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Master advanced Slurm batch scheduling techniques, from multi-GPU jobs and dependencies to data staging and workflow optimization for high-performance computing clusters.
Explore energy optimization in LLM workloads from picojoules to gigawatt-hours, focusing on GPU DVFS techniques and energy-to-completion metrics for transformer models.
Explore distributed inference techniques for large language models, focusing on architectural optimizations like KV caching and prefix reuse to enable scalable reasoning AI deployment.
Master OpenMP and MPI programming techniques for high-performance computing through comprehensive lectures covering computer architecture, parallelism concepts, and hybrid programming approaches.
Explore domain decomposition methods bridging numerical simulation and machine learning for scalable high-performance computing solutions.
Explore compiler design principles, domain-specific languages, accelerator targeting, and optimization techniques for high-performance computing applications.
Discover EAR's vendor-independent energy monitoring system that simplifies optimization across any architecture, making advanced energy management accessible for data centers.
Master ClusterCockpit to monitor HPC job performance in real-time, analyzing load balance, flop/s rates, communication patterns, and I/O efficiency for optimal resource utilization.
Discover the evolution of HPC performance tools through 38 years of development, from TDL/POET to Score-P, with insights on successes, failures, and the current state of parallel systems analysis.
Explore code generation technology for HPC applications through waLBerla and HyTeG case studies, focusing on performance portability and optimization strategies.
Explore scaling laws, parallelization techniques, and low-precision training methods to maximize efficiency in large language model training on high-performance clusters.
Explore how generative AI methods like diffusion models enhance physics simulations by learning probability distributions and capturing uncertainty in complex systems.
Discover modern terminal tools and Neovim setup to boost HPC development productivity with Language Server Protocols and best practices for efficient workflows.
Explore quantum computing developments in Munich Quantum Valley, covering multi-modal systems, software integration, and HPC quantum accelerators for broad applications.
Explore how I/O behavior transforms from performance constraint to system insight source in modern HPC environments and data-intensive workloads.
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