Showing 4 of 4 projects
A unified deep learning system for efficient large-scale model training and inference with advanced parallelism strategies.
A lightweight data-parallelism library for Rust that makes it easy to convert sequential computations into parallel ones.
A genomics analysis platform that uses Apache Spark to parallelize genomic data processing across clusters, replacing traditional file-based workflows.
A fast and flexible deep learning system with NumPy-like NDarray interface and easy multi-GPU support.
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