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Transforming memory systems: Optimizing for client value on emerging workloads

机译:转变内存系统:针对新兴工作负载优化客户价值

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Computing systems are increasingly being transformed to better satisfy the demands of cloud computing, Big Data, and deep, sophisticated analytics applications. These applications are driving an explosion in volume of data, acceleration of the rate at which this data must be consumed, and an increase in the diversity of sources of data. Memory system architectures and designs are perhaps most affected by these changes in computing applications. The disruptive trends resulting from these new application spaces lead to significant capacity, power, and cost pressures on computing systems. These trends will lead to changes in traditional memory technologies and memory systems and represent an opportunity of new memory technologies and organizations. Storage class memory is particularly suited to a significant set of these application spaces.
机译:计算系统正在不断转型,以更好地满足云计算,大数据以及深度,复杂的分析应用程序的需求。这些应用正在推动数据量的爆炸式增长,必须消耗此数据的速率的加快以及数据源多样性的增加。存储系统的体系结构和设计可能受计算应用程序中这些更改的影响最大。这些新的应用程序空间所带来的破坏性趋势导致计算系统的巨大容量,功耗和成本压力。这些趋势将导致传统存储技术和存储系统的变化,并为新的存储技术和组织带来机遇。存储类内存特别适合大量此类应用程序空间。

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