Green Computing Research Papers 2014 Gmc

Congratulations for Stuart, Sarah, Sang, Divya, Donna, Zach, Joal, and Xinbo received job offers from Google, Intel, LinkedIn, Dell, GM, Raytheon, Spiceworks and Plantronics!

At SC15, we released Greencode, the cloud-based IDE that compiles and runs codes written in more than 20 languages and reports the performance and energy consumption of the codes. Try it out!

(10/2017) Our papers on energy efficiency analysis of MongoDB and Cassandra has been published by the IEEE International Green and Sustainable Computing Conference (IGSC'17).

(01/2017) Our paper on building a power measurable system to support energy-aware HPC and big data research has been published by the Journal of Big Data Research.

(10/2016) Our papers on energy efficient deep learning and energy efficient mobile computing have been published by the IEEE International Conference on Sustainable Computing and Communications (SustainCom'16).

(01/2016) Our paper "Phase–Reconfigurable Shuffle Optimization for Hadoop MapReduce" has been published by the IEEE Transactions on Cloud Computing.

Green Computing

Green Computing is the study and practice of using computing resources efficiently. Typically, green computing systems or products take into account the so-called triple bottom line of people, planet, profit. This differs somewhat from traditional or standard business practices that focus mainly on the economic viability of a computing solution. These focuses are similar to those of green chemistry; reduction of the use of hazardous materials such as lead at the manufacturing and recycling stages, maximized energy efficiency during the product's lifetime, and recyclability or biodegradability of both a defunct product and of any factory waste.
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