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43: Aggressive Performance Optimizations For 3D Graphics
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Tuesday, Full Day, 8:30 am - 5 pm
Location: CAL

Through hands-on experience with actual performance measurements, analysis, and optimizations using well-established methodologies and techniques, this course imparts a working knowledge of performance optimizations for 3D graphics programs in relationship to algorithmic design, coding, and data representation. Attendees learn tool usage and optimization methodology in a series of exercises on actual, platform-independent code. Approaches include: 3D algorithmic optimizations and restructuring for target platforms, performance analysis with available profiling and event-based tools, coding techniques for performance, and data representation for efficient processing on target platform/CPU architectures.

Prerequisites
Basic knowledge of C++ and introductory knowledge of platform architecture.

Topics
Hardware: platform architecture, basic CPU architecture including SIMD extensions, memory subsystems, graphics cards. Software: data representation and organization and how it affects performance, code optimizations, memory optimizations, SIMD optimizations, high-level algorithmic optimizations.

Organizer
Haim Barad
Intel Corporation

Lecturers
Haim Barad
Dean Macri
Kim Pallister

Intel Corporation

Eric Haines
Autodesk, Inc.

Alex Klimovitski
Intel Corporation


Location: CAL (limited seating)


 

 

 

 

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