Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Active harmony: towards automated performance tuning
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
A Power-Aware Run-Time System for High-Performance Computing
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
GRACE-1: Cross-Layer Adaptation for Multimedia Quality and Battery Energy
IEEE Transactions on Mobile Computing
Three-layer control policy for grid resource management
Journal of Network and Computer Applications
DataStager: scalable data staging services for petascale applications
Proceedings of the 18th ACM international symposium on High performance distributed computing
In Situ Visualization at Extreme Scale: Challenges and Opportunities
IEEE Computer Graphics and Applications
In Situ Visualization for Large-Scale Combustion Simulations
IEEE Computer Graphics and Applications
DataSpaces: an interaction and coordination framework for coupled simulation workflows
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
Moving the Code to the Data - Dynamic Code Deployment Using ActiveSpaces
IPDPS '11 Proceedings of the 2011 IEEE International Parallel & Distributed Processing Symposium
ISABELA-QA: query-driven analytics with ISABELA-compressed extreme-scale scientific data
Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis
Addressing the petascale data challenge using in-situ analytics
Proceedings of the 2nd international workshop on Petascal data analytics: challenges and opportunities
Enabling In-situ Execution of Coupled Scientific Workflow on Multi-core Platform
IPDPS '12 Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium
Combining in-situ and in-transit processing to enable extreme-scale scientific analysis
SC '12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
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As system scales and application complexity grow, managing and processing simulation data has become a significant challenge. While recent approaches based on data staging and in-situ/in-transit data processing are promising, dynamic data volumes and distributions, such as those occurring in AMR-based simulations, make the efficient use of these techniques challenging. In this paper we propose cross-layer adaptations that address these challenges and respond at runtime to dynamic data management requirements. Specifically we explore (1) adaptations of the spatial resolution at which the data is processed, (2) dynamic placement and scheduling of data processing kernels, and (3) dynamic allocation of in-transit resources. We also exploit coordinated approaches that dynamically combine these adaptations at the different layers. We evaluate the performance of our adaptive cross-layer management approach on the Intrepid IBM-BlueGene/P and Titan Cray-XK7 systems using Chombo-based AMR applications, and demonstrate its effectiveness in improving overall time-to-solution and increasing resource efficiency.