CN109314671A - 加速器资源分配和池化 - Google Patents

加速器资源分配和池化 Download PDF

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Publication number
CN109314671A
CN109314671A CN201780038322.7A CN201780038322A CN109314671A CN 109314671 A CN109314671 A CN 109314671A CN 201780038322 A CN201780038322 A CN 201780038322A CN 109314671 A CN109314671 A CN 109314671A
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China
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resource
physical
virtual
resources
virtual computing
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CN201780038322.7A
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CN109314671B (zh
Inventor
M·J·库马尔
M·K·纳奇姆苏
A·戈里乌斯
M·克罗克
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Intel Corp
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Intel Corp
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Abstract

示例可以包括用于从加速器资源池分配物理加速器资源的技术。具体而言，虚拟计算设备可以由物理资源和被动态地分配给虚拟计算设备的物理加速器资源组成。本公开内容提供了物理加速器资源可以被动态地分配或组成到虚拟计算设备，尽管其没有物理地耦合到虚拟设备中的其他组件。

Description

加速器资源分配和池化
相关案件
本申请要求享有以下申请的利益和优先权：于2016年12月30日提交的并且被指派序列号15/396,151的题为“Accelerator Resource Allocation and Pooling”的先前提交的美国专利申请，其要求享有以下申请的优先权：于2016年11月29日提交的并且被指派序列号62/427,268的题为“Framework and Techniques for Pools of ConfigurableComputing Resources”的美国临时专利申请；于2016年8月18日提交的并且被指派序列号62/376,859的题为“Scalable System Framework Prime(SSFP)Omnibus Provisional II”的美国临时专利申请；以及于2016年7月22日提交的并且被指派序列号62/365,969的题为“Framework and Techniques for Pools of Configurable Computing Resources”的美国临时专利申请，以上每个申请都通过引用的方式全部并入本文。
技术领域
概括而言，本文描述的实施例涉及数据中心，并且具体而言涉及数据中心内的池化的加速器资源的分配。
背景技术
网络的进步使得物理资源池能够崛起。可以根据物理基础设施来形成物理资源池，所述物理基础设施包括解聚的物理资源，例如在大型数据中心中找到的计算和存储资源。物理基础设施可以包括具有处理器、存储器、存储装置、网络、电力、冷却等的多个计算系统。这些数据中心的管理实体可以聚合物理资源的选择以形成服务器和/或物理计算主机。随后可以分配这些主机以执行系统SW(例如，OS、VMM等)和主机容器、VM和/或应用。然而，随着数据中心中可配置资源的数量增加，可能难以为特定任务分配和池化物理资源。
附图说明
图1示出了第一示例性数据中心。
图2示出了数据中心的第一示例性机架。
图3示出了第二示例性数据中心。
图4示出了数据中心连接方案。
图5示出了第二示例性机架。
图6示出了第一示例性托架。
图7示出了第三示例性机架。
图8示出了第四示例性机架。
图9示出了第二示例性托架。
图10示出了第三示例性数据中心。
图11A-11C示出了第四示例性数据中心的示例性布置。
图12示出了示例性逻辑流程。
图13示出了存储介质的示例。
图14示出了示例性计算平台。
具体实施方式
数据中心通常可以由大量机架组成，所述机架可以包含许多种类型的硬件或可配置资源(例如，处理单元、存储器、存储装置、加速器、网络、风扇/冷却模块、电力单元等)。在数据中心中部署的硬件或可配置资源的类型也可以被称为物理资源或解聚元素。应当领会，数据中心内的物理资源的大小和数量可以是大的，例如，在数十万物理资源的数量级上。此外，可以池化这些物理资源以形成用于大量和各种计算任务的虚拟计算平台。这些不同任务的资源需求可以不同。如此，虚拟计算平台的组成要求也可以变化。关于这些和/或其他挑战，提供了本文描述的示例。
图1示出了数据中心100的概念性概述，所述数据中心100通常可以表示数据中心或其他类型的计算网络，在其中/针对其可以实现根据各种实施例的本文描述的一种或多种技术。如该图所示，数据中心100通常可以包含多个机架，所述机架中的每一个可以容纳包括相应的物理资源集的计算装备。在图1中描绘的特定非限制性示例中，数据中心100包含四个机架102A至102D，其容纳包括相应的物理资源集(PCR)105A至105D的计算设备。根据该示例，数据中心100的物理资源集合集106包括分布在机架102A至102D之间的各个物理资源集105A至105D。物理资源106可以包括多种类型的资源，例如处理器、协处理器、加速器、现场可编程门阵列(FPGA)、图形处理单元(GPU)、存储器、互连组件和存储装置。实施例不限于这些示例。
说明性数据中心100以许多方式不同于典型的数据中心。例如，在说明性实施例中，其上放置诸如CPU、存储器和其他组件之类的组件的电路板(“托架(sled)”)被设计为用于提高热性能。具体而言，在说明性实施例中，托架比典型的板浅。换言之，托架从前到后(冷却风扇位于其中)的距离较短。这减少了空气必须穿过板上组件的路径长度。此外，托架上的组件与典型的电路板相比间隔得更远，并且组件被布置为减少或消除遮蔽(shadowing)(即，另一组件的空气流动路径中的一个组件)。在说明性实施例中，诸如处理器之类的处理组件位于托架的顶侧上，而近存储器(例如，DIMM)位于托架的底侧上。作为由该设计提供的增强的气流的结果，组件可以以与典型系统中的相比更高的频率和电力水平进行操作，从而提高性能。此外，托架被配置为与每个机架102A、102B、102C、102D中的电力和数据通信电缆盲配对，以增强它们被快速移除、升级、重新安装和/或更换的能力。类似地，位于托架上的个别组件(例如，处理器、加速器、存储器和数据存储驱动器)被配置为由于它们彼此增加的间隔而容易升级。在说明性实施例中，组件另外地包括用于证明其真实性的硬件证明特征。
