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Showing 1 to 3 of 3 for “"Large-scale Ml"”.
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Designing scalable large-scale storage-based GNN framework by efficiently leveraging heterogeneous hardware resources
The student, Jeongmin Park, submitted this Dissertation for approval on 2024-12-03 at 22:05.
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Towards Workload-aware Efficient Machine Learning Systems
Machine learning (ML) is transforming various aspects of our lives, driving the need for computing systems that efficiently support large-scale ML workloads. As models grow in size and complexity, existing systems struggle to adapt, limiting both performance and flexibility. Additionally, ML …
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Small Spacecraft Design & Machine Learning-based Approaches To Lunar Robotics Navigation
… small satellites and machine learning (ML). Nowadays, satellite technologies have progressed to the point where off-the-shelf components can be purchased for small-satellite missions, greatly reducing the time and cost needed to prepare a new mission. The rapid escalation of the …