Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 177 tok/s
Gemini 2.5 Pro 44 tok/s Pro
GPT-5 Medium 29 tok/s Pro
GPT-5 High 32 tok/s Pro
GPT-4o 119 tok/s Pro
Kimi K2 202 tok/s Pro
GPT OSS 120B 432 tok/s Pro
Claude Sonnet 4.5 36 tok/s Pro
2000 character limit reached

Monarch: A Durable Polymorphic Memory For Data Intensive Applications (2108.08497v1)

Published 19 Aug 2021 in cs.AR, cs.SY, and eess.SY

Abstract: 3D die stacking has often been proposed to build large-scale DRAM-based caches. Unfortunately, the power and performance overheads of DRAM limit the efficiency of high-bandwidth memories. Also, DRAM is facing serious scalability challenges that make alternative technologies more appealing. This paper examines Monarch, a resistive 3D stacked memory based on a novel reconfigurable crosspoint array called XAM. The XAM array is capable of switching between random access and content-addressable modes, which enables Monarch (i) to better utilize the in-package bandwidth and (ii) to satisfy both the random access memory and associative search requirements of various applications. Moreover, the Monarch controller ensures a given target lifetime for the resistive stack. Our simulation results on a set of parallel memory-intensive applications indicate that Monarch outperforms an ideal DRAM caching by 1.21x on average. For in-memory hash table and string matching workloads, Monarch improves performance up to 12x over the conventional high bandwidth memories.

Citations (1)

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.