此外，在说明性实施例中，数据中心100利用支持包括以太网和Omni-Path的多个其他网络架构的单个网络架构(“结构”)。在说明性实施例中，托架经由光纤耦合到交换机，其提供与典型双绞线布线(例如，类别5、类别5e、类别6等)相比更高的带宽和更低的延时。由于高带宽、低延时互连和网络架构，数据中心100可以在使用时池化资源，例如存储器、加速器(例如，图形加速器、FPGA、ASIC等)和被物理解聚的数据存储驱动器，并且根据需要将它们提供给计算资源(例如，处理器)，以使得计算资源能够如同池化资源是本地的一样访问它们。说明性数据中心100另外接收各种资源的使用信息、基于过去的资源使用来预测不同类型的工作负载的资源使用、并且基于该信息来动态地重新分配资源。
数据中心100的机架102A至102D可以包括便于各种类型的维护任务的自动化的物理设计特征。例如，数据中心100可以使用被设计为机器人访问的并且接受和容纳机器人可操纵的资源托架的机架来实现。此外，在一些实施例中，机架102A至102D包括集成电源，其接收与对于电源典型的相比更高的电流。增加的电流使得电源能够将另外的电力提供给每个托架上的组件，以使得组件能够以高于典型频率的频率操作。
在操作期间，物理资源106可以组成虚拟计算平台(例如，参考图11A、图11B和图11C)。更具体地，特定的物理资源类型(例如，计算资源、存储器资源、存储资源、加速器资源等)可以组成(例如，组织成等)虚拟计算平台。此外，可以基于数据中心的各种需要来将物理加速器资源(例如，参考图2等)动态地分配给组合的虚拟计算平台。换言之，可以动态地改变虚拟计算平台的组成，并且具体而言，可以在不同的虚拟计算平台之间动态地移动物理加速器资源。重要的是要注意，可以独立于在数据中心内物理加速器资源所位于和/或耦合的位置来提供物理加速器资源的动态分配。这在以下例如参考图2-9(其描述了数据中心的说明性部分)、图10(其描述了数据中心的说明性管理框架)和图11A、图11B和图11C(其描述了说明性组成的虚拟计算平台)更详细地进行了描述。
图2示出了数据中心100的机架202的示例性逻辑配置。如图2所示，机架202通常可以容纳多个托架，所述托架中的每一个可以包括相应的物理资源集。在该图中描绘的特定非限制性示例中，机架202容纳包括各自的物理资源集205-1至205-4的托架204-1至204-4，其中的每一个托架构成机架202中包括的物理资源集合集206的一部分。关于图1，如果机架202表示例如机架102A，则物理资源206可以与机架102A中包括的物理资源105A相对应。在该示例的上下文中，物理资源105A因此可以由包括在机架202的托架204-1至204-4中的相应的物理资源集205-1至205-4构成。如在该说明性实施例中描绘的，物理资源205-1至205-4包括物理存储资源205-1、物理加速器资源205-2、物理存储器资源205-3和物理计算资源205-4。实施例不限于该示例。每个托架可以包含各种类型的物理资源(例如，计算、存储器、加速器、存储装置)中的每一个的池。通过具有包括解聚的资源的机器人可访问和机器人可操纵的托架，每种类型的资源可以彼此独立地并且以其自己的优化的刷新率来升级。
此外，应当注意，托架204-1至204-4的数量和布置(例如，列、行等)以用于促进理解的数量和布置来描绘。然而，示例不限于这些上下文。
在操作期间，虚拟计算平台(例如，参考图11A、图11B和图11C)可以由物理资源206组成。另外，物理加速器资源205-2可以动态地分配给虚拟计算平台中的不同虚拟计算平台(或由虚拟计算平台中的不同虚拟计算平台组成)。因此，数据中心200可以部署有设定数量的物理加速器资源(例如，物理加速器资源205-2等)，但是组成虚拟计算平台，并且将多个物理加速器资源中的一些动态地分配给虚拟计算平台以提供物理加速器资源的使用和/或利用率的增加。
图3示出了数据中心300的示例，所述数据中心300通常可以表示根据各种实施例可以在其中/针对其实现本文描述的一种或多种技术的数据中心。如该图所示，数据中心300可以以光学结构312为特征。光学结构312通常可以包括光学信令媒体(例如，光学电缆)和光学交换基础设施的组合，经由其数据中心300中的任何特定托架可以将信号发送到数据中心300中的其它托架中的每一个(并且从其接收信号)。光学结构312提供给任何给定托架的信令连接可以包括到相同机架中的其他托架和其他机架中的托架二者的连接。
在这里描绘的特定非限制性示例中，数据中心300包括四个机架302A至302D。机架302A至302D容纳相应的托架对304A-1和304A-2、304B-1和304B-2、304C-1和304C-2以及304D-1和304D-2。因此，在该示例中，数据中心300包括总共八个托架。经由光学结构312，每个这样的托架可以具有与数据中心300中的七个其他托架中的每一个的信令连接。例如，经由光学结构312、机架302A中的托架304A-1可以具有与机架302A中的托架304A-2以及分布在数据中心300的其他机架302B、302C和302D之间的六个其他托架304B-1、304B-2、310C-1、310C-2、340D-1和304D-2的信令连接。
图4示出了连接方案400的概述，所述连接方案400通常可以表示可以在一些实施例中在数据中心(例如，图1和图3中的示例性数据中心100和300中任何一个)的各种托架之间的建立的链路层连接。连接方案400可以使用以双模光学交换基础设施414为特征的光纤结构来实现。双模光学交换基础设施414通常可以包括交换基础设施，其能够根据多个链路层协议经由相同的统一的光学信令介质集来接收通信，并且适当地切换这样的通信。在各种实施例中，可以使用一个或多个双模光学交换机415来实现双模光学交换基础设施414。在各种实施例中，双模光学交换机415通常可以包括高基交换机。在一些实施例中，双模光学交换机415可以包括多层交换机(multi-ply switch)，例如四层交换机。在各种实施例中，双模光学交换机415可以以集成的硅光子器件为特征，与传统的交换设备相比，集成的硅光子器件使得双模光学交换机415能够以显着减少的延时来切换通信。在实施例中，双模交换机可以是单个物理网络线，其可以是能够承载以太网或Onmi-Path通信的，所述单个物理网络线可以由双模光学交换机515自动检测或由Pod管理控制器配置。这允许相同的网络用于云流量(以太网)或高性能计算(HPC)，通常是Onmi-Path或Infiniband。此外，并且在一些实例中，Onmi-Path协议可以承载Onmi-Path通信和以太网通信。在一些实施例中，双模光学交换机415可以构成叶脊架构中的叶交换机430，所述叶脊架构另外包括一个或多个双模光学脊交换机420。注意，在一些实施例中，架构可以不是叶脊架构，而可以是直接连接到托架的双层交换机架构。
在各种实施例中，双模光学交换机可以是能够经由光学结构的光学信令介质接收承载互联网协议(IP分组)的以太网协议通信和根据第二、高性能计算(HPC)链路层协议(例如，Omni-Path架构、Infiniband等)的通信二者。如该图所反映的，关于具有到光学结构的光学信令连接的任何特定的托架对404A和404B，连接方案400因此可以经由以太网链路和HPC链路提供对链路层连接的支持。因此，单个高带宽、低延时交换结构可以支持以太网和HPC通信二者。实施例不限于该示例。
图5示出了机架架构500的总体概述，所述机架架构可以表示本文描绘的机架中的任何特定机架的架构。如该图所反映的，机架结构500通常可以多个托架空间(或托架机架(sled bay))为特征，托架可以插入所述多个托架空间中，托架空间中的每一个可以是可由机器人经由机架访问区域501访问的。在该特定的非限制性的示例中，机架架构500以五个托架空间503-1至503-5为特征。托架空间503-1至503-5以相应的多用途连接器模块(MPCM)516-1至516-5为特征。当托架插入到托架空间503-1至503-5中的任何给定的托架空间中时，对应的MPCM可以与插入的托架的配对MPCM相耦合。该耦合可以为插入的托架提供到容纳其的机架的信令基础设施和电力基础设施的连接。在一些实例中，当托架插入到托架空间503-1至503-5中的任何给定的托架空间中时，对应的MPCM可以与插入的托架的配对MPCM相耦合。该耦合可以为插入的托架提供到容纳其的机架的信令基础设施和电力基础设施的连接。
