- Performance and Power Evaluation of AI Accelerators for Training Deep Learning Models : as Deep Learning users seek to squeeze that extra 5% accuracy from their model. They turn to hardware accelerator in order to reduce cost and shorten the training time by order of magnitude. However, not all accelerators are created equals as the authors demonstrate in this paper.
- MLPerf Benchmark Suite : Benchmark suite for machine learning hardware accelerator [slides / presentation]
- C4 model : software modelization architecture framework. Help you simplify and clearly describe your software stack by breaking it down into 4 distinct layers: system, containers, components, and code.
