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Create a complete HPC environment in Google Cloud using CloudyCluster, offering familiar on-prem features with cloud elasticity and scalability. Experience Open OnDemand tools, JupyterLab, and high-performance storage options.
Explore dataflow history, AI-HPC convergence, and Groq's tensor streaming processor architecture. Learn about stream programming, deterministic execution, and distributed scale-out systems for efficient deep learning computations.
Comprehensive analysis of UPSC CSE Mains General Studies papers, covering key topics and providing insights for exam preparation. Expert discussion on all four GS papers.
Learn to install and configure Enroot and Pyxis for running containerized applications on Slurm clusters, simplifying HPC workflows and enabling Ubuntu-based containers across diverse infrastructures.
Optimize high-performance computing on Azure: deploy, manage, and accelerate HPC workloads using Azure Batch, CycleCloud, and specialized storage solutions. Gain hands-on experience with parallel processing and cluster management.
In this lab, you create a complete turn-key High Performance Computing (HPC) environment in Google Cloud.
Explore advanced profiling of Julia code in HPC clusters using Extrae.jl. Learn to annotate regions, sample hardware counters, and optimize performance for scientific applications on various architectures.
Explore power and energy consumption in HPC systems, learn about tuning for energy efficiency, and understand computing center restrictions for energy-saving measures.
Learn to rapidly deploy and utilize a high-performance computing cluster for urgent data analysis using open-source tools, enabling efficient problem-solving without specialized DevOps knowledge or proprietary software.
Explore Google Cloud's latest HPC advancements, including VMs, processors, accelerators, and storage solutions. Learn deployment tools and best practices for managing demanding workloads.
Learn essential skills for using high-performance computing resources effectively, bridging the gap for novice users and researchers in domains with newly available HPC access.
Explore a versatile HPC software stack for scientific computing across platforms. Learn about EESSI's benefits for education, research, and collaborative development in high-performance computing environments.
Explore infrastructure and tools for high-fidelity testing in HPC environments, focusing on hardening software for DOE's Exascale Computing Project and future applications.
Simplify scientific Python package installation in HPC environments with a new tool that reduces errors and enables sharing among users.
Deploy a personal supercomputer in 15 minutes using Charmed HPC, an open-source infrastructure stack for cloud and on-premises. Explore integrated services, automated lifecycle events, and multi-cloud deployment options.
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