Transformer: A New Paradigm for Building Data-Parallel Programming Models

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 sys...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE MICRO Vol. 30; no. 4; pp. 55 - 64
Main Authors:	Wang, Peng, Meng, Dan, Han, Jizhong, Zhan, Jianfeng, Tu, Bibo, Shi, Xiaofeng, Wan, Le
Format:	Journal Article
Language:	English
Published:	Los Alamitos IEEE 01.07.2010 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	actor model All-Pairs Cloud computing Clouds Computation Computational modeling data flow data intensive computing Data models Data processing Design engineering Libraries Load modeling MapReduce Mathematical models Parallel processing Programming Programming languages programming model Receivers Runtime Transformers
ISSN:	0272-1732, 1937-4143
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!