simd - What is "vectorization"? - Stack Overflow
WEBSep 14, 2009 · Vectorization is the term for converting a scalar program to a vector program. Vectorized programs can run multiple operations from a single instruction, whereas scalar can only operate on pairs of operands at once. From wikipedia: Scalar approach: for (i = 0; i < 1024; i++) {. C[i] = A[i]*B[i];
python - What is vectorization? - Stack Overflow
WEBDec 11, 2017 · Arrays are important because they enable you to express batch operations on data without writing any for loops. This is usually called vectorization. Any arithmetic operations between equal-size arrays applies the …
c++ - What does vectorization mean? - Stack Overflow
WEBOct 4, 2009 · As mentioned above, vectorization is used to make use of SIMD instructions, which can perform identical operations of different data packed into large registers. A generic guideline to enable a compiler to autovectorize a loop is to ensure that there are no flow- and anti-dependencies b/w data elements in different iterations of a loop.
Why is vectorization, faster in general, than loops?
WEBJan 30, 2016 · Vectorization performs the calculation for many cells/elements/nodes in parallel. Vectorization uses special hardware. Unlike a multicore CPU, for which each of the parallel processing units is a fully functional CPU core, vector processing units can perform only simple operations, and all the units perform the same operation at the same time ...
python - Vectorizing a function in pandas - Stack Overflow
WEBDec 20, 2014 · Pandas Vectorization with Function on Parts of Column. 4. Pandas: vectorization with function on two ...
optimization - Do we need vectorization in C++ or are for loops …
WEBElapsed time is 1.278207 seconds. % For loop Elapsed time is 0.099234 seconds. % Vectorization So the vectorized code is almost 13 times faster. Actually, if we run it again we get: Elapsed time is 0.200800 seconds. % For loop Elapsed time is 0.103183 seconds. % Vectorization The vectorized code is now only 2 times as fast instead of 13 times ...
vectorization - how to pass list of lists for vectorize python - Stack ...
WEBAug 14, 2019 · For vectorization of python code, I have seen an example of passing a list of numbers for which our function is to be executed. example : def myfunc(a, b): "Return a-b if a>b, otherwise retu...
vectorization - How does MATLAB vectorized code work "under …
WEBSep 27, 2012 · Matlab 'vectorization', as the word is commonly used, is only about expressing loops in the form of (vectors of) matrix indices, and sometimes about writing things in terms of basic matrix/vector operations (BLAS), instead of writing the loop itself. Matlab 'vectorized' code is not necessarily expressed as vectorized CPU instructions.
Vectorization: when is worth manually unrolling loops?
WEBMay 6, 2020 · As a remark, it is generally better to let the compiler optimize the code these days because it "knows" better the architecture possibilities. There is some cases where unrolling the loops will not be faster. If someone see this and need it, there is the -funroll-loops flag in GCC. answered May 6, 2020 at 11:32. Welgriv.
python - Performance of Pandas apply vs np.vectorize to create …
WEBOct 6, 2018 · I will start by saying that the power of Pandas and NumPy arrays is derived from high-performance vectorised calculations on numeric arrays. 1 The entire point of vectorised calculations is to avoid Python-level loops by moving calculations to highly optimised C code and utilising contiguous memory blocks. 2