由机架架构500容纳的托架类型之中包括的可以是以扩展能力为特征的一种或多种类型的托架。图6示出了托架604的示例，所述托架604可以表示这样的类型的托架。如该图所示，托架604可以包括物理资源集605以及MPCM 616，所述MPCM 616被设计为当托架604插入到托架空间(例如，托架空间图5的503-1至503-5中的任何一个)中时与配对的MPCM相耦合。
托架604还可以以扩展连接器617为特征。扩展连接器617通常可以包括插座、插槽或能够接受一种或多种类型的扩展模块的其他类型的连接元件，例如扩展托架618。通过与扩展托架618上的配对连接器耦合，扩展连接器617可以向物理资源605提供对驻留在扩展托架618上的补充计算资源605B的访问。实施例不限于该上下文。在一些示例中，扩展托架618可以包括物理加速器资源(例如，包括FPGA、GPU、存储器、或者FPGA、GPU和存储器的组合)。
图7示出了可以表示机架架构的机架架构700的示例，所述机架架构可以被实现以便提供对以扩展能力为特征的托架(例如，图6的托架604)的支持。在图7中描绘的特定非限制性示例中，机架架构700包括七个托架空间703-1至703-7，其以相应的MPCM 716-1至716-7为特征。托架空间703-1至703-7包括相应的主区域703-1A至703-7A和相应的扩展区域703-1B至703-7B。
关于每个这样的托架空间，当对应的MPCM与插入的托架的配对MPCM相耦合时，主区域通常可以构成托架空间的物理地容适插入的托架的区域。在插入的托架配置有这样的模块的情况下，扩展区域通常可以构成托架空间的可以物理地容适扩展模块(例如，图6的扩展托架618)的区域。
图8示出了根据一些实施例的机架802的示例，所述机架802可以表示根据图7的机架架构700实现的机架。在图8中描绘的特定非限制性示例中，机架802以七个托架空间803-1至803-7为特征，其包括相应的主区域803-1A至803-7A和相应的扩展区域803-1B至803-7B。在各种实施例中，机架802中的温度控制可以使用空气冷却系统来实现。例如，如图8所反映的，机架802可以以多个风扇819为特征，所述风扇819通常被布置为在各个托架空间803-1至803-7内提供空气冷却。在一些实施例中，托架空间的高度大于传统的“1U”服务器高度。在这样的实施例中，与常规机架配置中使用的风扇相比，风扇819通常可以包括相对较慢的大直径冷却风扇。以较低速度运行较大直径的冷却风扇相对于以较高速度运行的较小直径的冷却风扇可以延长风扇的使用寿命，同时提供相同的冷却量。与传统的机架尺寸相比托架在物理上更浅。此外，组件被布置在每个托架上以减少热遮蔽(即，不沿气流方向串行布置)。因此，更宽、更浅的托架允许提高设备性能，这是因为：由于改进的冷却(例如，没有热遮蔽、设备之间更多的空间、用于较大的散热片的更多空间等)，设备可以以更高的热封套(例如，250W)运行。
MPCM 816-1至816-7可以被配置为向插入的托架提供对由相应的电力模块820-1至820-7提供的电力的访问，所述电力模块中的每一个可以从外部电源821汲取电力。在各种实施例中，外部电源821可以将交流(AC)电力递送到机架802，并且电力模块820-1至820-7可以被配置为将这样的AC电力转换为直流(DC)电力以被提供给插入的托架。在一些实施例中，例如，电力模块820-1至820-7可以被配置为将277伏AC电力转换为12伏DC电力，以经由相应的MPCM 816-1至816-7提供给插入的托架。实施例不限于该示例。
MPCM 816-1至816-7还可以被布置为向插入的托架提供到双模光学交换基础设施814的光学信令连接，所述双模光学交换基础设施814可以与图4的双模光学交换基础设施414相同或相似。在各种实施例中，包含在MPCM 816-1至816-7中的光学连接器可以被设计为与包含在插入的托架的MPCM中的配对光学连接器相耦合，以向这样的托架提供经由相应长度的光缆822-1至822-7到双模光学交换基础设施814的光学信令连接。在一些实施例中，光缆的每个这样的长度可以从其对应的MPCM延伸到在机架802的托架空间外部的光学互连隐现器(optical interconnect loom)823。在各种实施例中，光学互连隐现器823可以被布置为穿过支架802的支柱或其他类型的承载元件。因为插入的托架经由MPCM连接到光学交换基础设施，所以可以节省通常用于手动配置机架电缆以容适新插入的托架的资源。
图9示出了根据一些实施例的托架904的示例，所述托架904可以表示被设计为与图8的机架802结合使用的托架。托架904的可以以MPCM 916为特征，所述MPCM 916包括光学连接器916A和电力连接器916B，并且所述MPCM 916被设计为与将MPCM 916插入到该托架空间中相结合地来与托架空间的配对MPCM相耦合。将MPCM 916与这样的配对MPCM相耦合可以使电力连接器916与被包括在配对MPCM中的电力连接器相耦合。这通常可以使得托架904的物理资源905能够经由电力连接器916和将电力连接器916导电地耦合到物理资源905的电力传输介质924从外部源获得电力。
托架904还可以包括双模光学网络接口电路926。双模光学网络接口电路926通常可以包括能够根据由图8的双模光学交换基础设施814支持的多个链路层协议中的每一个来在光学信令介质上进行通信的电路。在一些实施例中，双模光学网络接口电路926可以既能够进行以太网协议通信又能够进行根据第二、高性能协议的通信，所述第二、高性能协议相对于以太网提供显著更大的吞吐量和显著减少的延时。在各种实施例中，双模光学网络接口电路926可以包括一个或多个光学收发器模块927，所述光学收发器模块927中的每一个可以是能够在一个或多个光学通道中的每一个上发送和接收光学信号的。实施例在该上下文中不受限制。
将MPCM 916与给定机架中的托架空间的配对MPCM相耦合可以使光学连接器916A与被包括在配对MPCM中的光学连接器相耦合。这通常可以经由光通道集925中的每一个来建立托架的光缆和双模光学网络接口电路926之间的光连接。双模光学网络接口电路926可以经由电信令介质928与托架904的物理资源905进行通信。除了用于提供改进的冷却并且使得能够以相对较高的热封套(例如，250W)进行操作的托架的尺寸和托架上的组件的布置，如以上参考图8描述的，在一些实施例中，托架还可以包括用于促进空气冷却的一个或多个另外的特征，例如被布置为消散由物理资源905生成的热量的热管和/或散热片。值得注意的是，虽然图9中描绘的示例性托架904没有以扩展连接器为特征，但是根据一些实施例，以托架904的设计元件为特征的任何给定托架也可以以扩展连接器为特征。
图10示出了根据各种实施例的数据中心1000的示例，所述数据中心1000通常可以表示在其中/针对其可以实现本文描述的一种或多种技术的数据中心。如该图所示，可以实现物理基础设施管理框架1050A以促进对数据中心1000的物理基础设施1000A的管理。在各种实施例中，物理基础设施管理框架1050A的一个功能可以是管理数据中心1000内的自动化维护功能，例如使用机器人维护装备来维护物理基础设施1000A内的计算设备。在一些实施例中，物理基础设施1000A可以以执行遥测报告的先进遥测系统为特征，所述先进遥测系统足够鲁棒以支持对物理基础设施1000A的远程自动化管理。在各种实施例中，由这样的先进的遥测系统提供的遥测信息可以支持诸如故障预测/预防能力和容量规划能力之类的特征。在一些实施例中，物理基础设施管理框架1050A还可以被配置为使用硬件证明技术来管理对物理基础设施组件的认证。例如，机器人可以通过分析从与要被安装的每个组件相关联的射频识别(RFID)标签中收集的信息来在安装之前验证组件的真实性。
