Evaluating application performance and energy consumption on hybrid CPU+GPU architecture

Authors:
Edson Luiz Padoin;Laércio Lima Pilla;Francieli Zanon Boito;Rodrigo Virote Kassick;Pedro Velho;Philippe O. Navaux
Affiliations:
Institute of Informatics, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil and Department of Exact Sciences and Engineering, Regional University of Northwest of Rio Grande do ...;Institute of Informatics, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil;Institute of Informatics, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil;Institute of Informatics, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil;Institute of Informatics, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil;Institute of Informatics, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
Venue:
Cluster Computing
Year:
2013

Citing 22
Cited 0

Brook for GPUs: stream computing on graphics hardware

ACM SIGGRAPH 2004 Papers
Towards Efficient Supercomputing: A Quest for the Right Metric

IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 11 - Volume 12
Inverse Problem Theory and Methods for Model Parameter Estimation

Inverse Problem Theory and Methods for Model Parameter Estimation
The Green500 List: Encouraging Sustainable Supercomputing

Computer
Aspects of GPU for general purpose high performance computing

Proceedings of the 2009 Asia and South Pacific Design Automation Conference
The International Exascale Software Project: a Call To Cooperative Action By the Global High-Performance Community

International Journal of High Performance Computing Applications
Qilin: exploiting parallelism on heterogeneous multiprocessors with adaptive mapping

Proceedings of the 42nd Annual IEEE/ACM International Symposium on Microarchitecture
Using Performance Modeling to Design Large-Scale Systems

Computer
Accelerating Kirchhoff Migration by CPU and GPU Cooperation

SBAC-PAD '09 Proceedings of the 2009 21st International Symposium on Computer Architecture and High Performance Computing
State-of-the-art in heterogeneous computing

Scientific Programming
Exascale science: the next frontier in high performance computing

Proceedings of the 24th ACM International Conference on Supercomputing
Debunking the 100X GPU vs. CPU myth: an evaluation of throughput computing on CPU and GPU

Proceedings of the 37th annual international symposium on Computer architecture
Power Measurements and Analyses of Massive Object Storage System

CIT '10 Proceedings of the 2010 10th IEEE International Conference on Computer and Information Technology
A Tale of Two Green Lists

Computer
Investigation on the power efficiency of multi-core and GPU Processing Element in large scale SIMD computation with CUDA

GREENCOMP '10 Proceedings of the International Conference on Green Computing
Efficient resource management for Cloud computing environments

GREENCOMP '10 Proceedings of the International Conference on Green Computing
Power-Efficient Work Distribution Method for CPU-GPU Heterogeneous System

ISPA '10 Proceedings of the International Symposium on Parallel and Distributed Processing with Applications
Power and Performance Characterization of Computational Kernels on the GPU

GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
Understanding Power Measurement Implications in the Green500 List

GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
A Waterfall Model to Achieve Energy Efficient Tasks Mapping for Large Scale GPU Clusters

IPDPSW '11 Proceedings of the 2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and PhD Forum
High-efficiency server design

Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis
The tops in flops

IEEE Spectrum

Quantified Score

Hi-index	0.00

Visualization

Abstract

The High Performance Computing (HPC) community aimed for many years to increase performance regardless of energy consumption. Until the end of the decade, a next generation of HPC systems is expected to reach sustained performances of the order of exaflops. This requires many times more performance compared to the fastest supercomputers of today. Achieving this goal is unthinkable with current technology due to strict constraints on supplied power. Therefore, finding ways to improve energy efficiency become a main challenge on state-of-the-art research. The present paper investigates energy efficiency on heterogeneous CPU+GPU architectures using a scientific application from the agroforestry domain as a case-study. Differently from other works, our work evaluates how the workload of the application may affect energy efficiency on hybrid architectures. Results point out that the power supplier constraints depend also on the workload.