The NAS parallel benchmarks—summary and preliminary results
Proceedings of the 1991 ACM/IEEE conference on Supercomputing
The Performance of Spin Lock Alternatives for Shared-Memory Multiprocessors
IEEE Transactions on Parallel and Distributed Systems
Single-ISA Heterogeneous Multi-Core Architectures: The Potential for Processor Power Reduction
Proceedings of the 36th annual IEEE/ACM International Symposium on Microarchitecture
Single-ISA Heterogeneous Multi-Core Architectures for Multithreaded Workload Performance
Proceedings of the 31st annual international symposium on Computer architecture
Mitigating Amdahl's Law through EPI Throttling
Proceedings of the 32nd annual international symposium on Computer Architecture
The Impact of Performance Asymmetry in Emerging Multicore Architectures
Proceedings of the 32nd annual international symposium on Computer Architecture
Dynamic thread assignment on heterogeneous multiprocessor architectures
Proceedings of the 3rd conference on Computing frontiers
Spin Detection Hardware for Improved Management of Multithreaded Systems
IEEE Transactions on Parallel and Distributed Systems
ATEC '99 Proceedings of the annual conference on USENIX Annual Technical Conference
Efficient operating system scheduling for performance-asymmetric multi-core architectures
Proceedings of the 2007 ACM/IEEE conference on Supercomputing
Variation-Aware Application Scheduling and Power Management for Chip Multiprocessors
ISCA '08 Proceedings of the 35th Annual International Symposium on Computer Architecture
Amdahl's Law in the Multicore Era
Computer
The PARSEC benchmark suite: characterization and architectural implications
Proceedings of the 17th international conference on Parallel architectures and compilation techniques
Accelerating critical section execution with asymmetric multi-core architectures
Proceedings of the 14th international conference on Architectural support for programming languages and operating systems
HASS: a scheduler for heterogeneous multicore systems
ACM SIGOPS Operating Systems Review
A comprehensive scheduler for asymmetric multicore systems
Proceedings of the 5th European conference on Computer systems
AASH: an asymmetry-aware scheduler for hypervisors
Proceedings of the 6th ACM SIGPLAN/SIGOPS international conference on Virtual execution environments
AKULA: a toolset for experimenting and developing thread placement algorithms on multicore systems
Proceedings of the 19th international conference on Parallel architectures and compilation techniques
Journal of Parallel and Distributed Computing
Efficient interaction between OS and architecture in heterogeneous platforms
ACM SIGOPS Operating Systems Review
Virtualizing performance asymmetric multi-core systems
Proceedings of the 38th annual international symposium on Computer architecture
ACM Transactions on Computer Systems (TOCS)
Adaptive workload-aware task scheduling for single-ISA asymmetric multicore architectures
ACM Transactions on Architecture and Code Optimization (TACO)
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Asymmetric multicore processors (AMP) promise higher performance per watt than their symmetric counterparts, and it is likely that future processors will integrate a few fast out-of-order cores, coupled with a large number of simpler, slow cores, all exposing the same instruction-set architecture (ISA). It is well known that one of the most effective ways to leverage the effectiveness of these systems is to use fast cores to accelerate sequential phases of parallel applications, and to use slow cores for running parallel phases. At the same time, we are not aware of any implementation of this parallelism-aware (PA) scheduling policy in an operating system. So the questions as to whether this policy can be delivered efficiently by the operating system to unmodified applications, and what the associated overheads are remain open. To answer these questions we created two different implementations of the PA policy in OpenSolaris and evaluated it on real hardware, where asymmetry was emulated via CPU frequency scaling. This paper reports our findings with regard to benefits and drawbacks of this scheduling policy.