如所描绘的，数据中心1000的物理基础设施1000A可以包括光学结构1012，其可以包括双模光学交换基础设施1014。光学结构1012和双模光学交换基础设施1014可以分别与图3的光学结构312以及图4的双模光学交换基础设施414相同或相似，并且可以在数据中心1000的托架之间提供高带宽、低延时、多协议的连接。如以上讨论的，参考图1，在各种实施例中，这样的连接的可用性可以使得解聚并动态地池化诸如处理器、加速器、存储器和存储装置之类的资源变得可行。在一些实施例中，例如，数据中心1000的物理基础架构1000A之中可以包括一个或多个池化加速器托架1030，池化加速器托架1030中的每一个可以包括加速器资源池，例如协处理器和/或FPGA，所述加速器资源池例如是可经由光学结构1012和双模式光学交换基础设施1014由其他托架全局访问的。
在另一示例中，在各种实施例中，数据中心1000的物理基础架构1000A之中可以包括一个或多个池化存储器托架1032，所述池化存储器托架1032中的每一个可以包括存储资源池，其是可经由光学结构1012和双模光学交换基础设施1014由其他托架全局访问的。在一些实施例中，这样的池式存储器托架1032可以包括诸如固态驱动器(SSD)之类的固态存储设备池。在各种实施例中，可以在数据中心1000的物理基础设施1000A之中包括一个或多个高性能处理托架1034。在一些实施例中，高性能处理托架1034可以包括高性能处理器池以及可以增强空气冷却以产生高达250W或更高的较高热封套的冷却特征。在各种实施例中，任何给定的高性能处理托架1034可以以扩展连接器1017为特征，所述扩展连接器1017可以接受远存储器扩展托架，以使得对于该高性能处理托架1034本地可用的远存储器与被包括在该托架上的处理器和近存储器解聚。在一些实施例中，这样的高性能处理托架1034可以配置有使用包括低延时SSD存储装置的扩展托架的远存储器。光学基础设施允许一个托架上的计算资源利用在位于数据中心中的相同机架或任何其他机架上的托架上解聚的远程加速器/FPGA、存储器和/或SSD资源。远程资源可以位于以上参考图4描述的脊叶网络架构中的一个交换机跳转或两个交换机跳转处。实施例在该上下文中不受限制。
在各种实施例中，可以将一个或多个抽象层应用于物理基础设施1000A的物理资源，以便定义诸如软件定义的基础设施1000B之类的虚拟基础设施。在一些实施例中，软件定义的基础设施1000B的虚拟计算资源1036可以被分配以支持云服务1040的供应。在各种实施例中，可以将特定虚拟计算资源集1036分组以供应给采用SDI服务1038的形式的云服务1040。云服务1040的示例可以包括但不限于软件即服务(SaaS)服务1042、平台即服务(PaaS)服务1044以及基础设施即服务(IaaS)服务1046。
在一些实施例中，软件定义的基础设施1000B的管理可以使用虚拟基础设施管理框架1050B来进行。在各种实施例中，虚拟基础设施管理框架1050B可以被设计为结合管理虚拟计算资源1036和/或SDI服务1038向云服务1040的分配来实现工作负载指纹识别技术和/或机器学习技术。在一些实施例中，虚拟基础设施管理框架1050B可以结合执行这样的资源分配来使用/查阅遥测数据。在各种实施例中，可以实现应用/服务管理框架1050C以便为云服务1040提供QoS管理能力。
具体而言，虚拟基础设施管理框架1050B可以根据物理基础设施1000A的元件来组成虚拟计算平台(有时被称为虚拟计算设备)。此外，在一些示例的情况下，可以将池化的加速器托架1030中的一些动态地分配给这样的虚拟计算平台，例如，以支持云服务1040中的各种云服务。实施例在该上下文中不受限制。
图11A、图11B和图11C示出了数据中心1100的示例，其中，虚拟计算平台根据数据中心的物理资源组成。通常，虚拟基础设施管理框架1150B(例如，管理程序等)可以组成软件定义的基础设施1100B的虚拟计算平台。例如，软件定义的基础设施1100B包括虚拟计算平台1136-1、虚拟计算平台1136-2和虚拟计算平台1136-3。在该图中描绘的虚拟计算平台1136的数量及其布置是仅出于说明目的而给出的而不是限制性的。如先前描述的，虚拟计算平台1236-1至1236-3根据数据中心1100的物理资源(例如，图2的物理资源206等)组成。例如，虚拟计算平台1136-1被描绘为包括物理计算资源1105-1和物理加速器资源1105-2；虚拟计算平台1136-2被描绘为包括物理计算资源1105-3和物理加速器资源1105-4；并且虚拟计算平台1136-3被描绘为包括物理计算资源1105-6和物理加速器资源1105-6。
注意，出于清楚呈现的目的，未描绘虚拟计算平台1136包括物理存储器资源或物理存储资源。然而，在实践期间，虚拟计算平台1136可以用数据中心的物理资源的任何数量和组合组成。示例在该上下文中不受限制。
在一些示例中，来自特定虚拟计算平台1136的物理加速器资源1105可以经由扩展槽从该特定平台耦合到物理计算资源1105。作为具体示例，物理加速器资源1105-2可以在扩展托架(例如，图6的扩展托架618等)上实现，并且耦合到实现物理计算资源1105-1的托架(例如，图6的托架604)等。
虚拟计算平台可以被配置为实现操作系统的固件，在所述操作系统上可以提供服务(例如，SaaS、PaaS、IaaS等)。如所描绘的，虚拟计算平台1136-1至1136-3分别被描绘为虚拟平台固件1138-1、1138-2和1138-3。虚拟平台固件1138-1至1138-3可以被配置为促进云服务层1140。可以提供云服务层1140以执行各种工作负载(例如，虚拟机、容器等)。例如，描绘了分别在虚拟计算平台1136-1、1136-2和1136-3上实现的工作负载1142-1、1142-2和1142-3。工作负载可以实现操作系统(OS)并且可以执行各种应用。例如，描绘了工作负载1142-1实现OS1144-1并执行应用1146-1和1146-2；描绘了工作负载1142-2实现OS1144-2并执行应用1146-3和1146-4；并且描绘了工作负载1142-3实现OS1144-3并执行应用1146-5和1146-6。
在操作期间，随着每个工作负载的需求改变，可以将物理加速器资源(例如，物理资源1105-2、1105-4和1105-6)动态地分配给特定的虚拟计算平台。例如，工作负载1142-1至1142-3可以具有不同的计算要求、受制于不同的服务级别协议等。所有这些都可以改变数据中心1100的需求和/或要求。
更具体地转到图11B，虚拟基础设施管理框架1150B已经(例如，在运行时期间等)将物理加速器资源1105-4和1105-6动态地分配给虚拟计算平台1136-1。换言之，虚拟基础设施管理框架1150B可以将物理加速器资源1105-4和1105-6分配给虚拟计算平台1136-1。如此，即使物理加速器资源1105-4和1105-6可以耦合(例如，作为扩展托架等)到组成在其他虚拟计算平台中的物理计算资源(例如，物理计算资源1105-3和1105-5等)，也可以将虚拟计算平台1136-1组成为包括物理加速器资源1105-4和1105-6。此外，值得注意的是，可以将物理加速器资源分配给虚拟计算平台，其中，物理加速器资源和物理计算资源在不同的托架上，并且甚至在不同的机架上。例如，物理计算资源1105-1可以在与物理加速器资源中的任何一个(例如，1105-2、1105-4、1105-6)不同的托架上，尽管这样的资源被组合成单个平台。示例在该上下文中不受限制。
