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Burlen Loring
Burlen is a High Performance Computing software architect who is passionate about developing high performance, scalable, scientific and numerical codes for use on the latest cutting edge HPC systems. Burlen has extensive experience programming GPUs and optimizing and parallelizing scientific and numerical algorithms on the worlds most powerful supercomputers and specifically the Cray systems at the US Department of Energy (DOE) NERSC and LBL. Burlen has led the engineering teams of a number of successful, multi-developer, multi-institutional software projects including the TECA Toolkit for Extreme Climate Analytics and the SENSEI in situ framework. Burlen has made substantial contributions to several large, open source, DOE funded projects including VTK, ParaView and VisIt.
Journal Articles
MF Wehner, KA Reed, B Loring, D Stone, H Krishnan, "Changes in tropical cyclones under stabilized 1.5 and 2.0°C global warming scenarios as simulated by the Community Atmospheric Model under the HAPPI protocols", Earth System Dynamics, 2018, 9:187--195, doi: 10.5194/esd-9-187-2018
O Rübel, B Loring, JL Vay, DP Grote, R Lehe, S Bulanov, H Vincenti, EW Bethel, "WarpIV: In Situ Visualization and Analysis of Ion Accelerator Simulations", IEEE Computer Graphics and Applications, 2016, 36:22--35, doi: 10.1109/MCG.2016.62
H Karimabadi, V Roytershteyn, HX Vu, YA Omelchenko, J Scudder, W Daughton, A Dimmock, K Nykyri, M Wan, D Sibeck, M Tatineni, A Majumdar, B Loring, B Geveci, "The link between shocks, turbulence, and magnetic reconnection in collisionless plasmas", Physics of Plasmas, 2014, 21, doi: 10.1063/1.4882875
W Daughton, TKM Nakamura, H Karimabadi, V Roytershteyn, B Loring, "Computing the reconnection rate in turbulent kinetic layers by using electron mixing to identify topology", Physics of Plasmas, 2014, 21, doi: 10.1063/1.4875730
H Karimabadi, V Roytershteyn, M Wan, WH Matthaeus, W Daughton, P Wu, M Shay, B Loring, J Borovsky, E Leonardis, SC Chapman, TKM Nakamura, "Coherent structures, intermittent turbulence, and dissipation in high-temperature plasmas", Physics of Plasmas, 2013, 20, doi: 10.1063/1.4773205
M Wan, WH Matthaeus, H Karimabadi, V Roytershteyn, M Shay, P Wu, W Daughton, B Loring, SC Chapman, "Intermittent dissipation at kinetic scales in collisionless plasma turbulence", Physical Review Letters, 2012, 109, doi: 10.1103/PhysRevLett.109.195001
Conference Papers
Junmin Gu, Burlen Loring, Kesheng Wu, E Wes Bethel, "HDF5 as a vehicle for in transit data movement", Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2019, 39--43,
B Loring, A Myers, D Camp, EW Bethel, "Python-based in situ analysis and visualization", Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization - ISAV 18, ACM Press, 2018, doi: 10.1145/3281464.3281465
U Ayachit, B Whitlock, M Wolf, B Loring, B Geveci, D Lonie, EW Bethel, "The SENSEI generic in situ interface", Proceedings of ISAV 2016: 2nd Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization - Held in conjunction with SC 2016: The International Conference for High Performance Computing, Networking, Storage and Analysis, 2017, 40--44, doi: 10.1109/ISAV.2016.13
Utkarsh Ayachit, Andrew Bauer, Earl PN Duque, Greg Eisenhauer, Nicola Ferrier, Junmin Gu, Kenneth E Jansen, Burlen Loring, Zarija Lukic, Suresh Menon, others, "Performance analysis, design considerations, and applications of extreme-scale in situ infrastructures", SC 16: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2016, 921--932, LBNL 1007264,
M Alegro, E Amaro, B Loring, H Heinsen, E Alho, L Zollei, D Ushizima, LT Grinberg, "Multimodal Whole Brain Registration: MRI and High Resolution Histology", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2016, 634--642, doi: 10.1109/CVPRW.2016.85
B Loring, H Karimabadi, V Rortershteyn, "A Screen Space GPGPU Surface LIC Algorithm for Distributed Memory Data Parallel Sort Last Rendering Infrastructures", NUMERICAL MODELING OF SPACE PLASMA FLOWS: ASTRONUM-2014, 2015, 498:231--239,
D Ushizima, T Perciano, H Krishnan, B Loring, H Bale, D Parkinson, J Sethian, "Structure recognition from high resolution images of ceramic composites", Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014, 2014, 683--691, doi: 10.1109/BigData.2014.7004292
H Karimabadi, B Loring, P O leary, A Majumdar, M Tatineni, B Geveci, "In-situ visualization for global hybrid simulations", ACM International Conference Proceeding Series, 2013, doi: 10.1145/2484762.2484822
Mehmet Balman, Eric Pouyoul, Yushu Yao, E. Wes Bethel, Burlen Loring, Prabhat, John Shalf, Alex Sim, and Brian L. Tierney, "Experiences with 100G Network Applications", In Proceedings of the Fifth international Workshop on Data-intensive Distributed Computing, in conjunction with ACM High Performance Distributing Computing (HPDC) Conference, 2012, Delft, Netherlands, June 2012, LBNL 5603E, doi: 10.1145/2286996.2287004
- Download File: didc-report.pdf (pdf: 11 MB)
100Gbps networking has finally arrived, and many research and educational in- stitutions have begun to deploy 100Gbps routers and services. ESnet and Internet2 worked together to make 100Gbps networks available to researchers at the Super- computing 2011 conference in Seattle Washington. In this paper, we describe two of the first applications to take advantage of this network. We demonstrate a visu- alization application that enables remotely located scientists to gain insights from large datasets. We also demonstrate climate data movement and analysis over the 100Gbps network. We describe a number of application design issues and host tuning strategies necessary for enabling applications to scale to 100Gbps rates.
