Paper Info
Title
Methodologies and Performance Metrics to Evaluate Multiprogram Workloads
Abstract
Multicore processors are dominating the microprocessor market and most research work has moved to this kind of processors. Multicore research methods are still immature and evolving from the single-threaded processor ounterparts. Three main research issues must be faced when evaluating performance and energy in multicores. First, multiple simulation methodologies are being applied to evaluate these systems, without being an agreement about which to use. Second, due to the nature of multiprogram workloads new performance metrics are required, different from those used in single-thread processors. Many metrics have been defined and distinct metrics are used across the published works. Finally, multicore processors are really complex systems which require from sophisticated and complementary (e.g. energy and performance) simulators. This paper pursues to help researchers face the three mentioned research issues. For this purpose, we compare these issues across 28 papers published in 2013 in top computer architecture conferences. Both analytical examples and experimental results are presented with the aim of providing some insights in multicore research.
Year
DOI
Venue
2015
10.1109/PDP.2015.74
PDP
Keywords
Field
DocType
indexes,multicore processing,performance,methodologies,benchmark testing,measurement,metrics,evaluation,multicore processors,hidden markov models,multicore
Complex system,Computer architecture,Computer science,Microprocessor,Parallel computing,Multi-core processor,Distributed computing
Conference
ISSN
Citations 
PageRank 
1066-6192
1
0.36
References 
Authors
22
4
Name
Order
Citations
PageRank
Vicent Selfa163.86
Julio Sahuquillo242053.71
Crispin Gomez Requena3363.19
María Engracia Gómez414917.48