ICA3PP'11 Proceedings of the 11th international conference on Algorithms and architectures for parallel processing - Volume Part II
Light-Weight parallel i/o analysis at scale
EPEW'11 Proceedings of the 8th European conference on Computer Performance Engineering
Network-theoretic classification of parallel computation patterns
International Journal of High Performance Computing Applications
Concurrency and Computation: Practice & Experience
Wait-Free message passing protocol for non-coherent shared memory architectures
EuroMPI'12 Proceedings of the 19th European conference on Recent Advances in the Message Passing Interface
Multiclass classification of distributed memory parallel computations
Pattern Recognition Letters
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As supercomputers are being built from an ever increasing number of processing elements, the effort required to achieve a substantial fraction of the system peak performance is continuously growing. Tools are needed that give developers and computing center staff holistic indicators about the resource consumption of applications and potential performance pitfalls at scale. To use the full potential of a supercomputer today, applications must incorporate multilevel parallelism (threading and message passing) and carefully orchestrate file I/O. As a consequence, performance tools must also be able to monitor these system components in an integrated way and at the full machine scales. We present IPM, a modularized monitoring approach for MPI, Open MP, file I/O, and other event sources. We describe its implementation design principles, which are targeted for efficiency and minimal application perturbation, and present an application study of using IPM at scale.