The document discusses CUDA core processors and GPUs. It defines processors as computers' brains that control tasks and prioritization. Cores are microprocessors inside CPUs, with examples given for single, dual, quad, hexa, and octa core models. GPUs have massively parallel architectures and are found in video cards and game consoles. CUDA is a programming model that uses GPUs to dramatically increase computing performance through parallel processing. Nvidia invented GPUs and leads in visual computing. CUDA allows C programs to harness thousands of GPU threads for parallel computing.

1. SHINE RAJ ARATHIL
C.S.E 3rd Sem
2ndYear

2. CUDA CORE PROCESSOR
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4. PROCESSOR
 computers brain.
 Tells your computer
what to do and when
to do it
 it decides which tasks
are more important
and prioritizes them
to your computers
needs
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5. CORE
 It is the
Microprocessor
inside the CPU
 E.g.: Dual core
means, 2
microprocessors are
there
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6. MODEL NO.OF
CORE
EXAMPLE
SINGLE CORE 1 AMD ORDINARY
DUAL CORE 2 INTEL DUO
QUAD CORE 4 INTEL I3, I5
HEXA CORE 6 AMD PHENOM X6
OCTA CORE 8 INTEL XENON
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9. GPU
 Massively parallel
many core
computers
 Chip in computer
video
cards,Playstation3,Xb
ox, etc.
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11. NVidia
 It’s a brand name
 Inventor of GPU
 World leader in visual
computing technology
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12. CUDA
Compute Unified Device Architecture
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13. What Is CUDA ?
 It’s a programing model
that uses the GPU
 It allows calculations to
be performed parallel,
giving significant speed
up
 Used with c programs
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14. CUDA
CUDA™ is a parallel computing
platform and programming model
that enables dramatic increases in
computing performance by
harnessing the power of the GPU
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17. How NVIDIA utilize CUDA
Making the technology available to
software developers. The developers can
then program algorithms in C code that
are executed on the GPU. The result
allows for parallel computing, meaning
thousands of multiple threads can run
simultaneously.
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18. QUERIES ? ?
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19. THANK YOU
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