Transformer: A New Paradigm for Building Data-Parallel Programming Models
Peng Wang, Dan Meng, Jizhong Han, Jianfeng Zhan, Bibo Tu, Xiaofeng Shi, Le Wan · IEEE Micro · 2010
Cloud computing drives the design and development of diverse programming models for massive data processing. the transformer programming framework aims to facilitate the building of diverse data-parallel programming models. transformer has two layers: a common runtime system and a model-specific system. using transformer, the authors show how to implement three programming models: dryad-like data flow, MapReduce, and All-Pairs.