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Building a High Performance, Secure, Reliable and Compliant Heterogeneous Computing Capability Through the Integration of Core and Edge Processing

机译:通过集成核心和边沿处理,构建高性能,安全,可靠和兼容的异构计算能力

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Heterogeneous computing and heterogeneous clouds refer to emerging architectures to build a variety ofprocessors including CPUs, GPUs, FPGAs, and more specialized processing elements into an interconnected meshenvironment to provide an ideal processing capability for a variety of complex tasks and data types. The conceptexpands to cover edge computing enabling preprocessing, data selection, and data conditioning/labeling to enhance theoverall outcome. The combination of processors will be augmented by a variety of interconnect and memoryarchitectures and configurations leading to customizable settings and flows meeting the changing needs of data andcustomers. This variety of environments, tasks, and interconnects creates a new landscape that greatly varies from ourstandard computing infrastructure therefore reducing our expertise in identifying threats based on network, memory, andprocessing based on trends resulting in an unknown trust level. The goal is to build and operate a heterogeneous platformthat provides dynamic resource assignments and capability elasticity to meet standard and surge needs in an environmentthat provides data security, isolation and attribution. Access control also becomes an essential element of the newenvironment.
机译:异构计算和异质云是指新兴架构来构建各种各样的架构包括CPU,GPU,FPGA以及更专业化的处理元件的处理器进入互连网格环境为各种复杂任务和数据类型提供理想的处理能力。这个概念扩展以覆盖边缘计算,可启用预处理,数据选择和数据调节/标记以增强总体结果。处理器的组合将由各种互连和内存增强架构和配置导致可定制的设置和流量满足数据不断变化的数据需求和顾客。这种环境,任务和互连创造了一种新的景观,从我们的情况下变化很大因此,标准计算基础设施减少了我们在识别基于网络,内存和的威胁方面的专业知识基于趋势的处理导致了未知的信任级别。目标是建立和操作异构平台提供动态资源分配和能力弹性,以满足环境中的标准和浪涌需求提供数据安全性,隔离和归属。访问控制也成为新的基本要素环境。

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