更具体地转到图11C，虚拟基础设施管理框架1150B已经(例如，在运行时期间等)将物理加速器资源1105-4和1105-6动态地分配给虚拟计算平台1136-2。换言之，虚拟基础设施管理框架1150B可以将物理加速器资源1105-4和1105-6分配给虚拟计算平台1136-2。如此，即使物理加速器资源1105-6可以耦合(例如，作为扩展托架等)到组成在其他虚拟计算平台中的物理计算资源(例如，物理计算资源1105-5等)，虚拟计算平台1136-1可以被组成以包括物理加速器资源1105-4和1105-6。另外，尽管物理加速器资源1105-4和1105-6可能已被包括、分配和/或用虚拟计算平台1136-1组成，但是它们可以被动态地分配给另一平台，例如，虚拟计算平台1136-2。
在一些示例的情况下，物理加速器资源1105-4和1105-6可以经由光学结构(例如，光学结构312等)耦合到物理计算资源1105-1。因此，虚拟计算平台中的任何一个可以用数据中心1100内的任何数量的物理加速器资源组成和/或被动态地分配数据中心1100内的任何数量的物理加速器资源。
注意，本公开内容提供相对于现有技术中的这样的数据中心的优点，这是因为在数据中心内需要较少的物理加速器资源。更具体而言，虚拟计算平台可以被动态地分配物理加速器资源，而不论加速器资源是否物理地附接和/或耦合到被分配给平台的计算资源。这样的分配可以是动态的，并且在数据中心的运行时间期间发生。换言之，可以将物理加速器资源分配给虚拟计算平台而无需重新组成平台。如此，根据本公开内容实现的数据中心可以被供应少于传统数据中心的总物理加速器资源而提供更高的性能。更具体而言，可以向数据中心(例如，数据中心1100)供应工作负载(例如，工作负载1142-1、1142-2、1142-3等)可能同时需要的多个物理加速器资源。相反，在传统技术的情况下，将需要向数据中心供应每个工作负载将需要的物理加速器资源的总数。
值得注意的是，由于耦合了数据中心的物理资源(例如，物理计算资源和物理加速器资源)的光学结构，本公开内容提供了这样的优点。例如，数据中心的物理资源可以经由光学结构(例如，图3的光学结构312)(并且在一些情况下，经由单个光学交换机)耦合。
本文中包括表示用于执行所公开的架构的新颖方面的示例性方法的逻辑流程。虽然出于简化说明的目的，本文示出的一种或多种方法被示出和描述为一系列动作，但本领域技术人员将理解和领会，这些方法不受动作次序的限制。据此，一些动作可以以与本文示出和描述的其他动作不同的次序发生和/或与本文示出和描述的其他动作同时发生。例如，本领域的技术人员将理解并领会，方法可以替代地被表示为一系列相互关联的(例如，状态图中的)状态或事件。此外，并非方法中示出的所有动作都是新颖实施方式所必需的。
逻辑流程可以用软件、固件和/或硬件来实现。在软件和固件实施例中，逻辑流程可以通过存储在至少一个非暂时性计算机可读介质或机器可读介质(例如，光学、磁性或半导体存储装置)上的计算机可执行指令来实现。实施例在该上下文中不受限制。
图12示出了示例性逻辑流程1200。逻辑流程1200可以表示由本文描述的一个或多个逻辑、特征或设备(例如，装置1050B、1150B等)执行的操作中的一些或全部。更具体而言，逻辑流程1200可以由至少虚拟基础设施管理框架1150B实现，以将加速器资源动态地分配给虚拟计算平台。
逻辑流程1200可以在框1210处开始。在框1210“根据多个物理计算资源和多个物理加速器资源来组成多个虚拟计算资源，多个物理计算资源经由结构耦合到多个物理加速器资源”处，虚拟计算资源可以根据物理计算资源和物理加速器资源组成。例如，虚拟基础设施管理框架可以根据物理资源来组成虚拟计算平台。作为特定示例，虚拟基础设施管理框架1150B可以组成虚拟计算平台1136-1、1136-2和1136-3。每个虚拟计算平台可以根据至少一个物理计算资源和一个物理加速器资源来组成。例如，虚拟计算平台(例如，1136-1、1136-2、1136-3等)可以根据包括物理计算资源(例如，物理资源605可以是计算资源)和物理加速器资源(例如，具有补充物理资源605B的扩展托架618可以是加速器资源)的托架(例如，托架604等)组成。
继续到框1220“将多个物理加速器资源中的至少一个动态地分配给多个虚拟计算资源中的一个”处，可以将物理加速器资源中的一个动态地分配给虚拟计算资源中的一个(例如，与当前分配的虚拟计算资源不同的)。例如，如图11B描绘的，虚拟基础设施管理框架1150B可以将物理加速器资源1105-4和1105-6从虚拟计算平台1136-2和1136-3动态地分配给虚拟计算平台1136-1。
图13示出了存储介质2000的示例。存储介质2000可以包括制品。在一些示例中，存储介质2000可以包括任何非暂时性计算机可读介质或机器可读介质，例如光学、磁性或半导体存储装置。存储介质2000可以存储各种类型的计算机可执行指令，例如用于实现逻辑流程1300的指令。计算机可读或机器可读存储介质的示例可以包括能够存储电子数据的任何有形介质，包括易失性存储器或非易失性存储器、可移除或不可移除存储器、可擦除或不可擦除存储器、可写或可重写存储器等等。计算机可执行指令的示例可以包括任何合适类型的代码，例如源代码、经编译的代码、经解释的代码、可执行代码、静态代码、动态代码、面向对象代码、可视代码等。示例在该上下文中不受限制。
图14示出了示例性计算平台3000。在一些示例中，如该图所示，计算平台3000可以包括处理组件3040、其他平台组件或通信接口3060。根据一些示例，计算平台3000可以在计算设备中实现，所述计算设备例如诸如数据中心或服务器机群之类的系统中的服务器，所述系统支持用于管理如以上提到的可配置计算资源的管理器或控制器。
根据一些示例，处理组件3040可以执行用于装置1132/1134和/或存储介质2000的处理操作或逻辑。处理组件3040可以包括各种硬件元件、软件元素或二者的组合。硬件元件的示例可以包括设备、逻辑设备、组件、处理器、微处理器、电路、处理器电路、电路元件(例如，晶体管、电阻器、电容器、电感器等)、集成电路、专用集成电路(ASIC)、可编程逻辑器件(PLD)、数字信号处理器(DSP)、现场可编程门阵列(FPGA)、存储器单元、逻辑门、寄存器、半导体器件、芯片、微芯片、芯片组等。软件元素的示例可以包括软件组件、程序、应用、计算机程序、应用程序、设备驱动程序、系统程序、软件开发程序、机器程序、操作系统软件、中间件、固件、软件模块、例程、子例程、函数、方法、流程、软件接口、应用程序接口(API)、指令集、计算代码、计算机代码、代码段、计算机代码段、字、值、符号或其任何组合。确定是否使用硬件元件和/或软件元素来实现示例可以根据任何数量的因素而变化，例如期望的计算速率、电力水平、热容差(heat tolerance)、处理循环预算、输入数据速率、输出数据速率、存储器资源、数据总线速度和其他设计或性能约束，如给定示例期望的。
在一些示例中，其他平台组件3050可以包括公共计算元件，例如一个或多个处理器、多核处理器、协处理器、存储器单元、芯片组、控制器、外围设备、接口、振荡器、定时设备、视频卡、音频卡、多媒体输入/输出(I/O)组件(例如，数字显示器)、电源等。存储器单元的示例可以包括但不限于采用一个或多个较高速存储器单元形式的各种类型的计算机可读和机器可读存储介质，例如只读存储器(ROM)、随机存取存储器(RAM)、动态RAM(DRAM)、双倍数据速率DRAM(DDRAM)、同步DRAM(SDRAM)、静态RAM(SRAM)、可编程ROM(PROM)、可擦除可编程ROM(EPROM)、电可擦除可编程ROM(EEPROM)、闪速存储器、聚合物存储器(例如，铁电聚合物存储器)、双向存储器、相变或铁电存储器、硅-氧化物-氮化物-氧化物-硅(SONOS)存储器、磁卡或光卡、设备阵列(例如，独立磁盘冗余阵列(RAID)驱动器)、固态存储器设备(例如，USB存储器)、固态驱动器(SSD)和适于存储信息的任何其他类型的存储介质。
