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Computational Characteristics of Production Seismic Migration and its Performance on Novel Processor Architectures

Jairo Panetta, Paulo R. P. de Souza Filho, Carlos A. da Cunha Filho, Fernando M. Roxo da Motta, Silvio Sinedino Pinheiro, Ivan Pedr, Andre L. Romanelli Rosa, Luiz R. Monnerat, Leandro T. Carneiro, Carlos H.B. de Albrecht
2007 19th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD'07)  
We describe the computational characteristics of the Kirchhoff prestack seismic migration currently used in daily production runs at Petrobras and its port to novel architectures.  ...  Production load comprises thousands of jobs per year, consuming the installed park of a few thousand x86 CPU cores, with top production runs continuously using up to 1000 dedicated processors during 20  ...  The authors gratefully acknowledge the continuous support of AMD, Intel and IBM, including the early availability of prototype boards for performance measures.  ... 
doi:10.1109/sbac-pad.2007.13 fatcat:wqv5evdtwravleckt4skqcondu

Hardware/software co-design for energy-efficient seismic modeling

Jens Krueger, David Donofrio, John Shalf, Marghoob Mohiyuddin, Samuel Williams, Leonid Oliker, Franz-Josef Pfreund
2011 Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis on - SC '11  
In this work, we compare the performance and energy efficiency of three architectural alternatives -the Intel Nehalem X5530 multicore processor, the NVIDIA Tesla C2050 GPU, and a general-purpose manycore  ...  We have developed an FPGA-accelerated architectural simulation platform to accurately model the power and performance of the Green Wave design.  ...  We also thank Marty Deneroff who has provided a lot of advice and expertise on system design trade-offs and cost models for practical implementation.  ... 
doi:10.1145/2063384.2063482 dblp:conf/sc/KruegerDSMWOP11 fatcat:o2e6edp2ybcaxb6z3bs5wrovji

Enhancing Energy Production with Exascale HPC Methods [chapter]

Rafael Mayo-García, José J. Camata, José M. Cela, Danilo Costa, Alvaro L. G. A. Coutinho, Daniel Fernández-Galisteo, Carmen Jiménez, Vadim Kourdioumov, Marta Mattoso, Thomas Miras, José A. Moríñigo, Jorge Navarro (+6 others)
2017 Communications in Computer and Information Science  
In this step beyond, an explosion on the available parallelism and the use of special purpose processors are crucial.  ...  High Performance Computing (HPC) resources have become the key actor for achieving more ambitious challenges in many disciplines.  ...  Computer time on Endeavour cluster is provided by the Intel Corporation, which enabled us to obtain the presented experimental results in uncertainty quantification in seismic imaging  ... 
doi:10.1007/978-3-319-57972-6_17 fatcat:42bf2enjcbe6dcn2kzdeo2dfvm

ATIP/A*CRC Workshop on Accelerator Technologies for High-Performance Computing: Does Asia Lead the Way? Programme Handbook [article]

Michalewicz Marek, Kahaner David
2012 Zenodo  
It is an opportune time to analyze the current state-ofthe- art accelerated HPC architectures from an Asian perspective and experience, including practical issues of use, code development, and performance  ...  Information Program (ATIP) and the Agency for Science, Technology and Research (A*STAR) Computational Resource Centre (A*CRC), this workshop in Singapore focus on the practical aspects of scientific and  ...  I will present OIST's existing data infrastructure and show new performance results for various file system options on this and newer hardware.  ... 
doi:10.5281/zenodo.3977457 fatcat:v2aftckqinasxk5ugdw27vinpa

Addressing the Complexity of HPC in the Cloud: Emergence, Self-Organisation, Self-Management, and the Separation of Concerns [chapter]

Theo Lynn
2018 Heterogeneity, High Performance Computing, Self-Organization and the Cloud  
It discusses how heterogeneous computing and the concepts of self-organisation, selfmanagement, and separation of concerns can be used to inform novel cloud architecture designs and support HPC in the  ...  High performance computing (HPC) is a particular segment of the IT market that provides significant technical challenges for cloud service providers and exemplifies many of the challenges facing cloud  ...  and performance characteristics between co-processors (Teodoro et al. 2014) .  ... 
doi:10.1007/978-3-319-76038-4_1 fatcat:mghwrgbdingxbmzz7fbsvlnrfq

