I am trying to 开发者_StackOverflowmultiply two vectors together where each element of one vector is multiplied by the element in the same index at the other vector.I then want to sum all the elements
I Want to optimize the following function using SIMD (SSE2 & such): int64_t fun(int64_t N, int size, int* p)
I am using Intel Core2Duo E4500 processor. 开发者_运维问答It is supposed to have SSE3, SSSE3 facilities. But if I try to use them in programs it shows the following error \"SSE3 instruction set not en
I am using SIMD to compute fast exponentiation result. I compare the timing with non-simd code. The exponentiation is implemented using square and multiply algorithm.
How to use the NEON comparison instructions in general? Here is a case, I want to use, Greater-than-or-equal-to instruction?
(Sorry if this sounds like a rant, but it\'s a real question and I\'d appreciate real answers) I understand that since C is so old, it might have not made sense to add it back then(MMX didn\'t even e
I need to optimize some C code, which does lots of physics computations, using SIMD extensions on the SPE of the Cell Processor. Each vector operator can process 4 floats at the same time. So ideally
I have the code: float *mu_x_ptr; __m128 *tmp; __m128 *mm_mu_x; mu_x_ptr = _aligned_malloc(4*sizeof(float), 16);
Many SSE instructions allow th开发者_StackOverflow中文版e source operand to be a 16-byte aligned memory address. For example, the various (un)pack instructions. PUNCKLBW has the following signature:
I\'m making use of an ARM Cortex-A8 based processor and I have several places where I calculate 3x3 Matrix inverse operations.
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