GPU Computing with MATLAB

A Graphics Processing Unit (GPU) is a specialized electronic circuit designed to rapidly manipulate and alter memory to accelerate the creation of images in a frame buffer intended for output to a display. GPUs are used in embedded systems, mobile phones, personal computers, workstations, and game consoles. GPU computing is the use of a GPU to do general purpose scientific and engineering computing. Its introduction opened new doors in the areas of research and science. Due to their massive-parallel architecture, using GPUs enables the completion of computationally intensive assignments much faster compared with conventional CPUs.

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  • Broader algorithm support
  • Constant Memory and Events
  • Domains: computer science, electronic, embedded systems, telecommunication, medical imaging, and finance.
  • GPU computing, multi GPU processing, hybrid computing
  • GPU Array Function Support
  • MATLAB Distributed Computing Server
  • MATLAB Pool Extends Desktop MATLAB
  • Mechanisms for mapping codes
  • Multithreading in MATLAB
  • Non-shared file system support
  • Page-Locked & Zero-Copy Host Memory
  • Parallel Programming and Computational Thinking
  • Physics processing unit (PPU)
  • Programming models, frameworks, CUDA, OpenCL, communication libraries
  • Ray tracing hardware
  • Run MEX-Functions Containing CUDA Code
  • Video Display Controller