BEGIN:VCALENDAR VERSION:2.0 PRODID:-//wp-events-plugin.com//7.4.3//EN TZID:America/Chicago X-WR-TIMEZONE:America/Chicago BEGIN:VEVENT UID:2@hpc-ai-society.org DTSTART;TZID=America/Chicago:20211202T080000 DTEND;TZID=America/Chicago:20211202T170000 DTSTAMP:20231101T202935Z URL:https://hpc-ai-society.org/Events/december-2021-event/ SUMMARY:December 2021 Annual Technology Meeting DESCRIPTION:\n\nThe Society of HPC Professionals annual technology meeting is a don't miss event.  We have a great lineup of speakers from the HPC & amp\; AI community as you can see from the agenda below.\nThanks to our ev ent sponsors\, this year it will be free for members \n(i.e.- it's a great time to join\, only $60 for full year)\n[button link="https://hpc-ai-soci ety.org/membership-join/" newwindow="yes"] Join now for downloads[/button] \nThis year's meeting was a hybrid event\, with both virtual and in-person options.\n\n\n\nEvent Sponsors\n                                     \n\n \;\n\n                                   \n\n \;\n\n                                         \n\n                                                                                                           \n\n\n\nDownload presentations and/or watch videos\n[membership level="1\,2" show_noaccess="true"]\n\nBelow are the p resentations our speakers allowed us to share:\nSnell - HPC AI market upda te and SC21 recap\nTACC: Looking back and forward: The Evolution of Workin g in HPC over the Last 30 years\n\nFinding Thermally Robust Superhard Mate rials with Machine Learning\n\nIBM: Quantum Computing Roadmap\n\nWWT: HPC+ AI Drives Quantum Simulation to Make Quantum Computers Better\n\n  Check back soon for videos\n\n[/membership]\nAgenda (all times Central)  [butto n link="https://hpc-ai-society.org/events/december-2021-event-speakers/" t ype="big" newwindow="yes"] Speaker bios[/button]  \n[table id=8 /]\n[butt on link="https://hpc-ai-society.org/events/december-2021-event-speakers/" type="big" newwindow="yes"] Speaker bios[/button]  \n \;\n\n[button l ink="https://hpc-ai-society.org/membership-join/" newwindow="yes"] Join no w for downloads[/button] (only $60 for full year membership with many bene fits) CATEGORIES:Annual Technology Event LOCATION:SLB (Schlumberger) Houston + Virtual option\, 10001 Richmond Avenu e\, Houston\, TX\, 77042\, United States X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=10001 Richmond Avenue\, Hou ston\, TX\, 77042\, United States;X-APPLE-RADIUS=100;X-TITLE=SLB (Schlumbe rger) Houston + Virtual option:geo:0,0 END:VEVENT BEGIN:VEVENT UID:6@hpc-ai-society.org DTSTART;TZID=America/Chicago:20220127T120000 DTEND;TZID=America/Chicago:20220127T130000 DTSTAMP:20231101T202903Z URL:https://hpc-ai-society.org/Events/january-lunch-learn/ SUMMARY:SHPCP January Lunch & Learn DESCRIPTION:\n\nThe Society of HPC Professionals lunch and learn event\n&nb sp\;\n\n\n\n\n\nLunch &\; Learn – January 2022\nAI-Driven Adaptive Mu ltiresolution Molecular Simulations on Heterogeneous Computing Platforms\n 27 January 2022 | Live stream\nDownload presentations and/or watch videos \n[membership level="1\,2" show_noaccess="true"]\n  Watch video\n  Downl oad from Dropbox\n \;\n\n[/membership]\n\n\n\nAbout the Event\nEmergin g hardware tailored for artificial intelligence (AI) and machine learning (ML) methods provide novel means to couple them with traditional high perf ormance computing (HPC) workflows involving molecular dynamics (MD) simula tions. We propose Stream-AI-MD\, a novel instance of applying deep learnin g methods to drive adaptive MD simulation campaigns in a streaming manner. We leverage the ability to run ensemble MD simulations on GPU clusters\, while the data from atomistic MD simulations are streamed continuously to AI/ML approaches to guide the conformational search in a biophysically mea ningful manner on a wafer-scale AI accelerator. We demonstrate the efficac y of Stream-AI-MD simulations for two scientific use-cases: (1) folding a small prototypical protein\, namely BBA FSD-EY and (2) understanding prote in-protein interaction (PPI) within the SARS-CoV-2 proteome between two pr oteins\, nsp16 and nsp10. We show that Stream-AI-MD simulations can improv e time-to-solution by ~50X for BBA protein folding. In addition\, we also demonstrate the use of Stream-AI-MD in running multi resolution simulation s for understanding the SARS-CoV-2 replication transcription complex.