BEGIN:VCALENDAR VERSION:2.0 PRODID:Linklings LLC BEGIN:VTIMEZONE TZID:America/New_York X-LIC-LOCATION:America/New_York BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:19700308T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:19701101T020000 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20250626T234544Z LOCATION:B301 DTSTART;TZID=America/New_York:20241119T100000 DTEND;TZID=America/New_York:20241119T170000 UID:submissions.supercomputing.org_SC24_sess553@linklings.com SUMMARY:Art of HPC Display DESCRIPTION:Challenges of Finding Cyber Attacks and Remediating Network Is sues\n\nThe packets were captured at a network border of 400 Gbps links. T he raw packet data were preprocessed in Python to generate bipartite (pair -wise) TCP connections. Gephi put the TCP connections in a graph and visua lized them. The original picture was 16K resolution (15360 × 8640), contai ning a snaps...\n\n\nPhuong Cao (National Center for Supercomputing Applic ations (NCSA))\n---------------------\nCurrents in the Gulf\n\nThe data is processed in ParaView and then transferred to Artifact-Based Rendering, a custom-built visualization system designed for artists that enables one t o apply custom artifacts to large multivariate volumetric data. Details ab out Artifact-Based Rendering can be found at www.sculpting-vis.org....\n\n \nFrancesca Samsel and Gregory Abram (Texas Advanced Computing Center (TAC C), The University of Texas at Austin)\n---------------------\nConnections in Rotation\n\nThe image is generated wholly from code written in Python (version 3.11.5) using the visualization library Matplotlib (version 3.8.3 ) to programmatically and procedurally define the design. This underlying code has, along with the generated output design, been open-sourced under the CC BY 4.0 licens...\n\n\nSadie Bartholomew (National Centre for Atmosp heric Science (NCAS), UK; University of Reading, England)\n--------------- ------\nImpressions of PIConGPU Using Watercolors\n\nThe image was painted using Arteza watercolors and brushes on a cold-pressed watercolor paper, and was captured and uploaded via an iPhone.\n\n\nSunita Chandrasekaran (U niversity of Delaware)\n---------------------\nComplex Plasma Crystal Rose \n\nThe simulation was written in C/C++ and CUDA. The computationally inte nsive portions of the code were offloaded to NVIDIA GPUs for acceleration. The graphics were rendered using OpenGL.\n\n\nBryant Wyatt (Tarleton Stat e University Department of Mathematics; The Center for Astrophysics, Space Physics, and Engineering Research (CASPER) at Baylor University); Zachary Watson (Tarleton State University Department of Mathematics); and Parker Adamson, Calvin Carmichael, Katrina Vermillion, Jorge Martinez-Ortiz, Lori n Mathews, and Truell Hyde (The Center for Astrophysics, Space Physics, an d Engineering Research (CASPER) at Baylor University)\n------------------- --\nThe Heart of HPC\n\nThis image was created using a Canon EOS 7, a Goog le Pixel phone, Adobe Photoshop, Adobe Premiere, NCAR stock video, and Thi ngLink.\n\n\nKayla Lyday and Summer Wasson (National Center for Atmospheri c Research (NCAR))\n---------------------\nHPC Creates Community: Women in HPC\n\nThis image was created utilising publicly available photography fr om the SC21, SC22, and SC23 workshops and networking events. Images were d igitally cut and arranged utilising Canva with additional graphics support made in Adobe Illustrator.\n\n\nCristin Merritt (Alces Flight Ltd, UK; Al ces Software Ltd, UK) and Jonathan Poole (Purdue University, Rosen Center for Advanced Computing)\n---------------------\nArctic Wind Paintings\n\nT he data used comes from E3SM-MPAS, a global climate model run at Los Alamo s National Laboratory. ParaView, an open-source scientific visualization s ystem, was used to transform the raw data to renderable geometry. Artifact -Based Rendering (www.sculpting-vis.org), a research system developed by a co...\n\n\nFrancesca Samsel and Gregory Abram (The University of Texas at Austin, Texas Advanced Computing Center (TACC))\n---------------------\nC ollatz Residuals\n\nThe image is generated wholly from code written in Pyt hon (version 3.11.5) using the visualization library "matplotlib" (version 3.8.3) to programmatically and procedurally define the design. This under lying code has, along with the generated output design, been open-sourced under the CC BY 4.0 lice...\n\n\nSadie Bartholomew (National Centre for At mospheric Science (NCAS), UK; University of Reading, England)\n----------- ----------\nEnhancing Brain Flow Visualization\n\nThe visualization pipeli ne was developed to process the IFF data using ParaView. A blend between s urfacic approximation and volumetric multi-scattering was used to generate the two volumes of the brain and the tumor. The particles passed through the voxels of interest that were represented as sphere...