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 ?
I am trying to normalize a 4d vector. My first approch was to use SSE intrinsics - something that provided a 2 times speed boost to my vector arithmetic.
My (simd) implementation takes varied amount of time, though it is run for fixed input. The running time varies between say 100 million clock cycles to 120 million clock cycles. The program calls a fu
In a project I\'m currently working on I often need to find the lo开发者_JS百科west possible index in a sorted array at which an element can be inserted (like std::lower_bound in C++).
Greetings. I\'m trying to approximate the function Log10[x^k0 + k1], where .21 < k0 < 21, 0 < k1 < ~2000, and x is integer < 2^14.
I see a code as below: #include \"stdio.h\" #define VECTOR_SIZE4 typedef float v4sf __attribute__ ((vector_size(sizeof(float)*VECTOR_SIZE)));
In my current project, I have to compare 128bit values (actually md5 hashes) and I thought it would be possible to accelerate the comparison by using SSE instructions. My problem is that I can\'t man
What is the simple equivalent C code to overc开发者_如何学JAVAome __ functions like _mm_store_ps, _mm_add_ps, etc. Please specify anyone function through an example with the equivalent C code.
Suppose I have an array: uint8_t arr[256]; and an element __m128i x containing 16 bytes, x_1, x_2, ... x_16
int u1, u2; unsigned long elm1[20], _mulpre[16][20], res1[40], res2[40]; 64 bits long res1, res2 initialized to zero.
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