\n\n& nbsp\;\nAbout the Speaker\nArvind Ramanathan\, Ph.D.\n\nArvind Ramanathan is a computational biologist in the Data Science and Learning Division at Argonne National Laboratory and a senior scientist at the University of Ch icago Consortium for Advanced Science and Engineering (CASE). His research interests are at the intersection of data science\, high performance comp uting and biological/biomedical sciences. His research focuses on three ar eas focusing on scalable statistical inference techniques:\n(1) for analys is and development of adaptive multi-scale molecular simulations for study ing complex biological phenomena (such as how intrinsically disordered pro teins self assemble\, or how small molecules modulate disordered protein e nsembles)\n(2) to integrate complex data for public health dynamics\n(3) f or guiding design of CRISPR-Cas9 probes to modify microbial function(s).\n \nArvind obtained his Ph.D. in computational biology from Carnegie Mellon University\, and was the team lead for integrative systems biology team wi thin the Computational Science\, Engineering and Division at Oak Ridge Nat ional Laboratory.  More information about his group and research interest s can be found at http://ramanathanlab.org.\n\n\n\n\n\nA reminder email wi th Zoom join info will be sent the day prior to the meeting to all registr ants.\nNote: please check your spam folder if you don't see it and conside r adding the domain hpc-ai-society.org to your approved list.\nMembers: th e join info is also on the Member Resources web page.\n\n \; END:VEVENT BEGIN:VEVENT UID:18@hpc-ai-society.org DTSTART;TZID=America/Chicago:20220224T120000 DTEND;TZID=America/Chicago:20220224T130000 DTSTAMP:20231101T202835Z URL:https://hpc-ai-society.org/Events/shpcp-february-lunch-learn-2/ SUMMARY:SHPCP February Lunch & Learn DESCRIPTION:\n\nThe Society of HPC Professionals lunch and learn event\n&nb sp\;\n\n\n\n\n\nLunch &\; Learn – February 2022\nServing and Managing Reproducible HPC Environments via Conda-Store\nChris Ostrouchov\, Quansig ht\n24 February 2022 | Live stream\nDownload presentations and/or watch v ideos\n[membership level="1\,2" show_noaccess="true"]\n\n  Watch video\n   Download presentation\n[/membership]\n\n \;\n\n\n\nAbout the Event\ nWhen working within teams and organizations managing and keeping track of the software packages used in a workflow or project can be very important . In HPC environments this used to be relatively straightforward\, the adm inistrators packaged a set of available software packages and compilers an d provided a mechanism (i.e. module load etc) for end users to load those packages in a convenient manner. Unfortunately\, with the rise of the mode rn scientific software ecosystem the sheer variety of packages available a nd the speed at which those packages get updated makes it impractical for a centralized administration paradigm to keep up. On the flip side\, often end users install packages in an ad-hoc manner making reproducibility and collaboration near impossible.\n\nConda-Store provides a way for end user s to quickly create and modify environments while at the same time capturi ng those environments in a reproducible manner that can be shared within t eams and managed by IT. We will walk through the architecture of Conda-Sto re and show how it balances the three corners of the IT  / User / Reprodu cibility triangle. Conda-Store packages a given environment in many format s including filesystem\, lockfiles\, tarballs\, and docker images. This wo uld enable nodes within a compute cluster to download tarballs of the envi ronment to avoid a common issue in HPC distributed file systems being over loaded by small file accesses. In the future there are plans for Conda-Sto re to additionally serve singularity containers of environments. We will a lso briefly demonstrate Conda-Store via QHub-HPC\, a lightweight way to de ploy a small slurm based HPC cluster in the cloud or on bare-metal with Ju pyterHub\, Dask\, Dashboard sharing\, monitoring\, flexible authentication \, and many other features integrated. Related to QHub-HPC we would like t o show how using jupyterhub and jupyterhub-ssh can remove the need for a u ser login node and ensure that all users are launched inside of dedicated Slurm allocations.