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Machine Learning Benchmark Set with IBM POWER9 and GPUs
Motherboard, graphics card, PC, monitor, router | ASUS Switzerland
Ludovic Raess – Swiss Geocomputing Centre
AMD Radeon™ PRO W6800 professionelle Grafikkarten | AMD
NAMD 2.8 and 2.9 Benchmark Report - Nvidia
Snap ML, IBM Research Zurich
Evolutionary algorithms and genetic programming on graphic processing units (GPU) | Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Frontiers | Porting HEP Parameterized Calorimeter Simulation Code to GPUs | Big Data
Measuring GPU Performance - MATLAB & Simulink Example
Robert Schöftner – Head Analytics & Reporting – Helvetia Versicherungen Schweiz | LinkedIn
Student Projects ‒ EMSI ‐ EPFL
SIRIUS
More bang for your buck: Improved use of GPU nodes for GROMACS 2018 - Kutzner - 2019 - Journal of Computational Chemistry - Wiley Online Library
GPUBench - File Exchange - MATLAB Central
Applied Sciences | Free Full-Text | GPU-Enabled Shadow Casting for Solar Potential Estimation in Large Urban Areas. Application to the Solar Cadaster of Greater Geneva | HTML
Benchmarking your GPU » File Exchange Pick of the Week - MATLAB & Simulink
The Best GPUs for Deep Learning in 2020 — An In-depth Analysis
TOP500 – Wikipedia
Das ist neu in vSphere 7 Update 3 | SoftwareONE Blog
Applied Sciences | Free Full-Text | GPU-Enabled Shadow Casting for Solar Potential Estimation in Large Urban Areas. Application to the Solar Cadaster of Greater Geneva | HTML