论文标题
部分可观测时空混沌系统的无模型预测
Making Real Memristive Processing-in-Memory Faster and Reliable
论文作者
论文摘要
回忆技术是替代传统记忆技术的有吸引力的候选者，也可以使用称为“状态逻辑”的技术来执行逻辑和算术操作。在内存阵列中结合数据存储和计算可以实现一种新型的非枪neumann架构，在此过程中，这两个操作都是在回忆的内存处理单元（MMPU）中执行的。 MMPU依赖于在不更改基本内存阵列结构的情况下向回忆存储单元添加计算功能。 MMPU的使用减轻了Von Neumann机器中对性能和能量的主要限制，即CPU和内存之间的数据传输。在这里，讨论了MMPU的各个方面，包括其体系结构以及对计算系统和软件的启示，以及研究微体系式方面。我们展示了如何改进MMPU以加速不同的应用程序，以及如何作为MMPU操作的一部分提高新闻器的可靠性。
Memristive technologies are attractive candidates to replace conventional memory technologies, and can also be used to perform logic and arithmetic operations using a technique called 'stateful logic.' Combining data storage and computation in the memory array enables a novel non-von Neumann architecture, where both the operations are performed within a memristive Memory Processing Unit (mMPU). The mMPU relies on adding computing capabilities to the memristive memory cells without changing the basic memory array structure. The use of an mMPU alleviates the primary restriction on performance and energy in a von Neumann machine, which is the data transfer between CPU and memory. Here, the various aspects of mMPU are discussed, including its architecture and implications on the computing system and software, as well as examining the microarchitectural aspects. We show how mMPU can be improved to accelerate different applications and how the poor reliability of memristors can be improved as part of the mMPU operation.
