Analytically Modeling NVM Design Trade-Offs

Abstract

As considerable ongoing research is put towards developing emerging non-volatile memories, there is a growing interest in evaluating the potential of these technologies for enabling efficient compute in a variety of application spaces. While simulation tools for characterizing different NVMs at the array level exist, the increasingly complex design space introduced by emerging NVMs together with the need to assess the impact of application-specific performance and energy requirements demands the ability to conduct extensive and efficient system-level analysis. Our proposed, generalized framework provides an opportunity for analyzing the performance, power, and area implications of leveraging a particular proposed NVM technology under a specific use case.

Publication
Accepted as a poster in the Non-Volatile Memories Workshop (NVMW ‘20)
Akshitha Sriraman
Akshitha Sriraman
Assistant Professor

I am an Assistant Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University. My research bridges computer architecture and software systems, with a focus on making datacenter-scale web systems more efficient, sustainable, and equitable (via solutions that span the systems stack).