Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- Oak Ridge National Laboratory
- Forschungszentrum Jülich
- Nature Careers
- CNRS
- Nanyang Technological University
- Northeastern University
- University of California
- Aalborg University
- California Institute of Technology
- Lawrence Berkeley National Laboratory
- Lunds universitet
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- National University of Singapore
- Princeton University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Technical University of Denmark
- Academia Sinica
- Argonne
- DURHAM UNIVERSITY
- ICN2
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- KINGS COLLEGE LONDON
- New York University
- SUNY Polytechnic Institute
- Stanford University
- Technical University of Munich
- University of Kansas
- University of Lund
- University of Michigan
- University of North Carolina at Chapel Hill
- Yale University
- AI4I
- Aarhus University
- Brookhaven National Laboratory
- Durham University
- Durham University;
- Embry-Riddle Aeronautical University
- Empa
- IMEC
- Inria, the French national research institute for the digital sciences
- Istituto Italiano di Tecnologia
- Itä-Suomen yliopisto
- Jane Street Capital
- King's College London
- La Rochelle Université
- Luxembourg Institute of Health
- Max Planck Institute for Gravitational Physics, Potsdam-Golm
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institute for Psycholinguistics
- Max Planck Institute for Psycholinguistics; today published
- McGill University
- National Renewable Energy Laboratory NREL
- RIKEN
- Rutgers University
- Sano Centre for Computational Personalized Medicine
- TU Wien
- The University of Arizona
- The University of Edinburgh;
- Universite de Montpellier
- University of Antwerp
- University of Arkansas
- University of Bristol
- University of Exeter
- University of Helsinki
- University of Luxembourg
- University of Maryland, Baltimore
- University of Michigan - Ann Arbor
- University of Minho
- University of New Hampshire
- University of New Hampshire – Main Campus
- University of Oslo
- University of Oulu
- University of Texas at Austin
- University of Turku
- University of Utah
- Université Catholique de Louvain (UCL)
- Université Grenoble Alpes
- Vrije Universiteit Amsterdam
- l'institut du thorax, INSERM, CNRS, Nantes Université
- 70 more »
- « less
-
Field
-
projects to the Tier 2 supercomputer Bede (32 IBM Power 9 dual-CPU nodes, each with 4 NVIDIA V100 GPUs and high performance interconnect). The is also well-provisioned with computational resources and you
-
deformation, wave propagation, etc. Familiarity with containers, numeric libraries, modular software design. Experience doing performance analysis and tuning. Excellent C/C++ and Python programming skills. GPU
-
managing experiments using GPUs Ability to visualize experimental results and learning curves Effective inter-personal and team-building skills Self-motivated with an ability to work independently and in a
-
that outperforms highly optimized code written by expert programmers and can target different hardware architectures (multicore, GPUs, FPGAs, and distributed machines). In order to have the best performance
-
limited to deep learning Experience utilising GPU enabled High-Performance Computing environments is an asset Open minded critical thinker, willing to actively contribute to the further development of multi
-
tracking), dataset curation, HPC/GPU programming, blockchain for secure data, C-family languages, and embodied AI/robotics are a plus. Experience with general network resilience, cellular automata
-
. Experience with graph-based data analysis or anomaly detection methods. Exposure to high-performance or GPU-based computing environments. Demonstrated ability to contribute to publications or technical reports
-
working in interdisciplinary teams Clear record of communicating original results in writing and presentations Desired Qualifications: Knowledge of GPU architecture and experience programming GPUs
-
. Ability to succeed in an interdisciplinary team and communicate results clearly in writing and presentations. Desired Qualifications: Knowledge of GPU architecture and GPU programming. Interest
-
of this, Tiramisu can generate fast code that outperforms highly optimized code written by expert programmers and can target different hardware architectures (multicore, GPUs, FPGAs, and distributed machines). In