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:20260422T143141Z LOCATION:B301 DTSTART;TZID=America/New_York:20241120T100000 DTEND;TZID=America/New_York:20241120T170000 UID:submissions.supercomputing.org_SC24_sess554@linklings.com SUMMARY:Art of HPC Display DESCRIPTION:Cosmic Breeze\n\nThis animation consists of three primary elem ents. 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 part of their sci entific research and ...\n\n\nCooper Downs and Ronald Caplan (Predictive S cience Inc.)\n---------------------\nDestroy!\n\nThis image was created on the Ohio Supercomputer Center’s Pitzer cluster using Stable Diffusion Aut omatic1111 (open source) using SD-XL checkpoint with the following paramet ers and prompt: "Destruction, (one artist:1.3) pulling strings from walls, war, dark, good quality, masterpiece"; negativ...\n\n\nBasil Masri Zada ( Ohio University, Ohio Supercomputer Center)\n---------------------\nConnec tions in Rotation\n\nThe image is generated wholly from code written in Py thon (version 3.11.5) using the visualization library Matplotlib (version 3.8.3) to programmatically and procedurally define the design. This underl ying code has, along with the generated output design, been open-sourced u nder the CC BY 4.0 licens...\n\n\nSadie Bartholomew (National Centre for A tmospheric Science (NCAS), UK; University of Reading, England)\n---------- -----------\nNCSA Granite Wrap 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 (National Center for Supercomputing Application s (NCSA))\n---------------------\nChallenges of Finding Cyber Attacks and Remediating Network Issues\n\nThe packets were captured at a network borde r of 400 Gbps links. The raw packet data were preprocessed in Python to ge nerate bipartite (pair-wise) TCP connections. Gephi put the TCP connection s in a graph and visualized them. The original picture was 16K resolution (15360 × 8640), containing a snaps...\n\n\nPhuong Cao (National Center for Supercomputing Applications (NCSA))\n---------------------\nImpressions o f PIConGPU Using Watercolors\n\nThe image was painted using Arteza waterco lors and brushes on a cold-pressed watercolor paper, and was captured and uploaded via an iPhone.\n\n\nSunita Chandrasekaran (University of Delaware )\n---------------------\n"What's Going On in There?" A View into NREL's K estrel Supercomputer\n\nThe recorded visualization was built with JavaScri pt using the D3 and Anime.js libraries. Historical run data from the Kestr el supercomputer was queried using SQL from NREL's internal sys admin data base and bundled into a JSON file for use by the JavaScript code. The JSON file was organized by minut...\n\n\nConnor Scully-Allison (University of Utah, Scientific Computing and Imaging Institute (SCI); National Renewable Energy Laboratory (NREL)) and Kevin Menear and Dmitry Duplyakin (National Renewable Energy Laboratory (NREL))\n---------------------\nLearning from the Sky Using the Hardware/Hybrid Accelerated Cosmology Code (HACC)\n\nTh e image was created using ParaView, from data computed on the Aurora super computer by the HACC collaboration.\n\n\nSilvio Rizzi, Joseph Insley, Jane t Knowles, Victor Mateevitsi, Michael E. Papka, Esteban Rangel, Michael Bu ehlmann, JD Emberson, Nicholas Frontiere, Salman Habib, Katrin Heitmann, P atricia Larsen, Vitali Morozov, Adrian Pope, and Thomas Uram (Argonne Nati onal Laboratory (ANL))\n---------------------\nComplexity Revealed\n\nThe coronal calculation was performed with the open source POT3D code (github. com/predsci/pot3d) using high-resolution surface magnetic field observatio ns from the Helioseismic and Magnetic Imager as a lower boundary condition . The solution was computed on the Stampede2 supercomputer at the Texas Ad ...\n\n\nRonald Caplan and Cooper Downs (Predictive Science Inc.)\n------- --------------\nBirth of a Neutron Star from a 25-Solar-Mass Star\n\nSimul ation data was computed on resources of the Argonne Leadership Computing F acility, and rendered using ParaView. No ML tools were leveraged in the re ndering.\n\n\nJoseph A. Insley (Argonne National Laboratory (ANL), Norther n Illinois University); Adam Burrows (Princeton University); and Silvio Ri zzi, Victor Mateevitsi, Janet Knowles, and Michael Papka (Argonne National Laboratory (ANL))\n---------------------\n48 Hours of Kestrel Jobs\n\nThi s artifact was created with Pandas, Matplotlib, and NetworkX. Data was gat hered from the Kestrel cluster at the National Renewable Energy Laboratory with Slurm via the sacct and sinfo commands.