Ann Arbor, MI, United States of America

Ronald Dreslinski

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: University of Michigan. Active years: 2025.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations by Ronald Dreslinski

Introduction

Ronald Dreslinski is a prominent inventor based in Ann Arbor, MI (US). He has made significant contributions to the field of memory systems, particularly in enhancing the performance of recommendation models. His innovative approach combines different memory technologies to address existing limitations.

Latest Patents

Dreslinski holds a patent for a "DRAM-RRAM hybrid memory system for recommendation models." This invention addresses the performance limitations of modern recommendation models, which are often hindered by the memory bandwidth requirements of embedding layer reductions. The hybrid memory system integrates DRAM and RRAM with processing-in-memory (PIM) capabilities. It offers a comprehensive optimization strategy that includes access-pattern aware mapping, compute complexity reduction, and selective PIM reduction to mitigate computation latency. Evaluations indicate that this hybrid memory system achieves significant improvements in performance, energy efficiency, and energy-delay product (EDP), with enhancements of 2.6×, 1.7×, and 4.4×, respectively, compared to a CPU baseline.

Career Highlights

Dreslinski is affiliated with the University of Michigan, where he continues to advance research in memory systems and their applications. His work has garnered attention for its innovative solutions to complex problems in computing.

Collaborations

He has collaborated with notable colleagues, including Heewoo Kim and Haojie Ye, contributing to the advancement of technology in their respective fields.

Conclusion

Ronald Dreslinski's contributions to memory systems exemplify the impact of innovative thinking in technology. His work not only addresses current challenges but also paves the way for future advancements in recommendation models and memory technologies.

Profile summary based on public USPTO records.
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