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Learn about data-centric programming models for Near-Data Processing (NDP) within Memory Operating Systems (MemOS) through this 18-minute conference talk from the Open Compute Project. Explore how Elephance Memory approaches the integration of processing capabilities directly within memory systems, examining the architectural considerations and programming paradigms that enable efficient data processing at the memory level. Discover the challenges and opportunities in developing operating system frameworks that can effectively manage and orchestrate near-data processing workloads, including memory allocation strategies, task scheduling, and data locality optimization. Gain insights into the evolution of memory systems from passive storage to active computing elements and understand how data-centric programming models can revolutionize application performance by minimizing data movement and maximizing computational efficiency within modern memory architectures.
