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Explore how emerging memory technologies like Magnetic RAM, Resistive RAM, and Ferroelectric RAM are revolutionizing computing beyond traditional Moore's Law scaling limitations in this 50-minute conference presentation. Discover the transformative potential of these nonvolatile memory technologies in accelerating artificial intelligence inference through innovative compute-in-memory engines while simultaneously reducing costs. Learn how bringing inexpensive persistence closer to processor chips, and even integrating it within the chips themselves, will enhance both performance and cost-effectiveness of standard computing applications. Understand the role of new frameworks like CXL (Compute Express Link) in creating persistence-friendly architectures across all levels of the computing hierarchy. Industry analysts Jim Handy and Tom Coughlin present comprehensive insights into how these memory innovations will deliver significant long-term benefits that extend far beyond their initial development drivers, fundamentally changing the landscape of both specialized AI workloads and general-purpose computing systems.
Syllabus
How New Memories Will Accelerate Both Inference and General Purpose Compute
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