Toward petascale earthquake simulations

Yifeng Cui, Reagan Moore, Kim Olsen, Amit Chourasia, Philip Maechling, Bernard Minster, Steven Day, Yuanfang Hu, Jing Zhu, Thomas Jordan
2008 Acta Geotechnica  
Earthquakes are among the most complex terrestrial phenomena, and modeling of earthquake dynamics is one of the most challenging computational problems in science.  ...  In this paper, we describe how we performed single-processor optimization of the TeraShake AWM application, optimization of the I/O handling, and optimization of initialization.  ...  grateful for the editor and reviewers who spent time and effort in reviewing and commenting on this paper, in particular comments by Martin Mai to improve the manuscript.  ... 
doi:10.1007/s11440-008-0055-2 fatcat:l4apm7zofvbf5fi35medwnscru

Asynchronous Task-Based Execution of the Reverse Time Migration for the Oil and Gas Industry

A. AlOnazi, H. Ltaief, D. Keyes, I. Said, S. Thibault
2019 2019 IEEE International Conference on Cluster Computing (CLUSTER)  
We consider how to span the wide performance gap between the two extreme ends of the memory system, i.e., GPU memory and fast storage, on which large-scale RTM simulations routinely execute.  ...  RTM is challenging in that it operates intensively at both ends of the memory hierarchy, with compute kernels running at the highest level of the memory system, possibly in GPU main memory, while I/O kernels  ...  Rio Yokota of Tokyo Institute of Technology, Japan for their assistance with the runs on Summit and Tsubame 3.0, respectively. We are also grateful to Dr.  ... 
doi:10.1109/cluster.2019.8891054 dblp:conf/cluster/AlOnaziLKST19 fatcat:2jxvds5kbvgmvghw4jows675ee

ExSeisDat: A set of parallel I/O and workflow libraries for petroleum seismology

Meghan A. Fisher, Pádraig Ó. Conbhuí, Cathal Ó. Brion, Jean-Thomas Acquaviva, Seán Delaney, Gareth S. O'Brien, Steven Dagg, James Coomer, Ruairi Short, A. Anciaux-Sedrakian, Q. H. Tran
2018 Oil & Gas Science and Technology  
Operations in ExSeis-Flow focus on prestack processing and can be performed on single traces, individual gathers, and across entire surveys, including out of core sorting, binning, filtering, and transforming  ...  Seismic data-sets are extremely large and are broken into data files, ranging in size from 100s of GiBs to 10s of TiBs and larger.  ...  This work was supported, in part, by Science Foundation Ireland grant 13/RC/2094 and co-funded under the European Regional Development Fund through the Southern & Eastern Regional Operational Programme  ... 
doi:10.2516/ogst/2018048 fatcat:fuzox6l66va5zkd235hboev2ti

GPU technology applied to reverse time migration and seismic modeling via OpenACC

Ahmad Qawasmeh, Barbara Chapman, Maxime Hugues, Henri Calandra
2015 Proceedings of the Sixth International Workshop on Programming Models and Applications for Multicores and Manycores - PMAM '15  
Although we implement a hybrid OpenACC-MPI approach to parallelize seismic modeling and RTM on multiple GPUs, in this paper, we focus on developing mapping techniques to exploit potentials of one GPU.  ...  Depending on the intensity of computations, different propagators exhibit different speedup behaviors.  ...  We would also like to thank Sunita Chandrasekaran from the HPCTools group at University of Houston for her feedback on the paper. Many thanks go to TOTAL for providing the computing resources.  ... 
doi:10.1145/2712386.2712401 dblp:conf/ppopp/QawasmehCHC15 fatcat:bvb257wfc5a7ni5k3hqtggmokq

