The following pseudocode illustrates this behavior: Vector<E> a = ...; VectorSpecies<E> species = a.species(); Vector<E> b = ...; b.check(species); VectorMask<E> m = ...; ETYPE[] ar = a.toArray(); for (int i = 0; i < ar.length; i++) { if (m.laneIsSet(i)) ...
One thing that is common among these types of computation is repetitive multiplication on different sets of data and accumulation of sums of these products. Let us analyze what goes on in finding the dot product of two vectors using conventional sequential processor. The pseudocode for dot product...
Give the pseudocode for this. Now consider the case of unrolling by 4. What does the unrolled code look like now? Think carefully about the cleanup code. Show moreView chapter Chapter Parallel Numerical Methods in Finance High Performance Parallelism Pearls Book2015, High Performance Parallelism ...
Address of the XMXDECN4 structure to load. Return value Returns an XMVECTOR loaded with the data from the pSource parameter. Remarks The following pseudocode demonstrates the operation of the function. Copy XMVECTOR vectorOut; uint32_t Element; static const uint32_t SignExtend[] = ...
Here are the basic trigonometric functions we will use (in pseudocode). Length(v) = SquareRoot(v.x*v.x + v.y*v.y) LengthSqr(v) = v.x*v.x + v.y*v.yIt’s common to use the length squared as an optimization. When comparing distances with <, >, <= or >= the result is th...
The selection of an algorithm to solve a problem is greatly influenced by the way the input ___ for that problem are organized. a) words. b) data. c) solutions. d) pseudocode. Calculate the number of permutations of the set {V, W, X, Y, Z...
Address of the XMU565 structure to load. Return value Returns an XMVECTOR loaded with the data from the pSource parameter. Remarks The following pseudocode demonstrates the operation of the function. Copy XMVECTOR vectorOut; vectorOut.x = (float)pSource->x; vectorOut.y = (float)pSo...
Thus pseudocode for a serial program for matrix-vector multiplication might look like this: Sign in to download full-size image We want to parallelize this by dividing the work among the threads. One possibility is to divide the iterations of the outer loop among the threads. If we do this...
The following examples introduce Macroscalar operations and demonstrate their use in vectorizing loops such as the loop shown in FIG. 3 and described above in the parallelized loop example. For ease of understanding, these examples are presented using pseudocode in the C++ format. It is noted tha...
The process used by the described embodiments to analyze a DIV to determine where a vector should be broken is shown in pseudocode below. In some embodiments, processor 102 performs this calculation in parallel. For example: List = <empty>; for (x=STARTPOS; x<VECLEN; ++x) if (DIV[x] ...