EAGER: PXFS - A Persistent Storage Model for Extreme Scale

Exascale计算的挑战表明，需要一种新的计算模型，在此基础上可以建立一个新的大容量存储框架。目前正在开发的这种模型是ParalleX模型。ParalleX通过删除大多数（如果不是全部）全局同步并为程序提供一种自然的方法来管理本地依赖关系，从而解决了Exascale并行性问题。以类似的方式，我们建议开发一个模型的并行存储，实现所需的语义没有全局同步。同时，该模型将采用反映这种方法的新程序员界面。这种I/O模型被命名为PXFS，并打算与ParalleX计算模型集成，既提供了一个I/O模型ParalleX和被定义的ParalleX。所提出的研究的目标是导出一个新的持久性大容量存储模型，它与活动的内存中的数据和开发PXFS，一个概念验证文件系统，使有效的和可扩展的Exascale计算。拟议项目的目标是完整地描述thePXFS模型，开发一个初始的参考实现与HPX实现的ParalleX集成，并通过参考实现评估模型。

The challenges of Exascale computing suggest that a new model of computation is needed uponwhich a new framework for mass storage may be built. Such a model currently under development is theParalleX model. ParalleX addresses Exascale parallelism by removing most (if not all) globalsynchronization and providing a natural means for programs to manage local dependencies that maintainconsistency. In a similar manner, we propose to develop a model of parallel storage that achieves thedesired semantics without global synchronization. At the same time, the model will adopt a newprogrammer interface that reflects this approach. This I/O model is named PXFS and is intended to beintegrated with the ParalleX model of computation, both by providing an I/O model for ParalleX and bybeing defined in terms of ParalleX.The goals of the proposed research are to derive a new model of persistent mass storage thatunifies it with active in-memory data and develop PXFS, a proof-of-concept file system to enableeffective and scalable Exascale computing. The objectives of the proposed project are to describe thePXFS model in complete terms, develop an initial reference implementation integrated with the HPXimplementation of ParalleX, and evaluate the model via the reference implementation.