SHF: Medium: Heterogeneous Virtual Machine: Future Execution Environments for Heterogeneous Many-core Architectures

SHF：中：异构虚拟机：异构众核架构的未来执行环境

• 批准号: 0905459
• 负责人: Karsten Schwan
• 金额: $ 109.01万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0905459&HistoricalAwards=false
• 关键词: SHF; Medium; Heterogeneous; Virtual; Machine

A current industry trend aimed at addressing platform performance/power requirements is to create heterogeneous manycore systems, comprised of general purpose and specialized cores designed to accelerate certain application or system functions. A second trend, designed to make it easier to map a wide variety of functions and components to manycore platforms, is platform-level support for system virtualization. This research innovates, implements, and evaluates new virtualization technologies for heterogeneous manycore architectures composed of commodity general-purpose and accelerator cores. The goal is to realize an efficient execution environment for composing and executing a range of computationally and data-intensive applications.The system abstractions innovated include (i) the HVM (heterogeneous virtual machine) platform abstraction for dynamic composition of resources (e.g., cores, accelerators, memory, I/O) (ii) new methods for managing heterogeneous manycore resources, including power, and (iii) specialized execution environments for optimizing accelerator interactions. These components are implicitly integrated through an execution model wherein the same abstractions and mechanisms are used to dynamically manage diverse accelerator platforms, thereby realizing our vision of freely shared and customized platform resources provided to applications.

当前旨在满足平台性能/功耗要求的行业趋势是创建异构众核系统，该系统由通用和专用内核组成，旨在加速某些应用程序或系统功能。第二个趋势是对系统虚拟化的平台级支持，旨在更轻松地将各种功能和组件映射到众核平台。这项研究针对由商品通用和加速器核心组成的异构众核架构创新、实施和评估了新的虚拟化技术。目标是实现一个高效的执行环境，用于组合和执行一系列计算和数据密集型应用程序。创新的系统抽象包括（i）用于动态组合资源（例如，核心、加速器、内存、I/O）（ii）管理异构众核资源（包括电源）的新方法，以及（iii）用于优化加速器交互的专用执行环境。这些组件通过执行模型隐式集成，其中相同的抽象和机制用于动态管理不同的加速器平台，从而实现我们为应用程序提供自由共享和定制的平台资源的愿景。