性的可行性。

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