Title
The design and implementation of heterogeneous multicore systems for energy-efficient speculative thread execution
Abstract
With the emergence of multicore processors, various aggressive execution models have been proposed to exploit fine-grained thread-level parallelism, taking advantage of the fast on-chip interconnection communication. However, the aggressive nature of these execution models often leads to excessive energy consumption incommensurate to execution time reduction. In the context of Thread-Level Speculation, we demonstrated that on a same-ISA heterogeneous multicore system, by dynamically deciding how on-chip resources are utilized, speculative threads can achieve performance gain in an energy-efficient way. Through a systematic design space exploration, we built a multicore architecture that integrates heterogeneous components of processing cores and first-level caches. To cope with processor reconfiguration overheads, we introduced runtime mechanisms to mitigate their impacts. To match program execution with the most energy-efficient processor configuration, the system was equipped with a dynamic resource allocation scheme that characterizes program behaviors using novel processor counters. We evaluated the proposed heterogeneous system with a diverse set of benchmark programs from SPEC CPU2000 and CPU20006 suites. Compared to the most efficient homogeneous TLS implementation, we achieved similar performance but consumed 18% less energy. Compared to the most efficient homogeneous uniprocessor running sequential programs, we improved performance by 29% and reduced energy consumption by 3.6%, which is a 42% improvement in energy-delay-squared product.
Year
DOI
Venue
2013
10.1145/2541228.2541233
TACO
Keywords
Field
DocType
excessive energy consumption incommensurate,novel processor counter,heterogeneous multicore system,various aggressive execution model,multicore architecture,energy-efficient speculative thread execution,program execution,energy-efficient processor configuration,multicore processor,execution model,heterogeneous component,execution time reduction,thread level speculation,energy efficiency
Uniprocessor system,Efficient energy use,Computer science,Parallel computing,Speculative multithreading,Thread (computing),Real-time computing,Resource allocation,Design space exploration,Energy consumption,Multi-core processor,Distributed computing
Journal
Volume
Issue
ISSN
10
4
1544-3566
Citations 
PageRank 
References 
2
0.36
34
Authors
3
Name
Order
Citations
PageRank
Yangchun Luo1392.29
Wei-Chung Hsu271958.87
Antonia Zhai345923.62