SHPC 2017 - International Workshop on Sustainable High Performance Computing 2017 (SHPC2017)

Sustainable high performance computing puts dependability in high performance computing. Without dependability, high performance computing applications will hit the scalability wall. The escalating checkpoints will eclipse the effective computing times eventually.
SHPC2017 Workshop aims to bring researchers in the related areas together to exchange ideas and concepts for solving this important challenge.
SHPC2017 encourages submissions of credible in-depth stories that may be success or failure in dependable computing. In fact, failures are more informative than successes for inspiring new methodologies. For example, in 2015, we have learned that based on Alan Fekete's 1993 impossibility result, the end-to-end computing APIs (application programming interfaces) are directly responsible for applications scalability dilemma. It undermines all dependability claims of checkpoint/restore algorithms.
In particular, data intensive distributed computing efforts are highly encouraged since they are more difficult to scale.
SHPC2017 provides a platform for computing architecture researchers, industry practitioners and government agencies to exchange evolving distributed mission critical computing requirements, ideas and preliminary results.
As computational services are to become integral parts of human societies, performance, dependability, sustainability and security of these services directly impact future social and economic prosperity. SHPC2017 will be a new checkpoint of dependable computing, autonomic computing and sustainable HPC efforts. The results may prove to be of fundamentally importance towards the building of 21st century software engineering principles.
Topics of Interest:
We invite speakers to give talks on the theoretical foundation of programming for volatile resources. Topics include but not limited to the following areas:
Theoretical foundation of programming volatile resources.
Impossibility results.
Theoretical architecture concepts for reliable service using volatile resources.
Application scalability analysis using volatile resources.
Investigative reports on delivered performance for computation intensive and data intensive applications with failure
Investigative results on delivered cloud performances for computation intensive and data intensive applications
Theoretical models and experiences in non-conventional HPC programming paradigms
Experiences in using auction-based HPC cloud resources
Experiences in virtualized GPU for HPC applications
Experiences in virtualized network for HPC applications
Innovative failure prevention and recovery methods and models