Paper Info
Title
RCHC: A Holistic Runtime System for Concurrent Heterogeneous Computing
Abstract
Concurrent heterogeneous computing (CHC) is rapidly emerging as a promising solution for high-performance and energy-efficient computing. The fundamental challenges for efficient CHC are how to partition the workload of the target application across the devices in the underlying CHC system and how to control the operating frequency of each device in order to maximize the overall efficiency. Despite the extensive prior work on the system software techniques for CHC, efficient runtime support for CHC that robustly supports both functional and performance heterogeneity without the need for extensive offline profiling still remains unexplored. To bridge this gap, we propose RCHC, a holistic runtime system for concurrent heterogeneous computing. RCHC dynamically profiles the target application and constructs the performance and power estimation models based on the runtime information. Guided by the estimation models, RCHC explores the system state space, determines the best system state that is expected to maximize the efficiency of the target application, and accordingly executes it. Our experimental results demonstrate that RCHC significantly outperforms the baseline version (e.g., 61.0% higher energy efficiency on average) that employs the GPU and achieves the efficiency comparable with that of the static best version, which requires extensive offline profiling.
Year
DOI
Venue
2016
10.1109/ICPP.2016.31
2016 45th International Conference on Parallel Processing (ICPP)
Keywords
Field
DocType
RCHC system,holistic runtime system,concurrent heterogeneous computing,system software techniques,estimation model,energy efficiency,offline profiling
System software,Operating frequency,Efficient energy use,Workload,Computer science,Profiling (computer programming),Parallel computing,Symmetric multiprocessor system,State space,Distributed computing,Runtime system
Conference
ISSN
ISBN
Citations 
0190-3918
978-1-5090-2824-5
2
PageRank 
References 
Authors
0.38
12
2
Name
Order
Citations
PageRank
Jinsu Park1367.43
Woongki Baek240225.85