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Learn advanced techniques for optimizing structured tensor operations through compilation and compression methods in this 15-minute conference presentation from the Sparse 2025 workshop. Explore how to efficiently handle sparse and structured tensor data by combining compilation strategies with compression algorithms to improve computational performance and memory usage. Discover practical approaches for implementing these optimizations in real-world applications, with insights into the theoretical foundations and implementation challenges of structured tensor processing. Gain understanding of how modern compiler techniques can be adapted specifically for sparse data structures and tensor operations, making this essential viewing for researchers and practitioners working with high-performance computing, machine learning frameworks, and sparse matrix computations.
