ARCRDCPFJun 11

A Modern Large-Scale Memory Characterization Laboratory

arXiv:2606.137257.3h-index: 24
Predicted impact top 43% in AR · last 90 daysOriginality Synthesis-oriented
AI Analysis

For memory system researchers, this is an incremental update to an existing tool, providing modest improvements in experimental capabilities and scalability.

This paper presents updates to DRAM Bender, a large-scale DRAM characterization infrastructure, adding support for new experiments, expanded DRAM interface standards, and improved ease of use at scale, aiming to help the community address memory scaling issues.

Real memory chip characterization yields insights into fundamental operational characteristics of modern memory, enabling new mechanisms that improve memory performance, robustness, security, and energy efficiency. We describe our large-scale DRAM characterization laboratory for understanding DRAM. A key building block of this laboratory is DRAM Bender, a versatile and easy-to-use modern DRAM characterization infrastructure. We have updated DRAM Bender to i) introduce support for new types of characterization experiments, ii) expand on its DRAM interface standard support, and iii) make it easier to use at large scale. This paper introduces these updates for the first time. We hope our infrastructure enables the community to discover new problems and solve critical memory scaling issues, enabling the overcoming of the huge memory bottleneck that plagues modern computing systems.

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