\n\n\nKevin Menear (National Renewable Energy Laboratory (NREL)); Connor Scully-Allison (University of Utah, Scientific Computing and Imaging Institute (SCI); National Renewable Energy Laboratory (NREL)); and Kristi Potter and Dmitry Duplyakin (Nation al Renewable Energy Laboratory (NREL))\n---------------------\nVirtual Exp edition through the Ice of Greenland's Glaciers\n\nThis analysis requires a large amount of raw data: detailed models of the 3D topography of the se a floor, satellite imagery to monitor glacier change over time, and physic al samples of the ice and sediment. These datasets need to be mapped to a single consistent geographic framework for comparison. ...\n\n\nThomas Yba rra, Justice Warren, Francesca Samsel, Greg Abram, Anne Bowen, and Jo Wozn iak (Texas Advanced Computing Center (TACC), The University of Texas at Au stin)\n---------------------\nCurrents in the Gulf\n\nThe data is processe d in ParaView and then transferred to Artifact-Based Rendering, a custom-b uilt visualization system designed for artists that enables one to apply c ustom artifacts to large multivariate volumetric data. Details about Artif act-Based Rendering can be found at www.sculpting-vis.org....\n\n\nFrances ca Samsel and Gregory Abram (Texas Advanced Computing Center (TACC), The U niversity of Texas at Austin)\n---------------------\nMagnetized Bipolar J et\n\nThe simulation data was produced using the AthenaPK code (https://gi thub.com/parthenon-hpc-lab/athenapk) using the Frontier supercomputer at t he Oak Ridge Leadership Computing Facility (OLCF). The data is a time snap shot from the AthenaPK simulation of a galaxy cluster with a virial mass o f ~6.6e14 ...\n\n\nMichael Sandoval (Oak Ridge National Laboratory (ORNL)) ; Forrest Glines (NVIDIA Corporation); Philipp Grete (University of Hambur g, Germany); Benjamin Wibking (Michigan State University); Deovrat Prasad (Cardiff University); and Brian O'Shea (Michigan State University)\n------ ---------------\nHPC Creates Community: Women in HPC\n\nThis image was cre ated utilising publicly available photography from the SC21, SC22, and SC2 3 workshops and networking events. Images were digitally cut and arranged utilising Canva with additional graphics support made in Adobe Illustrator .\n\n\nCristin Merritt (Alces Flight Ltd, UK; Alces Software Ltd, UK) and Jonathan Poole (Purdue University, Rosen Center for Advanced Computing)\n- --------------------\nVisualization of a CM1 Cloud Simulation\n\nThe simul ation data was generated from a three-hour simulation at 7.5 m grid-spacin g (domain size of 10 km x 10 km x 8 km) of a precipitating cumulus congest us cloud using Cloud Model 1 (CM1) with Lagrangian microphysics on NSF NCA R's Derecho supercomputer. Model output, in the form of NetCDF files,...\n \n\nMatt Rehme, Hugh Morrison, and Kamal Kant Chandrakar (National Center for Atmospheric Research (NCAR))\n---------------------\nPreparing to Batt le Cancer at the Exascale\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 (Argonne National Laboratory (ANL), Northern Illinois University); Amanda Randles, Aristotle Martin, and Ayman Yousef (Duke University); and Geng Liu, Saumil Patel, Silvio Rizzi, Victor Mateevitsi, Janet Knowles, and Michael Papka (Argonne National Laboratory (ANL))\n---------------------\nUndulations in Rotation\n\nThe image is generated wholly from code written in Python (ve rsion 3.11.5) using the visualization library "matplotlib" (version 3.8.3) to programmatically and procedurally define the design. This underlying c ode has, along with the generated output design, been open-sourced under t he CC BY 4.0 lice...\n\n\nSadie Bartholomew (National Centre for Atmospher ic Science (NCAS), UK; University of Reading, England)\n------------------ ---\nEnhancing Brain Flow Visualization\n\nThe visualization pipeline was developed to process the IFF data using ParaView. A blend between surfacic approximation and volumetric multi-scattering was used to generate the tw o volumes of the brain and the tumor. The particles passed through the vox els of interest that were represented as sphere...\n\n\nAyat Mohammed, Ben Sandbrook, and Nicholas Polys (Virginia Tech) and Jessica Cunningham (Fra lin Biomedical Research Institute)\n---------------------\nComplex Plasma Crystal Rose\n\nThe simulation was written in C/C++ and CUDA. The computat ionally intensive portions of the code were offloaded to NVIDIA GPUs for a cceleration. The graphics were rendered using OpenGL.