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THE NEXT ERA OF COMPUTING
INNOVATION
M.Naveen Kumar
13241D5710
M.Tech_vlsi
HETEROGENEOUS SYSTEM
ARCHITECTURE
Heterogeneous computing in HSA
• Traditionally computers uses CPUs to process
applications in step by step task
• Computers also uses GPUs which handles
graphics processing and handles large block of
data done in parallel
• Now in order to achieve high performance
engineers started to work with CPUs along
with GPUs in a single chip
GPU
• Originally designed for games and graphics
applications
• GPU specializes in many small tasks in
parallel
• Millions of calculations per second
• GPU processors can be used for typical CPU
computations with HSA
• Improved performance in Cryptography ,
Gesture recognition and much more
Programming for HSA
• New software design is needed for full
advantage of HSA
• Common technologies to help program for
heterogeneous system
– openCL
– CUDA
– hUMA
Pc’s Era
Real world applications
• Intel CPUs with HD graphics
• AMD APUs
• Smart phones
• Laptops
• Gaming consoles like playstation3 and
playstation4
• Benefits
– Small and efficient processor
– Better battery life
– Lower cost
– Increased performance for parallel applications
• Drawbacks
– A discrete CPU and GPU can provide more power
– New software design models
– Less programmers know how to program GPUs
Heterogeneous system ERA
• The design and software implementation for
different types of processors on a single chip
• CPU is great for sequential tasks
• GPU is great for small tasks in parallel
• openCL,CUDA and hUMA helps to write
programming for HSA easier
• HSA can improve performance, lower costs
and improve battery life
HSA Foundation
• Founded in June 2012
• Developing a new platform for
heterogeneous systems
• www.hsafoundation.com
18
HSA Foundation Membership -August 2013
19
Founders
Promoters
Supporters
Contributors
Academic
Associates
THANK YOU

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Ppt hsa

  • 1. THE NEXT ERA OF COMPUTING INNOVATION M.Naveen Kumar 13241D5710 M.Tech_vlsi
  • 2.
  • 3.
  • 4.
  • 6.
  • 7. Heterogeneous computing in HSA • Traditionally computers uses CPUs to process applications in step by step task • Computers also uses GPUs which handles graphics processing and handles large block of data done in parallel • Now in order to achieve high performance engineers started to work with CPUs along with GPUs in a single chip
  • 8.
  • 9. GPU • Originally designed for games and graphics applications • GPU specializes in many small tasks in parallel • Millions of calculations per second • GPU processors can be used for typical CPU computations with HSA • Improved performance in Cryptography , Gesture recognition and much more
  • 10.
  • 11.
  • 12. Programming for HSA • New software design is needed for full advantage of HSA • Common technologies to help program for heterogeneous system – openCL – CUDA – hUMA
  • 13.
  • 15. Real world applications • Intel CPUs with HD graphics • AMD APUs • Smart phones • Laptops • Gaming consoles like playstation3 and playstation4
  • 16. • Benefits – Small and efficient processor – Better battery life – Lower cost – Increased performance for parallel applications • Drawbacks – A discrete CPU and GPU can provide more power – New software design models – Less programmers know how to program GPUs
  • 17. Heterogeneous system ERA • The design and software implementation for different types of processors on a single chip • CPU is great for sequential tasks • GPU is great for small tasks in parallel • openCL,CUDA and hUMA helps to write programming for HSA easier • HSA can improve performance, lower costs and improve battery life
  • 18. HSA Foundation • Founded in June 2012 • Developing a new platform for heterogeneous systems • www.hsafoundation.com 18
  • 19. HSA Foundation Membership -August 2013 19 Founders Promoters Supporters Contributors Academic Associates