UPDATED - Check Below Will keep this as short as possible. Happy to add any more details if required. I have some sse code for normalising a vector. I\'m using QueryPerformanceCounter() (wrapped in
Here is a C++ code: #define ARR_SIZE_TEST ( 8 * 1024 * 1024 ) void cpp_tst_add( unsigned* x, unsigned* y )
Why does _mm_extract_ps return an int instead of a float? What\'s the proper way to read a single float from an XMM register in C?开发者_StackOverflow
I have an application created using VC++, and wanted to explore optimization opprtunity开发者_运维技巧 by vectorizing some operations.
Can anyone suggest a fast way to compute float floor/ceil using pre-SSE4.1 SIMD? I need to correctly handle all the corner cases, e.g. when I have a float value, that is not representable by 32-bit in
I have some code that operates on 4D vectors and I\'m currently trying to convert it to use SSE. I\'m using both clang and gcc on 64b linux.
I am looking for some help to improve this bilinear scaling sse2 code on core2 cpus On my Atom N270 and on an i7 this code is about 2x faster than the mmx code.But under core2 cpus it is only equal t
I\'m trying to perform image colour conversion from YCbCr to BGRA (Don\'t ask about the A bit, such a headache).
Hi all :) I\'m trying to get a hang on a few concepts regarding floating point, SIMD/math intrinsics and the fast-math flag for gcc. More specifically, I\'m using MinGW with gcc v4.5.0 on a x86 cpu.
Is using SSE2 intrinsic in the parallel_for a good idea ? Since the number of SSE2 registers is limited, will it give rise to penalty in terms of performance ?
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