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- www.nvidia.com.tw
  
  GPU 應用 | 高效能運算 | NVIDIA - 歡迎參觀NVIDIA –全球視覺運算技術領導廠商
  
  * 預期的加速高度取決於系統組態。除非另有說明，否則速度的提昇意謂整個程式的速度提昇。 GPU的效能為相較於多核心 x86 CPU 插槽。 GPU 效能是就GPU支援的特性進行測試所得的結果，可能是核心對核心的比較。
  
  2025-04-26
  
  瀏覽：1112
- www.mathworks.com
  
  MATLAB GPU Computing with NVIDIA CUDA-Enabled GPUs
  
  Learn how to use MATLAB for GPU computing. Resources include videos, examples, and documentation. ... Perform MATLAB Computations on CUDA GPUs Using MATLAB for GPU computing lets you accelerate your applications with GPUs more easily than by ...
  
  2025-04-23
  
  瀏覽：924

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Walking Randomly » MATLAB GPU / CUDA experiences on my laptop – Elementwise operations on the GPU #1

日期：2025-04-27

CUDA developer here, and writer of some of those “GPUs are awesome!” papers. A couple issues… I don’t believe using a transcendental function is really an appropriate metric here, for reasons of the actual GPU hardware. A 2.x CUDA multiprocessor has 32 .....

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[OpenCV] GPU CUDA Performance Comparison - Tim Zaman | Project Reference

日期：2025-04-28

Since I am a big fan of super-multi-threaded GPU computing (using NVIDIA’s CUDA), i made a comparison or benchmark of some imaging functions. The OpenCV platform by ......

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Walking Randomly » MATLAB GPU / CUDA experiences and tutorials on my laptop – Introduction

日期：2025-04-23

SGI’s recent hot seat presentation at ISC 2011 shows SGI betting Intel’s MIC architecture will be the future of supercomputers and NOT GPU’s. In contrast Cray hot seat presentation bets on GPU’s to be the future of supercomputers. SGI presentation video....

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About CUDA - NVIDIA Developer

日期：2025-04-22

More Than A Programming Model The CUDA compute platform extends from the 1000s of general purpose compute processors featured in our GPU's compute ......

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GPU Accelerated Computing with C and C++ - NVIDIA Developer

日期：2025-04-28

With the CUDA Toolkit from NVIDIA, you can accelerate your C or C++ code by moving the computationally intensive portions of your code to an NVIDIA GPU....

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