Stefano Markidis
@MaybeStef
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Joined September 2016
Beautiful work by the KTH ScaLab Daniel Medeiros, Gabin Schieffer, and Ivy Peng on pushing molecular docking workload to converged computing systems (HPC + Cloud )with Kubernetes & Airflow. @OpenCUBE_EU @KTHuniversity #ConvergedComputing #MolecularDocking
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ISC BOF 2023: @Plasma_PEPSC_EU discussion focused on addressing all limitations and gaps present, while identifying priorities towards ... "Pushing Flagship Plasma Simulation Codes to Tackle Exascale-Enabled Grand Challenges via Performance Optimisation and Codesign" @ISChpc
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More pictures from EuroHPC Summit 2023: @Plasma_PEPSC_EU Project Coordinator and Associate Professor Stefano Markidis at the Parallel Session focusing on Space Physics and Astrophysics Codes.
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Scientists at EPFLβs Swiss Plasma Center & @DeepMind have developed a new magnetic control method for plasmas based on deep reinforcement learning and applied it to a real-world plasma for the 1st time in the @TCV_tokamak research facility. #nuclearfusion
https://t.co/VStZPEbfUP
actu.epfl.ch
Scientists at EPFLβs Swiss Plasma Center and DeepMind have jointly developed a new method for controlling plasma configurations for use in nuclear fusion research.
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yesterday at the Sage and NextGenIO workshop in Ljubljana! Still jet-lagged π΄ but many great talks about heterogenous memories and multi-tier storage π
"Parallel I/O is one of the most serious performance bottlenecks in HPC applications" : the ground motivation at the forefront of Stefano Markilis (from @KTHresearch & @SageStorage) talk on exploring scientific application performance using large scale object storage. #EHPCSW
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π₯Best paper on programmability, performance and precision loss of #Nvidia tensor cores at #IPDPS #ASHES18( https://t.co/NZlkWVXT1y)!!! Celebrating in Vancouver π¨π¦!!!
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Finally back to Serie A! What a magic night!
"Tre anni fa ci davano per morti: si sono sbagliati" Noi siAmo AncorA quA! πͺπ»ππ #EhGiΓ #comenoinessunomAi
#ForzaParma
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Thank you Adrian
Stefano Markidis from @KTHinfo presenting improved #tensorflow performance with higher performance communication libraries
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KNL: MCDRAM vs DRAM Exploring the Performance Benefit of Hybrid Memory System in #HPC
https://t.co/gdY1Xs65Lb via @ogawa_tter
arxiv.org
Hardware accelerators have become a de-facto standard to achieve high performance on current supercomputers and there are indications that this trend will increase in the future. Modern...
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