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Impact of application and service knowledge for energy efficiency in HPC
| Content Provider | ACM Digital Library |
|---|---|
| Author | Lefevre, Laurent |
| Abstract | The constant demand of raw performance in high performance computing often leads to high performance systems' over-provisioning which in turn can result in a colossal energy waste due to workload/application variation over time. Proposing energy efficient solutions in the context of large scale HPC is a real unavoidable challenge. This talk will explore alternative approaches (with or without knowledge of applications and services) dealing with the same goal: reducing the energy usage of large scale infrastructures which support HPC applications. Approaches "with knowledge of applications and services" enable users to choose the less consuming implementation of services. Approaches "without knowledge" allow some intelligent framework to observe the life of HPC systems and propose some energy reduction schemes. Both approaches will be explored and analyzed in terms of energy efficiency. |
| Starting Page | 1 |
| Ending Page | 2 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781450319805 |
| DOI | 10.1145/2480347.2480351 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2013-06-17 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Application knowledge High performance computing Energy efficiency |
| Content Type | Text |
| Resource Type | Article |