在一些示例中，通信接口3060可以包括支持通信接口的逻辑和/或特征。对于这些示例，通信接口3060可以包括一个或多个通信接口，其根据各种通信协议或标准操作以在直接或网络通信链路上通信。直接通信可以经由使用在一个或多个工业标准(包括后代和变体)中描述的通信协议或标准来发生，所述工业标准例如与PCI Express规范相关联的工业标准。网络通信可以经由使用通信协议或标准发生，所述通信协议或标准例如在由电气和电子工程师协会(IEEE)颁布的一个或多个以太网标准中描述的通信协议或标准。例如，一种这样的以太网标准可以包括于2012年12月发布的IEEE 802.3-2012，即具有冲突检测的载波侦听多路访问(CSMA/CD)访问方法和物理层规范(下文中被称为“IEEE 802.3”)。还可以根据一个或多个OpenFlow规范(例如，OpenFlow硬件抽象API规范)来发生网络通信。还可以根据于2015年3月发布的Infiniband架构规范，第1卷，1.3版(“Infiniband架构规范”)来发生网络通信。
计算平台3000可以是计算设备的一部分，所述计算设备可以是例如服务器、服务器阵列或服务器机群、web服务器、网络服务器、互联网服务器、工作站、小型计算机、大型计算机、超级计算机、网络设备、web设备、分布式计算系统、多处理器系统、基于处理器的系统或其组合。因此，可以在计算平台3000的各种实施例中包括或省略本文描述的计算平台3000的功能和/或特定配置，如合适地期望的。
可以使用分立电路、ASIC、逻辑门和/或单芯片架构的任何组合来实现计算平台3000的组件和特征。此外，在合适地适当的情况下，计算平台3000的特征可以使用微控制器、可编程逻辑阵列和/或微处理器或前述各项的任何组合来实现。注意，硬件、固件和/或软件元素可以在本文中被集合地或个别地称为“逻辑”或“电路”。
应当领会，该图的框图中示出的示例性计算平台3000可以表示许多潜在实施方式的一个功能上描述性的示例。因此，对附图中描绘的块功能的划分、省略或包括不会推断出用于实现这些功能的硬件组件、电路、软件和/或元素将一定在实施例中被划分、省略或包括。
至少一个示例的一个或多个方面可以通过存储在表示处理器内的各种逻辑的至少一个机器可读介质上存储的代表性指令来实现，所述代表性指令在由机器、计算设备或系统读取时使机器、计算设备或系统制造用于执行本文描述的技术的逻辑。这样的表示(被称为“IP核”)可以被存储在有形的、机器可读介质上并且被提供给各种客户或制造设施以加载到实际制造逻辑或处理器的制造机器中。
可以使用硬件元件、软件元素或二者的组合来实现各种示例。在一些示例中，硬件元件可以包括设备、组件、处理器、微处理器、电路、电路元件(例如，晶体管、电阻器、电容器、电感器等等)、集成电路、专用集成电路(ASIC)、可编程逻辑器件(PLD)、数字信号处理器(DSP)、现场可编程门阵列(FPGA)、存储器单元、逻辑门、寄存器、半导体器件、芯片、微芯片、芯片组等等。在一些示例中，软件元素可以包括软件组件、程序、应用、计算机程序、应用程序、系统程序、机器程序、操作系统软件、中间件、固件、软件组件、例程、子例程、函数、方法、流程、软件接口、应用程序接口(API)、指令集、计算代码、计算机代码、代码段、计算机代码段、字、值、符号或其任何组合。确定是否使用硬件元件和/或软件元素来实现示例可以根据任何数量的因素而变化，例如期望的计算速率、电力水平、热容差、处理循环预算、输入数据速率、输出数据速率、存储器资源、数据总线速度和其他设计或性能约束，如给定实施方式期望的。
一些示例可以包括制品或至少一种计算机可读介质。计算机可读介质可以包括用于存储逻辑的非暂时性存储介质。在一些示例中，非暂时性存储介质可以包括能够存储电子数据的一种或多种类型的计算机可读存储介质，包括易失性存储器或非易失性存储器、可移除或不可移除存储器、可擦除或不可擦除存储器、可写或可重写存储器等等。在一些示例中，逻辑可以包括各种软件元素，例如软件组件、程序、应用、计算机程序、应用程序、系统程序、机器程序、操作系统软件、中间件、固件、软件模块、例程、子例程、函数、方法、流程、软件接口、API、指令集、计算代码、计算机代码、代码段、计算机代码段、字、值、符号或其任何组合。
根据一些示例，计算机可读介质可以包括用于存储或维护指令的非暂时性存储介质，所述指令当由机器、计算设备或系统执行指令时，使机器、计算设备或系统根据描述的示例来执行方法和/或操作。指令可以包括任何合适类型的代码，例如源代码、经编译的代码、经解释的代码、可执行代码、静态代码、动态代码等。指令可以根据预定义的计算机语言、方式或语法来实现，以用于命令机器、计算设备或系统执行某个功能。指令可以使用任何合适的高级、低级、面向对象、可视、经编译和/或解释的编程语言来实现。
可以使用表达“在一个示例中”或“示例”及其衍生词来描述一些示例。这些术语意味着结合示例描述的特定特征、结构或特性被包括在至少一个示例中。在说明书中各处的短语“在一个示例中”的出现不一定都指代相同示例。
可以使用表达“耦合”和“连接”及其衍生词来描述一些示例。这些术语不一定旨在作为彼此的同义词。例如，使用术语“连接”和/或“耦合”的描述指示两个或更多个元件彼此直接物理或电接触。然而，术语“耦合”也可以意味着两个或更多个元件彼此不直接接触，但仍然彼此合作或交互。
要强调的是，本公开内容的摘要被提供以符合联邦法规法典第37章第1.72条(b)节，其要求将允许读者快速确定技术公开内容的性质的摘要。应当理解的是，摘要将不被用于解释或限制权利要求的范围或含义。此外，在前面的详细描述中，可以看出，出于简化本公开内容的目的，在单个示例中将各种特征分组在一起。本公开内容的该方法不应当被解释为反映所要求保护的实施例要求多于每个权利要求中明确记载的特征的意图。相反，如以下权利要求所反映的，发明性的主题在于少于单个所公开的示例的所有特征。因此，以下权利要求由此被并入到详细描述中，其中，每个权利要求独立地作为单独的示例。在所附权利要求中，术语“包括(including)”和“其中(in which)”分别用作相应术语“包括(comprising)”和“其中(wherein)”的通俗英语等同词。此外，术语“第一”、“第二”、“第三”等仅用作标签，而并不旨在对其对象施加数字要求。
尽管已经以特定于结构特征和/或方法动作的语言描述了主题，但是应当理解，所附权利要求中定义的主题不一定限于以上描述的特定特征或动作。相反，上述特定特征和动作被公开为实现权利要求的示例性形式。
示例1。一种数据中心，包括：多个物理计算资源；多个物理加速器资源；结构，其用于通信地将所述多个物理计算资源和所述多个物理加速器资源进行耦合；以及虚拟基础设施管理框架，其用于：根据所述多个物理计算资源和所述多个物理加速器资源来组成多个虚拟计算资源；以及将所述多个物理加速器资源中的至少一个动态地分配给所述多个虚拟计算资源中的一个。
示例2。如示例1所述的数据中心，包括多个物理存储资源，所述虚拟基础设施管理框架用于根据所述多个物理计算资源、所述多个物理加速器资源和所述多个物理存储资源来组成所述多个虚拟计算资源。
示例3。如示例1所述的数据中心，包括多个物理存储器资源，所述虚拟基础设施管理框架用于根据所述多个物理计算资源、所述多个物理加速器资源和所述多个物理存储器资源来组成所述多个虚拟计算资源。
示例4。数据中心示例1，所述多个虚拟计算资源中的第一个包括所述物理计算资源中的第一个和所述物理加速器资源中的第一个；并且所述多个虚拟计算资源中的第二个包括所述物理计算资源中的第二个和所述物理加速器资源中的第二个，所述虚拟基础设施管理框架用于将所述多个物理加速器资源中的所述第二个从第二虚拟计算资源动态地分配给第一虚拟计算资源。
