From 24th to 26th of September 2025 I attended the HPC status conference of the Gauss alliance in Goettingen, a lovely university city in Lower Saxony (my home area, btw ;-). As promised on Linkedin I will try to summarize the (personal) highlights of this event. But before I start my report let me makeContinue reading “(very long) report on the HPC status conference of the Gauss alliance”
Category Archives: Allgemein
(pretty long) report on the 16th Annual Swiss Conference of the HPC•AI Advisory Council
(pretty long) report on the 16th Annual Swiss Conference of the HPC/AI Advisory Council The event took place from 7th to 9th of April, 2025. in Lugano, in lovely Ticino. (This is the Italian-speaking part of Switzerland. Sometimes, this caused some problems because my Italian is non-existent, but many people in Lugano speak German, e.g.Continue reading “(pretty long) report on the 16th Annual Swiss Conference of the HPC•AI Advisory Council”
brief report on the spring 2025 meeting of the ZKI working group on supercomputing
This spring the meeting of the ZKI working group on supercomputing took place at the University of Hamburg, on March 25th and 26th ( https://www.conferences.uni-hamburg.de/event/585/ ). Reminder: the ZKI („Zentren für Kommunikation und Informationsverarbeitung in Lehre und Forschung e.V.“, https://www.zki.de ) is an an association of computer centres at universities. They have thirteen working groups,Continue reading “brief report on the spring 2025 meeting of the ZKI working group on supercomputing”
AI for Digital Pathology
At the Machine Learning in Healthcare Summit in July 2021 there was a fascinating presentation ‘ AI in Digital Pathology’ given by Dr. Anne Martel https://lnkd.in/dSygrNR on using machine learning for diagnosing cancer from medical images. It was a continuation of what I saw in November 2018 at a ML conference in Toronto, Canada. If you think thatContinue reading “AI for Digital Pathology”
How NICE DCV enables doob Metaverses
doob Metaverses offer virtual interactive 3D meetings in a multitude of settings for remote users attending from everywhere. The seamless high-end experience is created with the NICE DCV high-end remote desktop technology. Listen in to our interview about the unique NICE DCV use case with doob CEO and Founder Vladimir Puhalac conducted with Terry FisherContinue reading “How NICE DCV enables doob Metaverses”
Natural Language Processing using Nvidia NeMo
The latest information is at this GitHub repo. The lead for this project is alan.heirich@gmail.com and the end user platform in his intent is a TV – side Raspberry PI implementing a model to do english – spanish translation on the fly. The critical part is model training on a large VCTK corpus provided byContinue reading “Natural Language Processing using Nvidia NeMo”
Surrogate Models integrating an HPC Solver and a Machine Learning Component
Surrogate models consist of a Machine Learning model such as a deep neural network that is trained on data previously calculated by a numerical simulation program. This could be a Computational Fluid Dynamics or a FEM application. Assuming the deep neural network is able to generalize well on a broad range of practical cases, thenContinue reading “Surrogate Models integrating an HPC Solver and a Machine Learning Component”
AWS Summit
I was at a very informative AWS conference https://lnkd.in/dVy46QU and some of the content I took away, on AWS services, options, Machine Learning use cases and HPC-in-the-cloud is reported in this linkedin post: https://www.linkedin.com/feed/update/urn:li:activity:6809762938623152128
Solving with Python and numpy
I believe it is worth spending some effort to sharpen my programming skills independently of any application. A good path is provided by toptal and by Codility : the challenges are mathematical problems that can be programmed in several languages, and I choose Python and numpy. What follows is the one that kept me busyContinue reading “Solving with Python and numpy”
Machine Learning for drug discovery
This is IMO THE killer application for ML; the blog elaborates on my efforts to try to understand some of the ML algorithms employed, such as Variational Auto Encoders, Neural Network approximation of Density Functional Theory, Deep Learning and more. If this appeals to you read further Updated on May 21 2021
Mangesh Thorat
It is my pleasure to announce the first new member of our team since we went online: Mangesh Thorat. He brings comprehensive skills to HPCsquAIre, especially in data centre management. Please have a look at his profile on the team page.
The news: hpcsquaire.org will go live on May 1, 2021
In addition, you may want to check our new linkedin group
Joseph Pareti’s blog on AI for Manufacturing at Siemens
here is the link to my linkedin page https://www.linkedin.com/pulse/siemens-ai-manufacturing-joseph-pareti/?published=tManufcturing
Joseph Pareti’s blog on ‘AI for retail industry: a case study’
here is the link to my linkedin page https://www.linkedin.com/pulse/using-artificial-intelligence-retail-industry-case-study-pareti/
Biography
Olivier Schreiber has been a High Performance Computing Applications Engineer atHP, SGI and HPE since 2001 and contracted at SpaceX, Virgin Orbit and Google X.Before that, he was at Boeing North American and McDonnell Douglasas a Principal Engineer/Scientist/Computing Specialist.Earlier, he was a Nastran developer at The MacNeal-Schwendler Corporation.Olivier holds an MS and PhD in AerospaceContinue reading “Biography”
NI SP – 3D VDI and HPC Solutions –
NI SP offers professional support for todays 3D VDI and HPC environments. — Weiterlesen http://www.ni-sp.com/
Henry‘s CV
Verticals and trends
Verticals: CSM CFD Wheather Molecular Dynamics Life Sciences Oil & Gas Chemical Engineering CEM (Computational Electromagnetics) Electronic design automation (EDA) Financials Services Industry (FSI) Data Science Databases Trends: HPC on premise HPC on cloud DL Quantum computing https://www.ibm.com/quantum-computing/developers/ Architectures: FPGA, ARM, X86
Newsletters of interest
1)https://www.nextplatform.com/ 2)https://www.hpcwire.com/ 3)http://primeurmagazine.com/contentsweekly20201109.htmlHenry has a 4 week free trial–Could could round-robin. 4)Good source of information for HPE for example:https://www.thelayoff.com/hp-enterprise 5)https://www.deeplearning.ai/thebatch/ 6)https://www.datanami.com/another newsletter that might be interesting about AI, data analytics, Big datait‘s from Tabor Communications where HPCwire and also EnterpriseAI come from 7)https://www.enterpriseai.news/ 8)https://www.theregister.com/ 9)https://www.techradar.com/news 10)https://wikibon.com/ 11)https://insidehpc.com/ 12)http://g2minc.com/ 13)https://openhpc.community/news/
global
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