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SYSTEMS, DEVICES, AND METHODS FOR IMPLEMENTING IN-MEMORY COMPUTING

机译:用于实现内存计算的系统,设备和方法

摘要

In some embodiments, systems, methods, and devices disclosed herein are directed to implementing in-memory computer systems that offer improved performance over conventional computer systems. In some embodiments, the implementations of in-memory computer systems, devices, and methods described herein can function without reliance on conventional storage devices and thus are not subject to the bottleneck in processing speed associated with conventional storage devices. Rather, in some embodiments, the implementations of in-memory computer systems described herein include and/or utilize a processor and memory, wherein the memory is used for mass data storage, without reliance on a conventional hard drive, solid state drive, or any other peripheral storage device. Some embodiments herein relate to non-uniform real-time memory access (NURA) computing, for example on an in-memory computing system. Other embodiments relate to hybrid input/output (I/O) processing to provide general and flexible I/O functionalities, for example on hyper-converged in-memory systems.
机译:在一些实施例中,本文公开的系统,方法和设备涉及实现在内存中的计算机系统,该计算机系统提供了传统计算机系统的改进性能。在一些实施例中,本文描述的内存计算机系统,设备和方法的实现可以在不依赖于传统的存储设备的情况下起作用,因此不受与传统存储设备相关联的处理速度的瓶颈。相反,在一些实施例中,这里描述的内存计算机系统的实现包括和/或利用处理器和存储器,其中存储器用于质量数据存储,而无需依赖于传统的硬盘驱动器,固态驱动器或任何内存其他外围存储设备。这里的一些实施例涉及非均匀实时存储器访问(NURA)计算,例如在内存计算系统上。其他实施例涉及混合输入/输出(I / O)处理,以提供一般和灵活的I / O功能,例如在超融合的内存系统上。

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