For vectorization as a programming idiom, see Array programming. For automatic conversion of raster graphics to vector graphics, see Automatic image tracing.
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Automatic vectorization, in parallel computing, is a special case of automatic parallelization, where a computer program is converted from a scalar implementation, which processes a single pair of operands at a time, to a vector implementation, which processes one operation on multiple pairs of operands at once. For example, modern conventional computers, including specialized supercomputers, typically have vector operations that simultaneously perform operations such as the following four additions (via SIMD or SPMD hardware):
However, in most programming languages one typically writes loops that sequentially perform additions of many numbers. Here is an example of such a loop, written in C:
for(i=0;i<n;i++)c[i]=a[i]+b[i];
A vectorizing compiler transforms such loops into sequences of vector operations. These vector operations perform additions on blocks of elements from the arrays a, b and c. Automatic vectorization is a major research topic in computer science.[citation needed]
and 27 Related for: Automatic vectorization information
Automaticvectorization, in parallel computing, is a special case of automatic parallelization, where a computer program is converted from a scalar implementation...
Look up vectorization in Wiktionary, the free dictionary. Vectorization may refer to: Array programming, a style of computer programming where operations...
Scalable Vector Extension (SVE) is "an optional extension to the ARMv8.2-A architecture and newer" developed specifically for vectorization of high-performance...
graphics, image tracing, raster-to-vector conversion or raster vectorization is the conversion of raster graphics into vector graphics. An image does not have...
transformation may create opportunities to further optimize, such as automaticvectorization of the array assignments. The major purpose of loop interchange...
transformation is also sometimes called vectorization, but is completely unrelated to automaticvectorization. The original flattening algorithm was concerned...
SSE/SSE2 scalar code when the target supports those instructions. Automaticvectorization for SSE/SSE2 has been added since GCC 4. The Sun Studio Compiler...
version, including automaticvectorization, was known as CVC, pronounced "Civic" like the Honda car of the period, for Cray Vector Compiler. Some controversy...
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system (1977), which was the first testbed for the development of automaticvectorization and related program transformations. In his role as Director (1986–93)...
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aggregates. Array dependence based optimizations such as automaticvectorization and automatic parallelization are also performed. Profile-guided optimization...
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addition, it can be generated in a way to consistently utilize native CPU vectorization to process 4(8)-double chunks of user data (AVX2\AVX512 speed up x4-x8)...
polynomial (which automatically happens for F algebraically closed, such as F = C) any linear map has at least one eigenvector. The vector space V may or...
for vectorization and threading, check loop-carried dependencies and memory access patterns for marked loops, and insert pragmas for vectorization and...
The Vector W2 is a concept car constructed by Vector Motors in 1978. The concept went into production as the Vector W8 in 1990. The name comes from the...
(1975), "A Vector Space Model for Automatic Indexing" Communications of the ACM, vol. 18, nr. 11, pages 613–620. (Article in which a vector space model...
versions can be useful to improve old code without needing to widen the vectorization, and avoid the penalty of going from SSE to AVX, they are also faster...
programmers needing to be concerned with identifying parallelisms, specifying vectorization, avoiding race conditions, and other challenges of manual directive-based...