Latest Articles for GPUs

Learn how adaptive triangulation improves game environments and performance.

This article explores new methods for simulating fluid flows with GPU technology.

An overview of cloud and on-premise AI infrastructures.

This paper analyzes the importance of auto-tuning for AMD GPUs in high-performance computing.

A new framework estimates how deep learning models perform on various GPUs.

Methods for optimizing performance in large language model training and inference.

This article reviews matvec's efficiency in single and multiple GPU environments.

A new framework enhances RL simulations for complex scientific data processing.

A new system improves the efficiency of training multimodal large language models.

cuVegas enhances numerical integration efficiency using GPU technology for complex tasks.

CusADi enhances robotic control by leveraging GPU capabilities for faster computations.

A study on improving GPU efficiency through targeted optimization techniques.

A new framework enhances training efficiency for complex networks.

Using Kubernetes and Jupyter Notebooks to improve quantum development efficiency.

Exploring communication methods within multi-GPU supercomputers for enhanced performance.

A new approach to CFR enhances speed for large games using GPUs.

New GPU methods speed up pangenome analysis, enhancing genetic research.

A look at hardware advancements making LLMs faster and more efficient.

Analyzing energy consumption in supercomputers for enhanced efficiency.

MC/DC software enhances neutron transport simulations for better accuracy and efficiency.

High energy physics researchers are optimizing software for diverse computing resources.

Improving simulations of multiphase fluid flows using modern GPU technology.

A study comparing LLMs Mistral and LLaMa on different GPUs.

This study analyzes how different processors perform in AI applications.

Learn how cloud platforms enhance molecular dynamics research efficiency.

miniLB offers an easier way to assess LBM simulations across various hardware systems.

Intel SHMEM enhances GPU communication, enabling efficient high-performance applications.

Combining CPUs and GPUs enhances computation speed and reduces energy use.

Learn how the filtered Lanczos procedure enhances eigenvalue calculations using GPUs.

Optimize GPU usage to enhance training efficiency for smart models.

This article discusses limitations and strategies in training large AI models.

KinetiX speeds up combustion simulations for cleaner fuel studies.

A clear look at how self-driving cars operate and ensure safety.

Discover how CaLES speeds up fluid simulations for engineering.

Milabench provides tailored benchmarks to improve AI performance evaluations.

A study on how Gaussian processes analyze and forecast disease patterns.

A new tool enhances DNA analysis using GPU technology for faster results.

Physicists use simulations to study Wilson fermions and explore fundamental forces.

Learn how diagrams enhance efficiency in deep learning algorithms.

SYCL empowers developers with seamless code across diverse hardware environments.