General-purpose computing on graphics processing units

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Related lectures (32)

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Multiprocessors: Overview and Challenges

Covers the evolution and challenges of multiprocessors, emphasizing energy efficiency, parallel programming, cache coherence, and the role of GPUs.

PVT Variations, Uncertainty, and Monte-Carlo Simulations

Explores the impact of PVT variations, uncertainties in IC design, worst-case design paradigms, and the importance of Monte-Carlo simulations.

GPU Advanced: Memory Management and Optimization

Explores advanced GPU memory management, CUDA programming, and data-parallel computing for optimizing performance.

Computational Study of Quantum Interaction Phenomena

Delves into computational quantum interaction phenomena in materials using high-performance computing, covering N-particle quantum mechanics, ab initio approaches, and the NOMAD Center of Excellence.

GPUs: Introduction to CUDA

Introduces the basics of GPUs, CUDA programming, and thread synchronization for parallel computing applications.

GPU Acceleration in OLTP Execution

Explores GPU acceleration in OLTP execution and the benefits of proportional caching for query throughput.

Data Management Challenges: Hardware and Query Optimization

Explores hardware changes, query optimization, workload distribution, and effective strategies for academia and work-life balance.

High-throughput Transactions: GPU Acceleration

Discusses GPU acceleration for high-throughput transactions and the impact of coarse locking granularity.

Singularity Container Setup for Jupyter Notebook

Covers the setup of a Singularity container to run a Jupyter notebook, including SSH connections and software announcements.

Simulating Molecular Biology: Challenges and Opportunities

Explores simulating molecular biology dynamics, addressing challenges and opportunities in computational research.