示例5。如示例4所述的数据中心，所述多个虚拟计算资源中的第三个包括所述物理计算资源中的第三个和所述物理加速器资源中的第三个，所述虚拟基础设施管理框架用于将所述多个物理加速器资源中的所述第三个从第三虚拟计算资源动态地分配给所述第一虚拟计算资源。
示例6。如示例1至5中任一项所述的数据中心，所述虚拟基础设施管理框架用于基于所述多个虚拟计算资源的服务级别协议来动态地分配所述多个物理加速器资源中的至少一个。
示例7。如示例1至5中任一项所述的数据中心，所述虚拟基础设施管理框架用于基于所述多个虚拟计算资源中的一个或多个的资源利用率来动态地分配所述多个物理加速器资源中的至少一个。
示例8。如示例1至5中任一项所述的数据中心，所述多个加速器资源包括现场可编程门阵列。
示例9。如示例1至5中任一项所述的数据中心，所述虚拟基础设施管理器框架包括数据中心管理程序。
示例10。如示例9所述的数据中心，所述数据中心管理程序用于将所述多个虚拟计算资源中的每一个呈现为主机计算系统。
示例11。如示例1至5中任一项所述的数据中心，包括耦合到所述多个物理计算资源和所述多个物理加速器资源的多个电源。
示例12。如示例1至5中任一项所述的数据中心，其中，所述结构是光学结构。
示例13。如示例1至5中任一项所述的数据中心，其中，所述结构被配置为使得能够经由多个通信协议进行通信。
示例14。如示例13所述的数据中心，其中，所述多个通信协议至少包括以太网和Omni-Path。
示例15。一种用于数据中心的方法，所述方法包括：根据多个物理计算资源和多个物理加速器资源来组成多个虚拟计算资源，所述多个物理计算资源经由结构耦合到所述多个物理加速器资源；以及将所述多个物理加速器资源中的至少一个动态地分配给所述多个虚拟计算资源中的一个。
示例16。如示例15所述的方法，包括根据所述多个物理计算资源、所述多个物理加速器资源和多个物理存储资源来组成所述多个虚拟计算资源。
示例17。如示例15所述的方法，包括根据所述多个物理计算资源、所述多个物理加速器资源和多个物理存储器资源来组成所述多个虚拟计算资源。
示例18。如示例15所述的方法，所述多个虚拟计算资源中的第一个包括所述物理计算资源中的第一个和所述物理加速器资源中的第一个；并且所述多个虚拟计算资源中的第二个包括所述物理计算资源中的第二个和所述物理加速器资源中的第二个，所述方法包括将所述多个物理加速器资源中的所述第二个从第二虚拟计算资源动态地分配给第一虚拟计算资源。
示例19。如示例18所述的方法，所述多个虚拟计算资源中的第三个包括所述物理计算资源中的第三个和所述物理加速器资源中的第三个，所述方法包括将所述多个物理加速器资源中的所述第三个从第三虚拟计算资源动态地分配给所述第一虚拟计算资源。
示例20。如示例15至19中任一项所述的方法，包括基于所述多个虚拟计算资源的服务级别协议来动态地分配所述多个物理加速器资源中的至少一个。
示例21。如示例15至19中任一项所述的方法，包括基于所述多个虚拟计算资源中的一个或多个的资源利用率来动态地分配所述多个物理加速器资源中的至少一个。
示例22。如示例15至19中任一项所述的方法，所述多个加速器资源包括现场可编程门阵列。
示例23。如示例15至19中任一项所述的方法，包括在数据中心管理程序处组成所述多个虚拟计算资源。
示例24。如示例15至19中任一项所述的方法，包括将所述多个虚拟计算资源中的每一个呈现为主机计算系统。
示例25。如示例15至19中任一项所述的方法，其中，所述结构是光学结构。
示例26。如示例15至19中任一项所述的方法，包括经由多个通信协议在所述结构上进行通信。
示例27。如示例26所述的方法，其中，所述多个通信协议至少包括以太网和Omni-Path。
示例28。至少一种机器可读介质，其包括多个指令，所述指令响应于由数据中心的虚拟基础设施管理框架执行使所述虚拟基础设施管理框架执行以下操作：根据多个物理计算资源和多个物理加速器资源来组成多个虚拟计算资源，所述多个物理计算资源经由结构耦合到所述多个物理加速器资源；以及将所述多个物理加速器资源中的至少一个动态地分配给所述多个虚拟计算资源中的一个。
示例29。如示例28所述的至少一个机器可读介质，包括指令，所述指令响应于由所述虚拟基础设施管理框架执行而使所述虚拟基础设施管理框架根据所述多个物理计算资源、所述多个物理加速器资源和多个物理存储资源来组成所述多个虚拟计算资源。
示例30。如示例28所述的至少一个机器可读介质，包括指令，所述指令响应于由所述虚拟基础设施管理框架执行而使所述虚拟基础设施管理框架根据所述多个物理计算资源、所述多个物理加速器资源和多个物理存储器资源来组成所述多个虚拟计算资源。
示例31。如示例28所述的至少一种机器可读介质，所述多个虚拟计算资源中的第一个包括所述物理计算资源中的第一个和所述物理加速器资源中的第一个；并且所述多个虚拟计算资源中的第二个包括所述物理计算资源中的第二个和所述物理加速器资源中的第二个，所述介质包括指令，所述指令响应于由所述虚拟基础设施管理框架执行而使所述虚拟基础设施管理框架将所述多个物理加速器资源中的所述第二个从第二虚拟计算资源动态地分配给第一虚拟计算资源。
示例32。如示例31所述的至少一个机器可读介质，所述多个虚拟计算资源中的第三个包括所述物理计算资源中的第三个和所述物理加速器资源中的第三个，所述介质包括指令，所述指令响应于由所述虚拟基础设施管理框架执行而使所述虚拟基础设施管理框架将所述多个物理加速器资源中的所述第三个从第三虚拟计算资源动态地分配给所述第一虚拟计算资源。
示例33。如示例28至32中任一项所述的至少一种机器可读介质，包括指令，所述指令响应于由所述虚拟基础设施管理框架执行而使所述虚拟基础设施管理框架基于所述多个虚拟计算资源的服务级别协议来动态地分配所述多个物理加速器资源中的至少一个。
示例34。如示例28至32中任一项所述的至少一种机器可读介质，包括指令，所述指令响应于由所述虚拟基础设施管理框架执行而使所述虚拟基础设施管理框架基于所述多个虚拟计算资源中的一个或多个的资源利用率来动态地分配所述多个物理加速器资源中的至少一个。
示例35。如示例28至32中任一项所述的至少一种机器可读介质，所述多个加速器资源包括现场可编程门阵列。
示例36。如示例28至32中任一项所述的至少一种机器可读介质，包括指令，所述指令响应于由所述虚拟基础设施管理框架执行而使所述虚拟基础设施管理框架将所述多个虚拟计算资源中的每一个呈现为主机计算系统。
示例37。如示例28至32中任一项所述的至少一种机器可读介质，其中，所述机器可读介质是非暂时性的。
示例38。如示例28至32中任一项所述的至少一种机器可读介质，其中，所述结构是光学结构。
示例39。如示例28至32中任一项所述的至少一个机器可读介质，包括指令，所述指令响应于由所述虚拟基础设施管理框架执行而使所述虚拟基础设施管理框架经由多个通信协议在所述结构上进行通信。
示例40。如示例39所述的至少一种机器可读介质，其中，所述多个通信协议至少包括以太网和Omni-Path。
示例41。一种数据中心，包括：多个物理计算单元；多个物理加速器单元；结构单元，其用于通信地将所述多个物理计算单元和所述多个物理加速器单元进行耦合；以及虚拟基础设施管理单元，其用于：根据所述多个物理计算单元和所述多个物理加速器单元来组成多个虚拟计算单元；并且将所述多个物理加速器单元中的至少一个动态地分配给所述多个虚拟计算单元中的一个。
示例42。如示例41所述的数据中心，包括多个物理存储单元，所述虚拟基础设施管理单元用于根据所述多个物理计算单元、所述多个物理加速器单元和所述多个物理存储单元来组成所述多个虚拟计算单元。
示例43。如示例41所述的数据中心，包括多个物理存储器资源，所述虚拟基础设施管理框架用于根据所述多个物理计算资源、所述多个物理加速器资源和所述多个物理存储器资源来组成所述多个虚拟计算资源。
