Advanced programming in the UNIX environment
Advanced programming in the UNIX environment
Performance comparison of MPI and three openMP programming styles on shared memory multiprocessors
Proceedings of the fifteenth annual ACM symposium on Parallel algorithms and architectures
Analysis of dynamic voltage/frequency scaling in chip-multiprocessors
ISLPED '07 Proceedings of the 2007 international symposium on Low power electronics and design
Larrabee: a many-core x86 architecture for visual computing
ACM SIGGRAPH 2008 papers
Efficient and scalable multiprocessor fair scheduling using distributed weighted round-robin
Proceedings of the 14th ACM SIGPLAN symposium on Principles and practice of parallel programming
Evaluation of OpenMP task scheduling strategies
IWOMP'08 Proceedings of the 4th international conference on OpenMP in a new era of parallelism
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Multi-core multi-processor machines provide parallelism at multiple levels, including CPUs, cores and hardware multithreading. Elements at each level in this hierarchy potentially exhibit heterogeneous memory access latencies. Due to these issues and the high degree of hardware parallelism, existing OpenMP applications often fail to use the whole system effectively. To increase throughput and decrease power consumption of OpenMP systems employed in HPC settings we propose and implement process-level scheduling of OpenMP parallel regions. We present a number of scheduling optimizations based on system topology information, and evaluate their effectiveness in terms of metrics calculated in simulations as well as experimentally obtained performance and power consumption results. On 32 core machines our methods achieve performance improvements of up to 33% as compared to standard OS-level scheduling, and reduce power consumption by an average of 12% for long-term tests.