\n\n\nBryant Wyatt (T arleton State University Department of Mathematics; The Center for Astroph ysics, Space Physics, and Engineering Research (CASPER) at Baylor Universi ty); Zachary Watson (Tarleton State University Department of Mathematics); and Parker Adamson, Calvin Carmichael, Katrina Vermillion, Jorge Martinez -Ortiz, Lorin Mathews, and Truell Hyde (The Center for Astrophysics, Space Physics, and Engineering Research (CASPER) at Baylor University)\n------- --------------\nBlood Flow through a Microaneurysm\n\nWe used the Coreform Cubit software to create an Exodus-II tri-mesh with 11,196 points for the blood vessel walls. Red blood cells are placed randomly within the mesh b ounds, and then the algorithm from RBC3D, a spectral boundary integral sol ver for cell-scale flows, initiates Stokes flow through th...\n\n\nSuzan M anasreh and Spencer Bryngelson (Georgia Institute of Technology)\n-------- -------------\nCarbon Catcher\n\nUsing GFlowNets, we generate porous retic ular materials, such as Metal-Organic Frameworks and Covalent Organic Fram eworks, for applications in carbon dioxide capture. We introduce a new Pyt hon package (matgfn) to train and sample GFlowNets. We use matgfn to gener ate the matgfn-rm dataset of novel an...\n\n\nKelly Hanifin (Hartree Centr e, Science and Technology Facilities Council (STFC), UK)\n---------------- -----\nThe Heart of HPC\n\nThis image was created using a Canon EOS 7, a G oogle Pixel phone, Adobe Photoshop, Adobe Premiere, NCAR stock video, and ThingLink.\n\n\nKayla Lyday and Summer Wasson (National Center for Atmosph eric Research (NCAR))\n---------------------\nCollatz Residuals\n\nThe ima ge 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 lice... \n\n\nSadie Bartholomew (National Centre for Atmospheric Science (NCAS), U K; University of Reading, England)\n---------------------\nCollatz Kaleido scope\n\nThe image is generated wholly from code written in Python (versio n 3.11.5) using the visualization library Matplotlib (version 3.8.3) to pr ogrammatically and procedurally define the design. This underlying code ha s, along with the generated output design, been open-sourced under the CC BY 4.0 licens...\n\n\nSadie Bartholomew (National Centre for Atmospheric S cience (NCAS), UK; University of Reading, England)\n---------------------\ nSunset on Wind Turbines\n\nThe two CFD simulations to compute the wake fr om the wind turbines were performed using the high-order finite-difference flow solver XCompact3D (https://www.incompact3d.com). The simulations wer e run on ARCHER2, the UK's national HPC service (https://www.archer2.ac.uk ). A precursor simulation was ru...\n\n\nSébastien Lemaire (EPCC, The Univ ersity of Edinburgh); Andrew Mole (Imperial College, London); and Michèle Weiland (EPCC, The University of Edinburgh)\n---------------------\nArctic Wind Paintings\n\nThe data used comes from E3SM-MPAS, a global climate mo del run at Los Alamos National Laboratory. ParaView, an open-source scient ific visualization system, was used to transform the raw data to renderabl e geometry. Artifact-Based Rendering (www.sculpting-vis.org), a research s ystem developed by a co...\n\n\nFrancesca Samsel and Gregory Abram (The Un iversity of Texas at Austin, Texas Advanced Computing Center (TACC))\n---- -----------------\nInvestigating Clustering Behavior in Fuels\n\nSimulatio n data was computed on resources of the Argonne Leadership Computing Facil ity, and rendered using the VMD software package. No ML tools were leverag ed in the rendering.\n\n\nJoseph A. Insley (Argonne National Laboratory (A NL), Northern Illinois University); Suman Chakraborty (University of Illin ois Chicago); Subramanian Sankaranarayanan (University of Illinois Chicago , Argonne National Laboratory (ANL)); Silvio Rizzi, Victor Mateevitsi, and Janet Knowles (Argonne National Laboratory (ANL)); and Michael Papka (Arg onne National Laboratory (ANL), University of Illinois Chicago)\n--------- ------------\nNCSA Delta Wrap Design\n\nThe design was created with Adobe Creative 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 S upercomputing Applications (NCSA))\n\nRegistration Category: Tech Program Reg Pass, Workshop Reg Pass, Tutorial Reg Pass, Exhibits Reg Pass END:VEVENT END:VCALENDAR