課程資訊
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
 
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 
 
課程簡介影片
 
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
 
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
 
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)
   
課程進度
週次
日期
單元主題
無資料