Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
subfields spanning length scales between. Forefront physics and astronomy research requires access to well-equipped laboratories and extensive computing capabilities; it also must be supported by
-
of electrical engineering, Universite de Moncton (Moncton campus) Email: [mohamed.lamine.faycal.bellaredj@umoncton.ca] Context & Motivation: Because of their extreme computational needs where workloads demand
-
the university's research priorities and technological advancements. Performance Optimization: Analyze and optimize the performance of AI models and HPC applications focusing on GPU-enabled computing. Implement
-
finite elements) as well as alternative discretization methods (e.g., Lattice Boltzmann Methods), and high-performance computing. A selection of possible research areas can be found on our website: https
-
: Applications accepted all year round Details In this project you will combine state of the art software development approaches for GPU programming with the study of interactions of high-energy particles with
-
and high flexibility in where and when you work. Access to HPC resources (including GPU clusters) at Helmholtz, the Leibniz Supercomputing Centre (LRZ), and the Forschungszentrum Jülich (FZJ). Training
-
Facility computing infrastructure supports the diverse needs of over 2,500 researchers in the six UC Davis colleges and schools, totaling some 48,000 CPUs, over 200 GPU nodes, and dozens of petabytes in user
-
, and software for all services supported by the UC Davis High Performance Computing at UC Davis (HPC@UCD) Participate in and direct staff in administering HPC services including cluster operations
-
benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised Job Summary The Department of Computer Science and Engineering (CSE
-
(LLMs); Configure and optimize cloud computing solutions or on-premise infrastructures that ensure high availability and scalability; Implement tools for efficient resource management, such as GPU