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, Warewulf, DUO) Linux server installation, configuration and administration (OpenHPC, Redhat Enterprise 7/8, CentOS 7/8/Stream, Ubuntu), experience with SELinux is a plus Parallel and distributed file system
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workflows, and distributed intelligence across the computing continuum. In this role, you will have the opportunity to lead and contribute to cutting-edge research aimed at transforming scientific data
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leading the design and deployment of HPC or large-scale distributed computing systems. Expertise with batch schedulers (SLURM, PBS, LSF) and parallel file systems (Lustre, GPFS/Spectrum Scale). Proven
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<span lang="en">TUD Dresden University of Technology</span> | Dresden, Sachsen | Germany | about 17 hours ago
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- compiler frameworks (LLVM, MLIR)
- embedded software development
- computer and accelerator architectures
- parallel and distributed computing
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. Deep expertise in Linux and HPC architecture, including heterogeneous CPU/GPU compute, workload scheduling, high-speed interconnects, parallel or distributed file systems, cluster management, artificial
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compiler optimization techniques. Experience with distributed and parallel computing technologies such as MPI and OpenMP. Experience with large-scale neural network architectures for processing
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, artificial intelligence, computer networks, graphics, parallel and distributed systems, mobile systems, machine learning, Cybersecurity and secure computing, data science and AI, and theory. Our faculty are
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distributed computing runtime with application and compilers to efficiently integrate quantum processors with HPC resources. The research will explore different quantum computing modalities, their
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quickly and functioning in a dynamic technological environment. Preferred Qualifications: Experience with parallel computing, GPU operation (CUDA Toolkit), multi-GPU training, and distributed
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optimization fundamentals, both computational and mathematical. Preferred Qualifications Familiarity with distributed computing frameworks such as MPI and OpenMP Experience with Pyomo and/or JuMP Experience