\n\n\nAyat Mohamm ed, Ben Sandbrook, and Nicholas Polys (Virginia Tech) and Jessica Cunningh am (Fralin Biomedical Research Institute)\n---------------------\nVisualiz ation of a CM1 Cloud Simulation\n\nThe simulation data was generated from a three-hour simulation at 7.5 m grid-spacing (domain size of 10 km x 10 k m x 8 km) of a precipitating cumulus congestus cloud using Cloud Model 1 ( CM1) with Lagrangian microphysics on NSF NCAR's Derecho supercomputer. Mod el output, in the form of NetCDF files,...\n\n\nMatt Rehme, Hugh Morrison, and Kamal Kant Chandrakar (National Center for Atmospheric Research (NCAR ))\n---------------------\nBlood Flow through a Microaneurysm\n\nWe used t he Coreform Cubit software to create an Exodus-II tri-mesh with 11,196 poi nts for the blood vessel walls. Red blood cells are placed randomly within the mesh bounds, and then the algorithm from RBC3D, a spectral boundary i ntegral solver for cell-scale flows, initiates Stokes flow through th...\n \n\nSuzan Manasreh and Spencer Bryngelson (Georgia Institute of Technology )\n---------------------\nUndulations in Rotation\n\nThe image is generate d wholly from code written in Python (version 3.11.5) using the visualizat ion library "matplotlib" (version 3.8.3) to programmatically and procedura lly define the design. This underlying code has, along with the generated output design, been open-sourced under the CC BY 4.0 lice...\n\n\nSadie Ba rtholomew (National Centre for Atmospheric Science (NCAS), UK; University of Reading, England)\n---------------------\nSunset on Wind Turbines\n\nTh e two CFD simulations to compute the wake from the wind turbines were perf ormed using the high-order finite-difference flow solver XCompact3D (https ://www.incompact3d.com). The simulations were run on ARCHER2, the UK's nat ional HPC service (https://www.archer2.ac.uk). A precursor simulation was ru...\n\n\nSébastien Lemaire (EPCC, The University of Edinburgh); Andrew M ole (Imperial College, London); and Michèle Weiland (EPCC, The University of Edinburgh)\n---------------------\nVirtual Expedition through the Ice o f Greenland's Glaciers\n\nThis analysis requires a large amount of raw dat a: detailed models of the 3D topography of the sea floor, satellite imager y to monitor glacier change over time, and physical samples of the ice and sediment. These datasets need to be mapped to a single consistent geograp hic framework for comparison. ...\n\n\nThomas Ybarra, Justice Warren, Fran cesca Samsel, Greg Abram, Anne Bowen, and Jo Wozniak (Texas Advanced Compu ting Center (TACC), The University of Texas at Austin)\n------------------ ---\nPreparing to Battle Cancer at the Exascale\n\nSimulation data was com puted on resources of the Argonne Leadership Computing Facility, and rende red using ParaView. No ML tools were leveraged in the rendering.\n\n\nJose ph A. Insley (Argonne National Laboratory (ANL), Northern Illinois Univers ity); Amanda Randles, Aristotle Martin, and Ayman Yousef (Duke University) ; and Geng Liu, Saumil Patel, Silvio Rizzi, Victor Mateevitsi, Janet Knowl es, and Michael Papka (Argonne National Laboratory (ANL))\n--------------- ------\nNCSA Delta Wrap Design\n\nThe design was created with Adobe Creati ve Suite and purchased design assets from iStock. It was designed by NCSA staff with no AI or ML use.\n\n\nMeg Severson (National Center for Superco mputing Applications (NCSA))\n---------------------\nBirth of a Neutron St ar from a 25-Solar-Mass Star\n\nSimulation data was computed on resources of the Argonne Leadership Computing Facility, and rendered using ParaView. No ML tools were leveraged in the rendering.\n\n\nJoseph A. Insley (Argon ne National Laboratory (ANL), Northern Illinois University); Adam Burrows (Princeton University); and Silvio Rizzi, Victor Mateevitsi, Janet Knowles , and Michael Papka (Argonne National Laboratory (ANL))\n----------------- ----\nLearning from the Sky Using the Hardware/Hybrid Accelerated Cosmolog y Code (HACC)\n\nThe image was created using ParaView, from data computed on the Aurora supercomputer by the HACC collaboration.\n\n\nSilvio Rizzi, Joseph Insley, Janet Knowles, Victor Mateevitsi, Michael E. Papka, Esteban Rangel, Michael Buehlmann, JD Emberson, Nicholas Frontiere, Salman Habib, Katrin Heitmann, Patricia Larsen, Vitali Morozov, Adrian Pope, and Thomas Uram (Argonne National Laboratory (ANL))\n---------------------\nCarbon C atcher\n\nUsing GFlowNets, we generate porous reticular materials, such as Metal-Organic Frameworks and Covalent Organic Frameworks, for application s in carbon dioxide capture. We introduce a new Python package (matgfn) to train and sample GFlowNets. We use matgfn to generate the matgfn-rm datas et of novel an...