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analysis, digital humanity, parallel computing with shared memory (threads and OpenMP), and distributed memory (MPI and CUDA). Provide in-depth consulting services for research groups and actively
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of AI models and HPC applications, focusing on GPU-enabled computing. Implement parallel processing, distributed computing, and resource management techniques for efficient job execution. Integration and
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 days ago
and Experience: Distributed parallel training and parameter-efficient tuning. Familiarity with multi-modal foundation models, HITL techniques, and prompt engineering. Experience with LLM fine-tuning
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management, program details, communication needs and other details to make events successful. Job Description Primary Duties & Responsibilities: Oversees, manages, and provides assistance as needed for special
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programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or
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Research Scientific Computing Center (NERSC) is inviting applications for the position of Storage Systems Group (SSG) Lead. NERSC's mission is to accelerate scientific discovery through high performance
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for Science @ Scale: Pretraining, instruction tuning, continued pretraining, Mixture-of-Experts; distributed training/inference (FSDP, DeepSpeed, Megatron-LM, tensor/sequence parallelism); scalable evaluation
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
and Experience: Distributed parallel training and parameter-efficient tuning. Familiarity with multi-modal foundation models, HITL techniques, and prompt engineering. Experience with LLM fine-tuning
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. Demonstrated experience developing and running computational tools for high-performance computing environment, including distributed parallelism for GPUs. Demonstrated experience in common scientific programming
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programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or