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Efficient Scaling in a Task Based Game Engine Part 3

  • Segment 2 of 3
  • August 25, 2011
  • Jerry Makare (Intel)
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Personal computers continue their rapid performance improvements . Get the most out of the latest hardware, and scale efficiently between 2 and 6 (or more) CPU cores using Tasking. Tasking decouples algorithmic parallelism from implementation, allo

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Personal computers continue their rapid performance improvements . Get the most out of the latest hardware, and scale efficiently between 2 and 6 (or more) CPU cores using Tasking.  Tasking decouples algorithmic parallelism from implementation, allowing your technology to scale to ‘N’ cores. Yannis Minadakis describes the parallization of a sample’s rendering and animation logic and investigates the performance pitfalls encountered along the way.

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Date Added | Popularity
Date Series Author
August 25, 2011 Efficient Scaling in a Task Based Game Engine
  • 1
    Personal computers continue their rapid performance improvements . Get the most out of the latest hardware, and scale efficiently between 2 and 6 (or more) CPU cores using Tasking. Tasking decouples algorithmic parallelism from implementation, allo
  • 2
    Personal computers continue their rapid performance improvements . Get the most out of the latest hardware, and scale efficiently between 2 and 6 (or more) CPU cores using Tasking. Tasking decouples algorithmic parallelism from implementation, allo
 Jerry Makare (Intel)
August 25, 2011 Cowboy Hat Demo
  • 1
    Xintian Wu, Intel Software Architect walks through an example application that demonstrates use of face recognition using sample code from the Media SDK 2.0.
 Jerry Makare (Intel)
August 24, 2011 GDCE 2010:
  • 1
    During GDCE 2010 Leigh Davies from Intel showed us the tool suite Intel Graphics Performance Analyzers in detail. The second part covers the Frame Analyser.
  • 2
    Part 3/3 of Intel Graphics Performance Analyzers live-demo which is showing the Platform View.
 Michael J Huelskoetter
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