Understanding and profiling a convolutional neural network application on different computing platforms using OpenCL

Understanding and profiling a convolutional neural network application on different computing platforms using OpenCL

The decline of Moore’s law has led to a fundamental shift in the design of micro-processor architectures. Devices with parallel processing architectures such as GPUs, FPGAs and DSPs initially used specifically for dedicated tasks are now gaining popularity as accelerators for more general-purpose co...

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Bibliographic Details
Main Author: Nandi, Shuvam
Other Authors: Douglas Leslie Maskell
Format: Final Year Project (FYP)
Language:English
Published: 2017
Subjects:
DRNTU::Engineering::Computer science and engineering::Computer systems organization::Processor architectures
DRNTU::Engineering::Computer science and engineering::Hardware::Register-transfer-level implementation
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
DRNTU::Engineering::Computer science and engineering::Computer systems organization::Performance of systems
Online Access:http://hdl.handle.net/10356/70507

Internet

http://hdl.handle.net/10356/70507

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