EAGER: PXFS - A Persistent Storage Model for Extreme Scale

EAGER：PXFS - 超大规模的持久存储模型

• 批准号: 1142905
• 负责人: Walter Ligon
• 金额: $ 29.98万
• 依托单位: Clemson University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-08-01 至 2014-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1142905&HistoricalAwards=false
• 关键词: EAGER; PXFS; Persistent; Storage; Model

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.

Exascale计算的挑战表明，在建立新的质量存储框架时，需要一种新的计算模型。当前正在开发的这种模型是伴形模型。拼图通过删除大多数（如果不是全部）全球同步，并为管理维持环境的当地依赖性提供了自然手段来解决Exascale并行性。我们以类似的方式提议开发一种并行存储模型，该模型在没有全局同步的情况下实现了thedesired语义。同时，该模型将采用反映这种方法的新程序器界面。 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.拟议项目的目标是完整地描述PXFS模型，开发与Parallex的HPXimpleptions集成的初始参考实现，并通过参考实现评估模型。