\n\n\nKelly Hanifin (Hartree Centre, Science and Technolo gy Facilities Council (STFC), UK)\n---------------------\nNCSA Granite Wra p Design\n\nCreated with Adobe Creative Suite and purchased design assets from iStock. Designed by NCSA staff. No AI or ML use.\n\n\nMeg Severson (N ational Center for Supercomputing Applications (NCSA))\n------------------ ---\nMagnetized Bipolar Jet\n\nThe simulation data was produced using the AthenaPK code (https://github.com/parthenon-hpc-lab/athenapk) using the Fr ontier supercomputer at the Oak Ridge Leadership Computing Facility (OLCF) . The data is a time snapshot from the AthenaPK simulation of a galaxy clu ster with a virial mass of ~6.6e14 ...\n\n\nMichael Sandoval (Oak Ridge Na tional Laboratory (ORNL)); Forrest Glines (NVIDIA Corporation); Philipp Gr ete (University of Hamburg, Germany); Benjamin Wibking (Michigan State Uni versity); Deovrat Prasad (Cardiff University); and Brian O'Shea (Michigan State University)\n---------------------\nCollatz Kaleidoscope\n\nThe imag e is generated wholly from code written in Python (version 3.11.5) using t he visualization library Matplotlib (version 3.8.3) to programmatically an d procedurally define the design. This underlying code has, along with the generated output design, been open-sourced under the CC BY 4.0 licens...\ n\n\nSadie Bartholomew (National Centre for Atmospheric Science (NCAS), UK ; University of Reading, England)\n---------------------\nComplexity Revea led\n\nThe coronal calculation was performed with the open source POT3D co de (github.com/predsci/pot3d) using high-resolution surface magnetic field observations from the Helioseismic and Magnetic Imager as a lower boundar y condition. The solution was computed on the Stampede2 supercomputer at t he Texas Ad...\n\n\nRonald Caplan and Cooper Downs (Predictive Science Inc .)\n---------------------\nCosmic Breeze\n\nThis animation consists of thr ee primary elements. The first is the evolving render of the 3D structure of the coronal magnetic field. It is created from 776 sequences from the “ Live Prediction” HPC simulation developed by Predictive Science Inc. as pa rt of their scientific research and ...\n\n\nCooper Downs and Ronald Capla n (Predictive Science Inc.)\n---------------------\nInvestigating Clusteri ng Behavior in Fuels\n\nSimulation data was computed on resources of the A rgonne Leadership Computing Facility, and rendered using the VMD software package. No ML tools were leveraged in the rendering.\n\n\nJoseph A. Insle y (Argonne National Laboratory (ANL), Northern Illinois University); Suman Chakraborty (University of Illinois Chicago); Subramanian Sankaranarayana n (University of Illinois Chicago, Argonne National Laboratory (ANL)); Sil vio Rizzi, Victor Mateevitsi, and Janet Knowles (Argonne National Laborato ry (ANL)); and Michael Papka (Argonne National Laboratory (ANL), Universit y of Illinois Chicago)\n---------------------\nDestroy!\n\nThis image was created on the Ohio Supercomputer Center’s Pitzer cluster using Stable Dif fusion Automatic1111 (open source) using SD-XL checkpoint with the followi ng parameters and prompt: "Destruction, (one artist:1.3) pulling strings f rom walls, war, dark, good quality, masterpiece"; negativ...\n\n\nBasil Ma sri Zada (Ohio University, Ohio Supercomputer Center)\n------------------- --\n48 Hours of Kestrel Jobs\n\nThis artifact was created with Pandas, Mat plotlib, and NetworkX. Data was gathered from the Kestrel cluster at the N ational Renewable Energy Laboratory with Slurm via the sacct and sinfo com mands.\n\n\nKevin Menear (National Renewable Energy Laboratory (NREL)); Co nnor Scully-Allison (University of Utah, Scientific Computing and Imaging Institute (SCI); National Renewable Energy Laboratory (NREL)); and Kristi Potter and Dmitry Duplyakin (National Renewable Energy Laboratory (NREL))\ n---------------------\n"What's Going On in There?" A View into NREL's Kes trel Supercomputer\n\nThe recorded visualization was built with JavaScript using the D3 and Anime.js libraries. Historical run data from the Kestrel supercomputer was queried using SQL from NREL's internal sys admin databa se and bundled into a JSON file for use by the JavaScript code. The JSON f ile was organized by minut...\n\n\nConnor Scully-Allison (University of Ut ah, Scientific Computing and Imaging Institute (SCI); National Renewable E nergy Laboratory (NREL)) and Kevin Menear and Dmitry Duplyakin (National R enewable Energy Laboratory (NREL))\n\nRegistration Category: Tech Program Reg Pass, Workshop Reg Pass, Tutorial Reg Pass, Exhibits Reg Pass END:VEVENT END:VCALENDAR