Design exploration of IGZO diode based VCMA array design for Storage Class Memory Applications

Main memory system design and corresponding technology requirements have become increasingly challenging for data-dominated high-performance applications. To address the leakage and scalability issues of the conventional DRAMbased memory, new memory technologies with ultra-low leakage and potential for high scalability have been explored extensively over the last decade. However, none of them are mature enough to serve as a drop-in replacement for DRAM. In this paper, we propose a hybrid main memory system solution for utilizing new memory technologies with specific features, based on the target application characteristics and system configuration. To this end, we examine two new memories, 1S-1VCMA and IGZObased DRAM, along with conventional DRAM in the context of hybrid main memory solutions for high-capacity and low-power Pareto-optimizations, respectively. To better evaluate the power and performance, we consider the page-fault modeling in our evaluations. The results of the simulation show that different combinations of memory technologies in the hybrid memory system, different memory capacities, and different storage systems could provide a promising solution in the system regarding the characteristics of running applications and the requirements of the system.

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Parl: Page Allocation in Hybrid Main Memory Using Reinforcement Learning

Karimov,

Evenblij,

Alinezhad Chamazcoti

et al. 2024

Preprint

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Design exploration of IGZO diode based VCMA array design for Storage Class Memory Applications

Cited by 3 publications

References 10 publications

Design Technology co-optimization of 1D-1VCMA to improve read performance for SCM applications

Design Technology co-optimization of 1D-1VCMA to improve read performance for SCM applications

Exploring Pareto-Optimal Hybrid Main Memory Configurations Using Different Emerging Memories

Parl: Page Allocation in Hybrid Main Memory Using Reinforcement Learning

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