Proposals

BLOX for Deep Learning Task Scheduling with GPU Collocation Checkpointing during Deep Learning Training GPU Memory Dataset with a focus on Transformer-Based Models Predicting GPU utilization for Deep learning training Good or Bad: LLM-Generated Datasets Role-Based Access Control in Data Lakes Alternative IO backends for Database Systems and SSDs Benchmarking Edge Devices for Data-Intensive Applications Data Attribution on Progressive Datasets for Deep Learning Efficient Data Selection Methods for Machine Learning Framework for Systematic Performance Experiments for Machine Learning Going Beyond Memory with GPU-based Data Analytics Resource Management on Tiny Hardware Evaluating the Impact of Collocating Deep Learning Training Tasks on Jetson Orion Nano GPUs Lifecycle-Aware Neural Architecture Search

Projects