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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 22 days ago
development of methods for acceleration of parallel applications in the High Performance Computing (HPC) environment, · work in the international team focused on development and optimization of parallel codes
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 22 days ago
for acceleration of parallel applications in the High Performance Computing (HPC) environment, · work in the international team focused on development and optimization of parallel codes under national and
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 22 days ago
supercomputers. IT4Innovations also operates the first Czech quantum computer named VLQ. For more details, see www.it4i.eu . Activity description: · development of methods for acceleration of parallel applications
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. In addition to the NIHR funded post available, locally funded posts may also be awarded in parallel, subject to funding and assessment against the stated criteria for the role. Applicants should be
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languages (e.g. C/Fortran) Shared and distributed memory programming tools (e.g. OpenMP, MPI) Accelerator programming (e.g. CUDA, OpenCL, SYCL) Serial and parallel debugging and profiling Parallel numerical
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to basis set size. We are working on methods that will allow us to solve the time-dependent Schrödinger equation more quickly. In this project you will develop new (parallel) methods based around accelerated
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for an additional 3 years. In parallel, the applicant will be expected to actively seek independent funding and will be fully assisted in applying for personal fellowships, such as FWO PhD fellowships. Access
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for the leadership and management of the EPSRC programme grant: Advancing Parallel Mesh Generation and Geometry Representation to Enable Industrially Relevant, High-Fidelity Simulations (REMODEL). The REMODEL project
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Theoretical Physics or a related discipline completed within the last 5 years. Experience with High Performance Computing and programming for massively parallel computers. Experience with quantum many-body
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training and inference of GMMs for large, high-dimensional datasets Explore parallelization strategies to leverage modern GPU architectures Benchmark GPU-based implementations against CPU-based approaches