Paper Title: Bringing Intelligence to Enterprise Storage Drives

Paper Abstract: As the evolution from compute-centric solutions to data-centric solutions gathers pace, the type of processing and the processing performance requirements vary greatly. From traditional processing, running Linux applications, to advanced Machine Learning (ML) and Neural Networks (NL) processing large data sets, there are significant advantages for many applications of bringing the processing closer to the data. This decreases latencies and increases performance, while minimizing data movement and power consumption. The time is now right for adding scalable and flexible compute to drives to transition to powerful data-centric solutions. This talk will discuss the varied options for adding "intelligence" to drives to deliver the diverse applications and meet the varied processing and performance requirements.

Paper Author: Neil Werdmuller, Director, Storage Solutions, Arm Holdings

Author Bio: Neil Werdmuller is a Director at Arm leading the Storage Solutions Team, where he is responsible for product management and relationships with ARM storage partners globally. He was previously Senior Product Manager for the Cortex-R series of real-time processors and solutions. Before joining Arm , he was responsible for the Strategic Sourcing and IP Management in the Wireless Connectivity Business Unit at Texas Instruments. He has more than 25 years of experience in embedded markets. He earned a BSc in Computer Science from Portsmouth University (UK).