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Endurance Management for Resistive Logic-In-Memory Computing Architectures

机译:用于电阻逻辑内存计算架构的耐力管理

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Resistive Random Access Memory (RRAM) is a promising non-volatile memory technology which enables modern in-memory computing architectures. Although RRAMs are known to be superior to conventional memories in many aspects, they suffer from a low write endurance. In this paper, we focus on balancing memory write traffic as a solution to extend the lifetime of resistive crossbar architectures. As a case study, we monitor the write traffic in a Programmable Logic-in-Memory (PLiM) architecture, and propose an endurance management scheme for it. The proposed endurance-aware compilation is capable of handling different trade-offs between write balance, latency, and area of the resulting PLiM implementations. Experimental evaluations on a set of benchmarks including large arithmetic and control functions show that the standard deviation of writes can be reduced by 86.65% on average compared to a naive compiler, while the average number of instructions and RRAM devices also decreases by 36.45% and 13.67%, respectively.
机译:电阻随机存取存储器(RRAM)是一个有前途的非易失性存储器技术,可实现现代内存计算架构。虽然已知RRAM在许多方面优于传统的记忆,但它们遭受低写耐久性。在本文中,我们专注于平衡内存写入流量作为扩展电阻横杆架构的寿命的解决方案。作为案例研究,我们监控可编程逻辑内存(PLIM)架构中的写入流量,并为其提出耐用的管理方案。拟议的耐力感知编译能够处理所产生的PLIM实现的写入平衡,延迟和区域之间的不同权衡。关于一组基准的实验评估,包括大型算术和控制功能,表明,与天真的编译器相比,写入的标准偏差平均降低了86.65%,而平均指令数量和RRAM器件的平均数也减少了36.45%和13.67 %, 分别。

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