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

当前旨在满足平台性能/功率需求的行业趋势是创建异类多核系统，该系统由旨在加速某些应用程序或系统功能的通用核心和专用核心组成。第二个趋势是平台级对系统虚拟化的支持，旨在更容易地将各种功能和组件映射到多个核心平台。本研究创新、实施和评估了针对由商用通用核和加速器核组成的异类多核体系结构的新的虚拟化技术。创新的系统抽象包括(I)用于动态组合资源(例如，核、加速器、内存、I/O)的HVM(异类虚拟机)平台抽象；(Ii)用于管理包括电源在内的异类多核资源的新方法；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进行隐式集成，其中使用相同的抽象和机制来动态管理不同的加速器平台，从而实现我们向应用程序提供自由共享和定制的平台资源的愿景。

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.