HPC Processors Benchmarking Assessment for Global System Science Applications

2019 Supercomputing Frontiers and Innovations  
Results of the tests that have been run on a number of recently appeared HPC platforms allow comparing processors' architectures with respect to different applications using execution times, TDPs 3 and  ...  CoeGSS project provides a computer-aided decision support in the face of global challenges (e.g. development of energy, water and food supply systems, urbanisation processes and growth of the cities, pandemic  ...  Acknowledgements This work has been supported by the CoeGSS (Centre of Excellence for Global System Science) project and has been partly funded by the European Commission's ICT activity of the H2020 Programme  ... 
doi:10.14529/jsfi190202 fatcat:xrwgzrqdhbbntaqjmfcywna7tu

D5.1: Market and Technology Watch Report Year 1

Jean-Philippe Nominé
2016 Zenodo  
This deliverable is the first one of PRACE-4IP Work Package 5 Task 1, it corresponds to a periodic annual update on technology and market trends.  ...  It is thus the continuation of a well-established effort, using assessment of the HPC market based on market surveys, supercomputing conferences, and exchanges with vendors and between experts involved  ...  In the latest Top500 list, this processor architecture is 5% of performance share and best ranks #4 on Top500 November 2015 list and #1 in Graph500 with K-computer.  ... 
doi:10.5281/zenodo.6801690 fatcat:zpnjoenqkvb2te74rvci326vba

Fostering Collaboration in Energy Research and Technological Developments Applying New Exascale HPC Techniques

Jose Maria Cela, Philippe O. A. Navaux, Alvaro L. G. A. Coutinho, Rafael Mayo-Garcia
2016 2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid)  
During the last years, High Performance Computing (HPC) resources have undergone a dramatic transformation, with an explosion on the available parallelism and the use of special purpose processors.  ...  simulations for different energy sources that are the present and the future of energy: wind energy production and design, efficient combustion systems for biomass-derived fuels (biogas), and exploration  ...  ACKNOWLEDGMENT The research leading to these results has received funding from the European Union's Horizon 2020 Programme (2014-2020) and from Brazilian Ministry of Science, Technology and Innovation  ... 
doi:10.1109/ccgrid.2016.51 dblp:conf/ccgrid/CelaNCG16 fatcat:l3jk6bs3bba3javr6mddp65gfm

Acceleration of stochastic seismic inversion in OpenCL-based heterogeneous platforms

Tomás Ferreirinha, Rúben Nunes, Leonardo Azevedo, Amílcar Soares, Frederico Pratas, Pedro Tomás, Nuno Roma
2015 Computers & Geosciences  
Seismic inversion is an established approach to model the geophysical characteristics of oil and gas reservoirs, being one of the basis of the decision making process in the oil&gas exploration industry  ...  To overcome this issue and to allow the development of larger and higher resolution elastic models of the subsurface, a novel parallelization approach is herein proposed targeting the exploitation of GPU-based  ...  Introduction In the last few decades, high-performance computing infrastructures have become essential tools in the oil and gas industry, in order to satisfy the ever growing needs for oil and gas production  ... 
doi:10.1016/j.cageo.2015.02.005 fatcat:pmtkxxms6fcxrfi3poq5yf2ire

Preface: Summit and Sierra Supercomputers

Jaime H. Moreno, Yoonho Park
2020 IBM Journal of Research and Development  
The article details the hardware and software architecture and performance of the Summit and Sierra networks, which are based on the same underlying technology but differ in their overall architecture,  ...  High-performance cold plates are used to directly water-cool all CPU and GPU processors with warm inlet water, and direct air-cooling for the approximately 15% of heat load generated by the lowest heat  ... 
doi:10.1147/jrd.2020.2976169 fatcat:f7r5b2awubej5lribdge4e64ea

A Loop-Based Methodology for Reducing Computational Redundancy in Workload Sets [article]

Elie M. Shaccour, Mohammad M. Mansour
2017 arXiv   pre-print
Processor performance, when running the workload set, is profiled using simulators that model the targeted processor architecture.  ...  The collected characteristics model memory behavior, computational complexity, and data structures of a program, and are used to construct a signature vector for each program.  ...  Since the workloads are simulated on the higher performance processor and there is a CPI drop between simulated processors, then results collected on the lower performing processor are expected to differ  ... 
arXiv:1801.00094v1 fatcat:togbmdrjlfcxdizmxqt6hycqdy
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