Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Nature Careers
- Oak Ridge National Laboratory
- ;
- University of Texas at Dallas
- Argonne
- ETH Zurich
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- King's College London
- Nanyang Technological University
- Technical University of Munich
- University of California Davis
- University of Dayton
- University of Toronto
- AIT Austrian Institute of Technology
- California Institute of Technology
- Central China Normal University
- Cold Spring Harbor Laboratory
- European Magnetism Association EMA
- Free University of Berlin
- Johns Hopkins University
- KINGS COLLEGE LONDON
- King Abdullah University of Science and Technology
- Lawrence Berkeley National Laboratory
- Los Alamos National Laboratory
- Medical Research Council
- NTNU - Norwegian University of Science and Technology
- National University of Singapore
- Northeastern University
- Purdue University
- Rutgers University
- Stanford University
- Technical University of Denmark
- The Chinese University of Hong Kong
- The Ohio State University
- University of Arkansas
- University of California Davis Health System
- University of California Irvine
- University of Delaware
- University of Glasgow
- University of Maryland, Baltimore County
- University of Minnesota
- University of North Carolina at Chapel Hill
- University of North Carolina at Greensboro
- University of North Texas at Dallas
- University of Oxford
- University of Pittsburgh
- University of Washington
- Washington University in St. Louis
- 39 more »
- « less
-
Field
-
. Familiarity with data formats common in scientific domains such as medical imaging, genomic sequences, proteins, chemical structures, geospatial, oceanographic, and heath record data. Experience in CUDA GPU
-
libraries like NCCL/RCCL and experience with high performance computing middleware is highly desirable. Optimizations of large parallel code bases and experience with GPU programming languages such as CUDA
-
, VMware. Experience building and running containerized applications in an HPC environment. Knowledge of Apptainer, Warewulf, Fuzzball. Experience managing systems using GPU/CUDA clusters for AI/ML and/or
-
languages such as CUDA. Strong understanding of computer architecture, memory systems and parallel algorithms. Experience with profiling and debugging tools for GPU applications desired, such as NVIDIA
-
requested for candidates who are invited to interview. Questions about the position may be directed to Anthony Cuda, Search Committee Chair, at ajcuda@uncg.edu . The review of applications will begin
-
-aware code acceleration paradigms (OpenCL, CUDA, SYCL, etc.) Track record of open-source code contributions Strong motivation, with evidence of independent research skills relevant to the project Personal
-
programming skills and concepts Experience with fundamental OS and storage concepts. Experience with programming heterogenous architecture. Preferred Qualifications: Experience with CUDA programming; Experience
-
08.04.2022, Wissenschaftliches Personal Development of Lattice-Boltzmann solver, programming in C/C++ and CUDA, implementation on GPU cluster, testing of real-time capable software on flight
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Experience Candidates are expected to have strong publication record in biomolecular modeling and computational biophysics/chemistry. Programming skills (e.g., bash scripting, python, Fortran, C++ and CUDA