課程名稱 |
CUDA平行計算導論 Introduction to Cuda Parallel Programming |
開課學期 |
112-2 |
授課對象 |
理學院 物理學研究所 |
授課教師 |
趙挺偉 |
課號 |
Phys8061 |
課程識別碼 |
222ED3160 |
班次 |
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學分 |
2.0 |
全/半年 |
半年 |
必/選修 |
選修 |
上課時間 |
星期一3,4(10:20~12:10) |
上課地點 |
新物517 |
備註 |
本課程以英語授課。 總人數上限:30人 |
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課程簡介影片 |
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核心能力關聯 |
本課程尚未建立核心能力關連 |
課程大綱
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課程概述 |
This course introduces the Compute Unified Device Architecture (CUDA) parallel programming model, and its applications in science and engineering.
The topics include:
An Overivew of Nvidia GPUs, and GPU Accelerated Computation with CUDA
CUDA Programming Model
Threads and Blocks
Shared Memory, Constant Memory, and Texture Memory
Solving Partial Differential Equation with CUDA
Multi-GPUs with OpenMP
Monte Carlo Simulation, The Ising Model
Atomic Operations, Unified Memory
Fast Fourier Transform (FFT)
CUDA Libraries: cuBLAS, cuFFT, MAGMA (LAPACK) |
課程目標 |
待補 |
課程要求 |
This course only offers Pass/Fail grade. To get the pass grade, it is required to work out 5 problems from 5 different problem sets, and also to attend all classes |
預期每週課後學習時數 |
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Office Hours |
另約時間 備註: Appointment for discussion can be scheduled according to a student's request via email. |
指定閱讀 |
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參考書目 |
1. J. Sanders and E. Kandrot, CUDA by Example, Addison-Wesley, 2011.
2. J. Cheng, M. Grossman, and T. McKercher, Professional CUDA C Programming,
John-Weley & Sons, 2014.
3. CUDA C Programmer Guide, v10, November 2019. |
評量方式 (僅供參考) |
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