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(5)
Instruction Set Architecture
Multicore Processors
Operating System
Scheduling Algorithm
Workload Characterization
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Leveraging workload diversity through OS scheduling to maximize performance on single-ISA heterogeneous multicore systems
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Leveraging workload diversity through OS scheduling to maximize performance on single-ISA heterogeneous multicore systems
(
Citations: 2
)
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Juan Carlos Saez
,
Daniel Shelepov
,
Alexandra Fedorova
,
Manuel Prieto
Recent research has highlighted the potential benefits of single-ISA heterogeneous
multicore processors
over cost-equivalent homogeneous ones, and it is likely that future processors will integrate cores that have the same
instruction set architecture
(ISA) but offer different performance and power characteristics. To fully tap into the potential of these processors, the
operating system
must be aware of the hardware asymmetry when making scheduling decisions and map applications to cores in consideration of their performance characteristics. We propose a Heterogeneity-Aware Signature-Supported (HASS)
scheduling algorithm
that performs this mapping using per-thread architectural signatures, which are compact summaries of threads’ architectural properties. We implemented HASS in OpenSolaris, and demonstrated that it always outperforms a heterogeneity-agnostic scheduler (by as much as 12.5%) for workloads exhibiting sufficient diversity. Our evaluation also includes an extensive comparison with other heterogeneity-aware schedulers to provide a more clear understanding of the pros and cons behind HASS.
Journal:
Journal of Parallel and Distributed Computing - JPDC
, vol. 71, no. 1, pp. 114-131, 2011
DOI:
10.1016/j.jpdc.2010.08.020
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Citation Context
(1)
...Many of these scheduling algorithms are static (off-line) [7], [8], [9], [10], [
11
], while others perform dynamic (online) scheduling [12], [13], [14], [15], [16], [17]...
Lina Sawalha
,
et al.
Phase-Guided Scheduling on Single-ISA Heterogeneous Multicore Processo...
References
(10)
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(
Citations: 29
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Daniel Ortega
Journal:
Operating Systems Review - SIGOPS
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(
Citations: 123
)
Saisanthosh Balakrishnan
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,
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Journal:
ACM Sigarch Computer Architecture News
, vol. 33, no. 2, pp. 506-517, 2005
Analyzing the Energy-Time Trade-Off in High-Performance Computing Applications
(
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Vincent W. Freeh
,
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,
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,
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,
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,
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,
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Journal:
IEEE Transactions on Parallel and Distributed Systems - TPDS
, vol. 18, no. 6, pp. 835-848, 2007
Amdahl's Law in the multicore era
(
Citations: 143
)
Mark D. Hill
,
Michael R. Marty
Journal:
IEEE Computer - COMPUTER
, vol. 41, no. 7, pp. 187-38, 2008
Evaluating Associativity in CPU Caches
(
Citations: 392
)
Mark D. Hill
,
Alan Jay Smith
Journal:
IEEE Transactions on Computers - TC
, vol. 38, no. 12, pp. 1612-1630, 1989
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Citations
(2)
Phase-Guided Scheduling on Single-ISA Heterogeneous Multicore Processors
Lina Sawalha
,
Sonya Wolff
,
Monte P. Tull
,
Ronald D. Barnes
Conference:
Euromicro Symposium on Digital Systems Design - DSD
, 2011
Maximizing Power Efficiency with Asymmetric Multicore Systems
Alexandra Fedorova
,
Juan Carlos Saez
,
Daniel Shelepov
,
Manuel Prieto
Published in 2009.