2,708 research outputs found
MERIC and RADAR generator: tools for energy evaluation and runtime tuning of HPC applications
This paper introduces two tools for manual energy evaluation and runtime tuning developed at IT4Innovations in the READEX project. The MERIC library can be used for manual instrumentation and analysis of any application from the energy and time consumption point of view. Besides tracing, MERIC can also change environment and hardware parameters during the application runtime, which leads to energy savings.
MERIC stores large amounts of data, which are difficult to read by a human. The RADAR generator analyses the MERIC output files to find the best settings of evaluated parameters for each instrumented region. It generates a Open image in new window report and a MERIC configuration file for application production runs
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Automation of Determination of Optimal Intra-Compute Node Parallelism
Maximizing the productivity of modern multicore and manycore chips requires optimizing parallelism at the compute node level. This is, however, a complex multi-step process. It is an iterative method requiring determining optimal degrees of parallel scalability and optimizing memory access behavior. Further, there are multiple cases to be considered, programs which use only MPI or OpenMP and hybrid (MPI +OpenMP) programs. This paper presents a set of three coordinated workflows for determining the optimal parallelism at the program level for MPI programs and at the loop level for hybrid (MPI+OpenMP) cases. The paper also details mostly automated implementations of these workflows using the PerfExpert infrastructure. Finally the paper presents case studies demonstrating both the applicability and the effectiveness of optimizing parallelism at the compute node level. The results shown in the paper will provide valuable information to further advance in the full automation of the workflows. The software implementing the parallelism scalability optimization is open source and available for download.Texas Advanced Computing Center (TACC)Computer Science
A direct comparison of high-speed methods for the numerical Abel transform
The Abel transform is a mathematical operation that transforms a
cylindrically symmetric three-dimensional (3D) object into its two-dimensional
(2D) projection. The inverse Abel transform reconstructs the 3D object from the
2D projection. Abel transforms have wide application across numerous fields of
science, especially chemical physics, astronomy, and the study of laser-plasma
plumes. Consequently, many numerical methods for the Abel transform have been
developed, which makes it challenging to select the ideal method for a specific
application. In this work eight transform methods have been incorporated into a
single, open-source Python software package (PyAbel) to provide a direct
comparison of the capabilities, advantages, and relative computational
efficiency of each transform method. Most of the tested methods provide
similar, high-quality results. However, the computational efficiency varies
across several orders of magnitude. By optimizing the algorithms, we find that
some transform methods are sufficiently fast to transform 1-megapixel images at
more than 100 frames per second on a desktop personal computer. In addition, we
demonstrate the transform of gigapixel images.Comment: 9 pages, 5 figure
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