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PROMETHEUS: PROCESSING-IN-MEMORY HETEROGENOUS ARCHITECTURE DESIGN FROM A MULTI-LAYER NETWORK THEORETIC STRATEGY

机译:PROMETHEUS:基于多层网络理论的内存异质架构设计

摘要

With increasing demand for distributed intelligent physical systems performing big data analytics on the field and in real-time, processing-in-memory (PIM) architectures integrating 3D-stacked memory and logic layers could provide higher performance and energy efficiency. Towards this end, the PIM design requires principled and rigorous optimization strategies to identify interactions and manage data movement across different vaults.
机译:随着对在现场和实时执行大数据分析的分布式智能物理系统的需求不断增长,集成了3D堆栈存储器和逻辑层的内存处理(PIM)架构可以提供更高的性能和能效。为此,PIM设计需要有原则和严格的优化策略来识别交互并管理不同保管库之间的数据移动。

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