A Modern Large-Scale Memory Characterization Laboratory

Computer Science > Hardware Architecture [Submitted on 11 Jun 2026] A Modern Large-Scale Memory Characterization Laboratory Ataberk Olgun, Haocong Luo, Ismail Emir Yuksel, F. Nisa Bostanci, A. Giray Yaglikci, Onur Mutlu 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. Comments: To appear at the ACM International Conference on Supercomputing Workshops (ICS Workshops) 2026 Subjects: Hardware Architecture (cs.AR); Cryptography and Security (cs.CR); Distributed, Parallel, and Cluster Computing (cs.DC); Performance (cs.PF) Cite as: arXiv:2606.13725 [cs.AR]   (or arXiv:2606.13725v1 [cs.AR] for this version)   https://doi.org/10.48550/arXiv.2606.13725 Focus to learn more Submission history From: Ataberk Olgun [view email] [v1] Thu, 11 Jun 2026 08:49:31 UTC (3,121 KB) Access Paper: HTML (experimental) view license Current browse context: cs.AR < prev   |   next > new | recent | 2026-06 Change to browse by: cs cs.CR cs.DC cs.PF References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)