Auto-tuning multi-programmed workload on the SCC

@article{Roscoe2013AutotuningMW,
  title={Auto-tuning multi-programmed workload on the SCC},
  author={Brian Roscoe and Mathias Herlev and Chen Liu},
  journal={2013 International Green Computing Conference Proceedings},
  year={2013},
  pages={1-5}
}
The need for power-aware computing has become increasingly apparent. Common power-aware platforms have placed the burden of optimizing energy consumption on the programmer. In many cases this is a complex task which requires more time from the programmer than is acceptable. Hence, auto-tuning for power-aware computing has been proposed to alleviate the programmer from this task. Previous research has been focusing on automatic tuning of individual applications. However, there has been little… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-6 OF 6 CITATIONS

Energy-Aware Automatic Tuning of Many-Core Platform via Gradient Descent

  • 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)
  • 2018
VIEW 1 EXCERPT
CITES METHODS

GreedyTalents: An Energy-Aware Auto-Tuning Method for Many-Core Processor

  • 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
  • 2018
VIEW 1 EXCERPT
CITES BACKGROUND

HSCS: a hybrid shared cache scheduling scheme for multiprogrammed workloads

  • Frontiers of Computer Science
  • 2017
VIEW 3 EXCERPTS
CITES BACKGROUND & METHODS

Energy-Aware Automatic Tuning on Many-Core Platform via Differential Evolution

  • 2016 45th International Conference on Parallel Processing Workshops (ICPPW)
  • 2016
VIEW 2 EXCERPTS
CITES METHODS & BACKGROUND

References

Publications referenced by this paper.
SHOWING 1-10 OF 12 REFERENCES

Differential Evolution.

R. Storn, K. Price
  • Internet: http://www1.icsi.berkeley.edu/∼storn/code.html [Nov
  • 2012
VIEW 1 EXCERPT

Aplication-Level Automatic Performance Tuning on the Single-Chip Cloud Computer

V. Pankratius, S. Blaese
  • 3rd Many-Core Applications Research Community (MARC) Symposium,
  • 2011
VIEW 1 EXCERPT

A 48-Core IA-32 message-passing processor with DVFS in 45nm CMOS

  • 2010 IEEE International Solid-State Circuits Conference - (ISSCC)
  • 2010
VIEW 2 EXCERPTS

The 48-core SCC Processor: the Programmer's View

  • 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis
  • 2010
VIEW 1 EXCERPT

Profile-based optimization of power performance by using dynamic voltage scaling on a PC cluster

  • Proceedings 20th IEEE International Parallel & Distributed Processing Symposium
  • 2006
VIEW 1 EXCERPT

Similar Papers

Loading similar papers…