Explains which Intel® Compiler switches to use to target and optimize for a specific platform, microarchitecture, CPU or processor.
In Medical Imaging, it is important to maximize healthcare quality by providing the best images in the shortest time to assure accurate diagnosis & patient treatment. This article describes the 50x speedup of an image reconstruction algorithm.
This article describes novel techniques developed to optimize DreamWork Animation's rendering, animation, and special effects applications without recompiling or relinking by preloading highly optimized libraries at run-time.
This 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.
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.