\n\n[1] https://conda-store.readthedocs.io/en/latest/\n[ 2] https://github.com/Quansight/qhub-hpc\n\nAbout the Speaker\nChristopher Ostrouchov\, Ph.D.\nSenior Software Architect at Quansight\n\n\nChris is a scientific software architect at Quansight and the technical lead on QHu b and Conda-Store.  He is passionate about numerical computing\, reproduc ibility\, and making open source sustainable. He is a contributor to open source software in the pydata ecosystem mainly around JupyterHub\, Dask\, and NixOS.\n\nChris earned his Ph.D. in Computational Material Science and Engineering from the University of Tennessee\, Knoxville\, including a Ch ancellor's Fellowship scholarship\, and a BS in Computational and Applied Mathematics from Clemson University. In his spare time he enjoys running a nd contributing to reproducible software via nixpkgs and nixos..\n\n\n\n\n \nA reminder email with Zoom join info will be sent the day prior to the m eeting to all registrants.\nNote: please check your spam folder if you don 't see it and consider adding the domain hpc-ai-society.org to your approv ed list.\nMembers: remember to login to see your free ticket option.\nNote : if you see a message to renew\, we have seen a glitch on some browsers. Click the renew link\, which will take you to your account page\, where yo u will see if you are current. If you are\, simply navigate again to the e vent page and you should see your free ticket option.\n \; END:VEVENT BEGIN:VEVENT UID:7@hpc-ai-society.org DTSTART;TZID=America/Chicago:20220224T120000 DTEND;TZID=America/Chicago:20220224T130000 DTSTAMP:20220225T142048Z URL:https://hpc-ai-society.org/Events/shpcp-february-lunch-learn/ SUMMARY:SHPCP February Lunch & Learn DESCRIPTION:\n\nThe Society of HPC Professionals lunch and learn event\n&nb sp\;\n\n\n\n\n\nLunch &\; Learn – February 2022\nServing and Managing Reproducible HPC Environments via Conda-Store\nChris Ostrouchov\, Quansig ht\n24 February 2022 | Live stream\nDownload presentations and/or watch v ideos\n[membership level="1" show_noaccess="true"]\n\n  Watch video\n  D ownload presentation\n[/membership]\n\n \;\n\n\n\nAbout the Event\nWhe n working within teams and organizations managing and keeping track of the software packages used in a workflow or project can be very important. In HPC environments this used to be relatively straightforward\, the adminis trators packaged a set of available software packages and compilers and pr ovided a mechanism (i.e. module load etc) for end users to load those pack ages in a convenient manner. Unfortunately\, with the rise of the modern s cientific software ecosystem the sheer variety of packages available and t he speed at which those packages get updated makes it impractical for a ce ntralized administration paradigm to keep up. On the flip side\, often end users install packages in an ad-hoc manner making reproducibility and col laboration near impossible.\n\nConda-Store provides a way for end users to quickly create and modify environments while at the same time capturing t hose environments in a reproducible manner that can be shared within teams and managed by IT. We will walk through the architecture of Conda-Store a nd show how it balances the three corners of the IT  / User / Reproducibi lity triangle. Conda-Store packages a given environment in many formats in cluding filesystem\, lockfiles\, tarballs\, and docker images. This would enable nodes within a compute cluster to download tarballs of the environm ent to avoid a common issue in HPC distributed file systems being overload ed by small file accesses. In the future there are plans for Conda-Store t o additionally serve singularity containers of environments. We will also briefly demonstrate Conda-Store via QHub-HPC\, a lightweight way to deploy a small slurm based HPC cluster in the cloud or on bare-metal with Jupyte rHub\, Dask\, Dashboard sharing\, monitoring\, flexible authentication\, a nd many other features integrated. Related to QHub-HPC we would like to sh ow how using jupyterhub and jupyterhub-ssh can remove the need for a user login node and ensure that all users are launched inside of dedicated Slur m allocations.