By Alex A. Lopez-Estrada Applications Engineer, Intel Software and Solutions Group
This article provides an overview of an improved SIMD optimized rendering pipeline of animated models.
More Information about using Intel® IPP in Java* applications
Information about Intel® Integrated Performance Primitives (Intel® IPP) memory functions
Q: How to get Intel® Integrated Performance Primitives (Intel® IPP) Static threaded libraries?
SIMD (for single instruction, multiple data) enables one arithmetic instruction to be performed across multiple data items simultaneously. This article lightly touches on the advantages of SIMD for parallel applications.
Using Intel® Streaming SIMD Extensions and Intel® Integrated Performance Primitives to Accelerate AlgorithmsThis paper examines how to use Intel® SSE to accelerate an image processing application, how to take advantage of it using compiler directives for optimal SIMD code generation, and how to employ Intel® IPP to fully exploit SIMD acceleration.
High quality image and video processing has become an important part in many professional and consumer applications. This article shares insights and methods gained during a shared work by HP* Labs and Intel on optimizing several imaging algorithms.
Image Processing Acceleration Techniques using Intel® Streaming SIMD Extensions and Intel® Advanced Vector ExtensionsThis article details optimized implementations of data transformations and algorithms together with analysis comparing performance and providing speedup measurements for Intel® SSE optimized code and estimates for Intel® AVX optimized code.