Single instruction, multiple data (SIMD) is the concept of having each instruction operate on a small chunk or vector of data elements.
This is the message received from running a script to check if Tensorflow is working: I tensorflow/stream_executor/dso_…
tensorflow x86 compiler-optimization simd compiler-optionsI did searched on web and intel Software manual . But am unable to confirm if all Intel 64 architectures support upto …
x86-64 intel cpu-architecture simdWhich header files provide the intrinsics for the different x86 SIMD instruction set extensions (MMX, SSE, AVX, ...)? It seems impossible …
x86 header-files sse simd intrinsicsI am new to optimizing code with SSE/SSE2 instructions and until now I have not gotten very far. To …
c optimization memory sse simdThe v4 series of the gcc compiler can automatically vectorize loops using the SIMD processor on some modern CPUs, such …
gcc compiler-optimization simd auto-vectorization vector-processingGiven a vector of three (or four) floats. What is the fastest way to sum them? Is SSE (movaps, shuffle, …
assembly optimization floating-point sse simdOpenMP 4.0 introduces a new construct called "omp simd". What is the benefit of using this construct over the old "parallel …
c++ c performance openmp simd