\n\n[1] https://conda-store.readthedocs.io/en/latest/\n[2] h ttps://github.com/Quansight/qhub-hpc\n\nAbout the Speaker\nChristopher Ost rouchov\, Ph.D.\nSenior Software Architect at Quansight\n\n\nChris is a sc ientific software architect at Quansight and the technical lead on QHub an d Conda-Store.  He is passionate about numerical computing\, reproducibil ity\, and making open source sustainable. He is a contributor to open sour ce software in the pydata ecosystem mainly around JupyterHub\, Dask\, and NixOS.\n\nChris earned his Ph.D. in Computational Material Science and Eng ineering from the University of Tennessee\, Knoxville\, including a Chance llor's Fellowship scholarship\, and a BS in Computational and Applied Math ematics from Clemson University. In his spare time he enjoys running and c ontributing to reproducible software via nixpkgs and nixos..\n\n\n\n\n\nA reminder email with Zoom join info will be sent the day prior to the meeti ng to all registrants.\nNote: please check your spam folder if you don't s ee it and consider adding the domain hpc-ai-society.org to your approved l ist.\nMembers: remember to login to see your free ticket option.\nNote: if you see a message to renew\, we have seen a glitch on some browsers. Clic k the renew link\, which will take you to your account page\, where you wi ll see if you are current. If you are\, simply navigate again to the event page and you should see your free ticket option.\n \; END:VEVENT BEGIN:VEVENT UID:8@hpc-ai-society.org DTSTART;TZID=America/Chicago:20220324T120000 DTEND;TZID=America/Chicago:20220324T130000 DTSTAMP:20231101T202809Z URL:https://hpc-ai-society.org/Events/shpcp-march2022-lunch-learn/ SUMMARY:SHPCP March Lunch & Learn DESCRIPTION:\n\nThe Society of HPC Professionals lunch and learn event\n&nb sp\;\n\n\n\n\n\nLunch &\; Learn – March 2022\nDatacenter: Hotter and faster\, what’s next?\nEric Collins\, Submer\n24 March 2022 | Live strea m\nDownload presentations and/or watch videos\n[membership level="1\,2" s how_noaccess="true"]\n\n  Watch video\n  Download presentation\n[/member ship]\n\n \;\n\n\n\nAbout the Event\nIn 2021\, data centers consumed 6 % of the world’s energy supply. By 2025\, it will likely be 20%. As CPU speeds increase\, so does power consumption. In this talk\, Eric Collins\, Sr. Solutions Architect at Submer will give an overview of the different approaches for cooling data centers in the near future as well as a bit fu rther out. Also\, the advantages and disadvantages of different approaches .\n\nAbout the Speaker\nEric Collins\, Ph.D.\nSenior Solution Architect at Submer\n\n\nEric Collins is the Sr. Solution Architect for Submer\, a lea der in the immersion cooling sector. A thought leader with over 30 years ’ experience in the IT industry\, in roles from support to professional services to management and working for early-stage start-ups.\n\nWhile at IBM\, Eric was part of a small team that built IBM’s high-performance co mputing (HPC) business in the energy sector. Eric then left IBM and was th e CTO for a business partner specializing in large enterprise and technica l computing. He is frequently sought as a speaker at technical conferences including Offshore Technology Conference\, user groups and the annual Sup erComputing Conference.\n\n\n\n\n\nA reminder email with Zoom join info wi ll be sent the day prior to the meeting to all registrants.\nNote: please check your spam folder if you don't see it and consider adding the domain hpc-ai-society.org to your approved list.\nMembers: remember to login to s ee your free ticket option.\nNote: if you see a message to renew\, we have seen a glitch on some browsers. Click the renew link\, which will take yo u to your account page\, where you will see if you are current. If you are \, simply navigate again to the event page and you should see your free ti cket option.\n \; END:VEVENT BEGIN:VTIMEZONE TZID:America/Chicago X-LIC-LOCATION:America/Chicago BEGIN:STANDARD DTSTART:20211107T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0600 TZNAME:CST END:STANDARD BEGIN:DAYLIGHT DTSTART:20220313T030000 TZOFFSETFROM:-0600 TZOFFSETTO:-0500 TZNAME:CDT END:DAYLIGHT END:VTIMEZONE END:VCALENDAR