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43: Aggressive Performance Optimizations For 3D Graphics
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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