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Cuda

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Dr. Jia
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CUDA (Compute Unified Device architecture), is the video card manufacturer Nvidia launched the operational platform. Cuda™ is a common, parallel computing architecture introduced by Nvidia that enables GPU to solve complex computational problems. It contains the CUDA instruction set architecture (ISA) and the parallel computing engine within the GPU. Developers can now use the C language to write programs for cuda™ architectures, the C language is the most widely used high-level programming language. The programmed program is then able to run with ultra-high performance on a cuda™-enabled processor. CUDA3.0 has begun to support C + + and Fortran.

With the development of graphics cards, the GPU is becoming more and more powerful, and the GPU is optimized for display images. Has surpassed the general CPU in computing. Such a powerful chip if only as a video card is too wasteful, so Nvidia launched Cuda, so that the graphics card can be used outside the image calculation purposes.

T h e c o m p u t i n g i n d u s t r y i s e v o l v i n g f r o m " c e n t r a l p r o c e s s i n g " u s i n g o n l y C P U s t o C P U a n d G P U . T o c r e a t e t h i s n e w c o m p u t i n g p a r a d i g m , t h e p r o g r a m m i n g m o d e l o f C U D A ( c o m p u t e U n i f i e d D e v i c e A r c h i t e c t u r e , u n i f i e d C o m p u t i n g d e v i c e a r c h i t e c t u r e ) i s t o m a k e t h e m o s t o f t h e a d v a n t a g e s o f C P U a n d G P U i n t h e a p p l i c a t i o n . N o w , t h e a r c h i t e c t u r e h a s b e e n a p p l i e d t o G e f o r c e ™ ( ™ ) , I o n ™ ( W i n g ™ ) , Q u a d r o , a n d T e s l a G P U ( g r a p h i c s p r o c e s s o r ) , w h i c h i s a h u g e m a r k e t f o r a p p l i c a t i o n d e v e l o p e r s .

Course Features

The main requirement is that we master two modules, one is how to use the object's thinking abstract problems, such as the data abstracted into various variables and arrays; the second is how to use the algorithm to abstract content.

  • Assessment:
    Self evaluation
  • Duration:
    4 hour
  • Skill Level:
    No requirement
  • Lectures:
    08
  • Languages:
    English
  • Available Seats:
    23
  • Starts From:
    21 August

Course Outline

  • Course Name
  • Instructor
  • File type
  • Lesson one Preview
    ANACONDA PYTHON
    • 21 / 08 / 2017
    • 09:00 am - 11:30 am
  • Pei Jia

    Ph.D

  • PDF File
  • Lesson two Preview
    Java OOP
    • 21 / 08 / 2017
    • 09:00 am - 11:30 am
  • Mr. Lu

    Professor

  • play
  • Lesson three Preview
    C/C++ - The Real Core
    • 21 / 08 / 2017
    • 09:00 am - 11:30 am
  • Mr. Zheng

    Bachelor

  • PDF File
  • Lesson four Preview
    JAVASCRIPT
    • 21 / 08 / 2017
    • 09:00 am - 11:30 am
  • Mr. Yin

    Bachelor

  • PDF File

Course Instructors

  • Pei Jia
    Ph.D

    The mastery of knowledge is not difficult, as long as the perseverance to learn, and strive to master the law, to reach the familiar situation, can be mastered, easy. Teaching must start with the experience of the learner.

  • Mr Lu
    Professor

    We need to understand how to look at problems in a computer way, and we need to understand how to describe real-life data in a computer way.

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