TopPodcast.com
Menu
  • Home
  • Top Charts
  • Top Networks
  • Top Apps
  • Top Independents
  • Top Podfluencers
  • Top Picks
    • Top Business Podcasts
    • Top True Crime Podcasts
    • Top Finance Podcasts
    • Top Comedy Podcasts
    • Top Music Podcasts
    • Top Womens Podcasts
    • Top Kids Podcasts
    • Top Sports Podcasts
    • Top News Podcasts
    • Top Tech Podcasts
    • Top Crypto Podcasts
    • Top Entrepreneurial Podcasts
    • Top Fantasy Sports Podcasts
    • Top Political Podcasts
    • Top Science Podcasts
    • Top Self Help Podcasts
    • Top Sports Betting Podcasts
    • Top Stocks Podcasts
  • Podcast News
  • About Us
  • Podcast Advertising
  • Contact
Not in our directory?
Add Show Here
Podcast Equipment
Center

toppodcastlogoOur TOPPODCAST Picks

  • Comedy
  • Crypto
  • Sports
  • News
  • Politics
  • True Crime
  • Business
  • Finance

Follow Us

toppodcastlogoStay Connected

    View Top 200 Chart
    Back to Rankings Page
    Technology

    Programming Massively Parallel Processors with CUDA – Stanford University

    Virtually all semiconductor market domains, including PCs, game consoles, mobile handsets, servers, supercomputers, and networks, are converging to concurrent platforms. There are two important reasons for this trend. First, these concurrent processors can potentially offer more effective use of chip space and power than traditional monolithic microprocessors for many demanding applications. Second, an increasing number of applications that traditionally used Application Specific Integrated Circuits (ASICs) are now implemented with concurrent processors in order to improve functionality and reduce engineering cost. The real challenge is to develop applications software that effectively uses these concurrent processors to achieve efficiency and performance goals.

    The aim of this course is to provide students with knowledge and hands-on experience in developing applications software for processors with massively parallel computing resources. In general, we refer to a processor as massively parallel if it has the ability to complete more than 64 arithmetic operations per clock cycle. Many commercial offerings from NVIDIA, AMD, and Intel already offer such levels of concurrency. Effectively programming these processors will require in-depth knowledge about parallel programming principles, as well as the parallelism models, communication models, and resource limitations of these processors. The target audiences of the course are students who want to develop exciting applications for these processors, as well as those who want to develop programming tools and future implementations for these processors.

    Visit the CS193G companion website for course materials.

    Advertise
    • Apple Podcasts
    • Google Play
    • Spotify

    Latest Episodes:

    Episode information is being refreshed. Please check back shortly.

    Related Podcasts

    Reply All

    1

    Reply All Games & Hobbies
    Inside VR & AR

    2

    Inside VR & AR Gadgets
    Note to Self

    3

    Note to Self News
    BrainStuff

    4

    BrainStuff Natural Sciences
    This Week in Tech (Audio)

    5

    This Week in Tech (Audio) News
    Hands-On Tech (Audio)

    6

    Hands-On Tech (Audio) Technology
    footer-logo

    Contact Us

    Toll Free: 844-670-7747

    Links

    • Home
    • Top Charts
    • Networks
    • Apps
    • Independents Podcasts
    • Podcast Advertising
    • Podcast News
    • Contact Us
    • About Us
    • Analytics & Insights

    Stay Connected

      Privacy, Terms of Use & Our Code of Ethics Protecting Content Creators Copyrights