示例44。如示例41所述的数据中心，所述多个虚拟计算资源中的第一个包括所述物理计算资源中的第一个和所述物理加速器资源中的第一个；并且所述多个虚拟计算资源中的第二个包括所述物理计算资源中的第二个和所述物理加速器资源中的第二个，所述虚拟基础设施管理框架用于将所述多个物理加速器资源中的所述第二个从第二虚拟计算资源动态地分配给第一虚拟计算资源。
示例45。如示例44所述的数据中心，所述多个虚拟计算资源中的第三个包括所述物理计算资源中的第三个和所述物理加速器资源中的第三个，所述虚拟基础设施管理框架用于将所述多个物理加速器资源中的所述第三个从第三虚拟计算资源动态地分配给所述第一虚拟计算资源。
示例46。如示例41至45中任一项所述的数据中心，所述虚拟基础设施管理框架用于基于所述多个虚拟计算资源的服务级别协议来动态地分配所述多个物理加速器资源中的至少一个。
示例47。如示例41至45中任一项所述的数据中心，所述虚拟基础设施管理框架用于基于所述多个虚拟计算资源中的一个或多个的资源利用率来动态地分配所述多个物理加速器资源中的至少一个。
示例48。如示例41至45中任一项所述的数据中心，所述多个加速器资源包括现场可编程门阵列。
示例49。如示例41至45中任一项所述的数据中心，虚拟基础设施管理器框架包括数据中心管理程序。
示例50。如示例49所述的数据中心，所述数据中心管理程序用于将所述多个虚拟计算资源中的每一个呈现为主机计算系统。
示例51。如示例41至45中任一项所述的数据中心，包括耦合到所述多个物理计算资源和所述多个物理加速器资源的多个电源。
示例52。如示例41至45中任一项所述的数据中心，其中，所述结构是光学结构。
示例53。如示例41至45中任一项所述的数据中心，其中，所述结构被配置为使得能够经由多个通信协议进行通信。
示例54。如示例53所述的数据中心，其中，所述多个通信协议至少包括以太网和Omni-Path。

Claims (25)

1.一种系统，包括：
多个物理计算资源；
多个物理加速器资源；
结构，其用于通信地将所述多个物理计算资源和所述多个物理加速器资源进行耦合；以及
虚拟基础设施管理框架，其用于：
根据所述多个物理计算资源和所述多个物理加速器资源来组成多个虚拟计算资源；以及
将所述多个物理加速器资源中的至少一个动态地分配给所述多个虚拟计算资源中的一个。
2.根据权利要求1所述的系统，包括多个物理存储资源，所述虚拟基础设施管理框架用于根据所述多个物理计算资源、所述多个物理加速器资源和所述多个物理存储资源来组成所述多个虚拟计算资源。
3.根据权利要求1所述的系统，包括多个物理存储器资源，所述虚拟基础设施管理框架用于根据所述多个物理计算资源、所述多个物理加速器资源和所述多个物理存储器资源来组成所述多个虚拟计算资源。
4.根据权利要求1所述的系统，所述多个虚拟计算资源中的第一个包括所述物理计算资源中的第一个和所述物理加速器资源中的第一个；并且所述多个虚拟计算资源中的第二个包括所述物理计算资源中的第二个和所述物理加速器资源中的第二个，所述虚拟基础设施管理框架用于将所述多个物理加速器资源中的所述第二个从第二虚拟计算资源动态地分配给第一虚拟计算资源。
5.根据权利要求4所述的系统，所述多个虚拟计算资源中的第三个包括所述物理计算资源中的第三个和所述物理加速器资源中的第三个，所述虚拟基础设施管理框架用于将所述多个物理加速器资源中的所述第三个从第三虚拟计算资源动态地分配给所述第一虚拟计算资源。
6.根据权利要求1至5中任一项所述的系统，所述虚拟基础设施管理框架用于基于所述多个虚拟计算资源的服务级别协议来动态地分配所述多个物理加速器资源中的至少一个。
7.根据权利要求1至5中任一项所述的系统，所述虚拟基础设施管理框架用于基于所述多个虚拟计算资源中的一个或多个的资源利用率来动态地分配所述多个物理加速器资源中的至少一个。
8.根据权利要求1至5中任一项所述的系统，所述多个加速器资源包括现场可编程门阵列。
9.根据权利要求1至5中任一项所述的系统，所述虚拟基础设施管理器框架包括数据中心管理程序，所述数据中心管理程序用于将所述多个虚拟计算资源中的每一个呈现为主机计算系统。
10.根据权利要求1至5中任一项所述的系统，包括耦合到所述多个物理计算资源和所述多个物理加速器资源的多个电源。
11.根据权利要求1至5中任一项所述的系统，其中，所述结构是光学结构，其被配置为使得能够经由多个通信协议进行通信。
12.一种方法，包括：
根据多个物理计算资源和多个物理加速器资源来组成多个虚拟计算资源，所述多个物理计算资源经由结构耦合到所述多个物理加速器资源；以及
将所述多个物理加速器资源中的至少一个动态地分配给所述多个虚拟计算资源中的一个。
13.根据权利要求12所述的方法，包括根据所述多个物理计算资源、所述多个物理加速器资源和多个物理存储资源来组成所述多个虚拟计算资源。
14.根据权利要求12所述的方法，包括根据所述多个物理计算资源、所述多个物理加速器资源和多个物理存储器资源来组成所述多个虚拟计算资源。
15.根据权利要求12所述的方法，所述多个虚拟计算资源中的第一个包括所述物理计算资源中的第一个和所述物理加速器资源中的第一个；并且所述多个虚拟计算资源中的第二个包括所述物理计算资源中的第二个和所述物理加速器资源中的第二个，所述方法包括将所述多个物理加速器资源中的所述第二个从第二虚拟计算资源动态地分配给第一虚拟计算资源。
16.根据权利要求15所述的方法，所述多个虚拟计算资源中的第三个包括所述物理计算资源中的第三个和所述物理加速器资源中的第三个，所述方法包括将所述多个物理加速器资源中的所述第三个从第三虚拟计算资源动态地分配给所述第一虚拟计算资源。
17.根据权利要求12至16中任一项所述的方法，包括基于所述多个虚拟计算资源的服务级别协议来动态地分配所述多个物理加速器资源中的至少一个。
18.根据权利要求12至16中任一项所述的方法，包括基于所述多个虚拟计算资源中的一个或多个的资源利用率来动态地分配所述多个物理加速器资源中的至少一个。
19.根据权利要求12至16中任一项所述的方法，所述多个加速器资源包括现场可编程门阵列。
20.根据权利要求12至16中任一项所述的方法，包括在数据中心管理程序处组成所述多个虚拟计算资源。
21.根据权利要求12至16中任一项所述的方法，包括将所述多个虚拟计算资源中的每一个呈现为主机计算系统。
22.至少一种机器可读介质，其包括多个指令，所述指令响应于由数据中心的虚拟基础设施管理框架执行而使所述虚拟基础设施管理框架执行以下操作：
根据多个物理计算资源和多个物理加速器资源来组成多个虚拟计算资源，所述多个物理计算资源经由结构耦合到所述多个物理加速器资源；以及
将所述多个物理加速器资源中的至少一个动态地分配给所述多个虚拟计算资源中的一个。
23.根据权利要求22所述的至少一种机器可读介质，包括指令，所述指令响应于由所述虚拟基础设施管理框架执行而使所述虚拟基础设施管理框架根据所述多个物理计算资源、所述多个物理加速器资源和多个物理存储资源来组成所述多个虚拟计算资源。
24.根据权利要求22所述的至少一种机器可读介质，包括指令，所述指令响应于由所述虚拟基础设施管理框架执行而使所述虚拟基础设施管理框架根据所述多个物理计算资源、所述多个物理加速器资源和多个物理存储器资源来组成所述多个虚拟计算资源。
25.根据权利要求22所述的至少一种机器可读介质，所述多个虚拟计算资源中的第一个包括所述物理计算资源中的第一个和所述物理加速器资源中的第一个；并且所述多个虚拟计算资源中的第二个包括所述物理计算资源中的第二个和所述物理加速器资源中的第二个，所述介质包括指令，所述指令响应于由所述虚拟基础设施管理框架执行而使所述虚拟基础设施管理框架将所述多个物理加速器资源中的所述第二个从第二虚拟计算资源动态地分配给第一虚拟计算资源。
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