Scientific Computing on GPU's

GPU Programming for Mathematical and Scientific Computing

GPU Programming for Mathematical and Scientific Computing · E. Kerzner, T. Urness · Published 2010 · Mathematics, Computer Science.

GPU Programming for Scientific Computing and Beyond

Learn GPU architecture and fine-tuning to harness its programming power for exceptional scientific computing, gaming, and more.

Understanding GPU Usage — Enhancing High-Performance ...

A GPU is a graphics processing unit designed primarily for fast rendering of images and videos. It consists of numerous cores, enabling efficient parallel ...

Scientific Computing on Commodity Graphics Hardware - SpringerLink

These GPUs have become increasingly programmable, to the point that they now are capable of efficiently executing a significant number of computational kernels ...

What Is GPU Computing? {Benefits, Use Cases, Limitations}

GPU computing refers to the use of graphics processing units for tasks beyond traditional graphics rendering.

How Important Are GPUs and What Should You Know About Them

In today's data-driven intelligent era, fields such as high-performance computing, machine learning, and graphics processing are rapidly ...

What Is a GPU? Graphics Processing Units Defined - Intel

The graphics processing unit, or GPU, has become one of the most important types of computing technology, both for personal and business computing. Designed for ...

Computing | High Energy Density Science Center

Researchers at Lawrence Livermore National Laboratory (LLNL) have achieved a milestone in accelerating and adding features to complex multi-physics simulations ...

SPECIAL ISSUE ON SCIENTIFIC COMPUTING WITH GPUS

Computer architects also use them to build world's largest supercomputers. However, use of GPUs in scientific computing comes with an added risk: application ...

Hacking the GPU for Scientific Computing

Hacking the GPU for Scientific Computing. A Journal of Notes and Ideas. Peter Schröder. Caltech. August 14, 2002. 1 Algorithms. What algorithms are of ...

GPUs advance scientific research projects

Once thought of as a technology used only for computer games, Nvidia GeForce graphics processing units (GPUs) with Cuda technology are now being used for ...

GPU-based High-Performance Computing for Radiation Therapy

GPU will allow physicians and physicists in radiation therapy using more advanced but computationally intensive tools for better imaging, planning, and ...

Accelerating Scientific Computing with GPUs

Department of Physics Colloquium. Accelerating Scientific Computing with GPUs. Prof. Rodrigo Nemmen. Universidade de São Paulo. Graphics processing units (GPUs) ...

GPU Computing: Powering the Future of Businesses - SeiMaxim

GPU (Graphics Processing Unit) computing has come a long way. Initially designed to accelerate graphics rendering, modern GPUs have evolved ...

GPU-Accelerated Computing & Visualization - UW ECE

The Graphics Processing Unit, or GPU, is an enormously impactful computing substrate that has a wide range of applications including machine learning and ...

GPU Programming for Scientific Computing - Online Course

Learn GPU architecture and fine-tuning to harness its programming power for exceptional scientific computing, gaming, and more.

GPU Computing | Thomas-Krenn.AG

What is GPU computing? · GPU computing refers to the use of graphics processing units (GPUs) for tasks that go beyond traditional graphics processing, such as ...

Maryland CPU-GPU Cluster > Research > Scientific Computing

Comparisons with a CPU implementation demonstrate that we can improve performance by using the GPU for sufficiently large problems. Since GPU architectures and ...

CRADA Report: Scientific Computing with Video-Gaming ...

graphics cards (AMD Radeon, Nvidia. GeForce), mobile-devices (ARM, “fused” processors: APU, Tegra, etc). • High-performance (driven by strong.

Is GPU the future of Scientific Computing? - HAL

... , Florian de. Vuyst, et al.. Is GPU the future of Scientific Computing?. Annales Mathématiques Blaise Pascal,. 2013, 20 (1), pp.75-99. 10.5802/ ...