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

当前的行业趋势旨在解决平台性能/功率需求是创建异构多核系统，由通用和专用核心组成，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，旨在使将各种功能和组件映射到多个核心平台变得更加容易。本研究创新、实现和评估了由商品通用核心和加速器核心组成的异构多核架构的新虚拟化技术。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密集型和数据密集型应用程序。创新的系统抽象包括(i) HVM（异构虚拟机）平台抽象，用于资源的动态组合（例如，内核、加速器、内存、i /O）； （ii）管理异构多核资源（包括电源）的新方法；（iii）优化加速器交互的专门执行环境。这些组件通过执行模型隐式集成，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，从而实现向应用程序提供自由共享和自定义平台资源的愿景。

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.