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Since Cilk procedures can call C procedures directly, but C procedures cannot directly call or spawn Cilk procedures, this keyword is needed to distinguish Cilk code from C code. Cilk Plus removes this restriction, as well as the cilk keyword, so C and C++ functions can call into Cilk Plus code and vice versa.
Cilk Plus, Threading Building Blocks, Intel Array Building Blocks Intel Parallel Building Blocks (PBB) was a collection of three programming solutions designed for multithreaded parallel computing . PBB consisted of Cilk Plus , Threading Building Blocks (TBB) and Intel Array Building Blocks (ArBB).
Cilk Plus's array slicing differs from Fortran's in two ways: the second parameter is the length (number of elements in the slice) instead of the upper bound, in order to be consistent with standard C libraries; slicing never produces a temporary, and thus never needs to allocate memory.
All major statistical software packages perform least squares regression analysis and inference. Simple linear regression and multiple regression using least squares can be done in some spreadsheet applications and on some calculators. While many statistical software packages can perform various types of nonparametric and robust regression ...
c = a + b In addition to support for vectorized arithmetic and relational operations, these languages also vectorize common mathematical functions such as sine. For example, if x is an array, then y = sin (x) will result in an array y whose elements are sine of the corresponding elements of the array x. Vectorized index operations are also ...
Sliced inverse regression (SIR) is a tool for dimensionality reduction in the field of multivariate statistics. [ 1 ] In statistics , regression analysis is a method of studying the relationship between a response variable y and its input variable x _ {\displaystyle {\underline {x}}} , which is a p -dimensional vector.
Single instruction, multiple data. Single instruction, multiple data (SIMD) is a type of parallel processing in Flynn's taxonomy.SIMD can be internal (part of the hardware design) and it can be directly accessible through an instruction set architecture (ISA), but it should not be confused with an ISA.
ZPL uses the array abstraction to implement a data parallel programming model. This is the reason why ZPL achieves such good performance: having no parallel directives or other forms of explicit parallelism, ZPL exploits the operational trait that when aggregate computations are described in terms of arrays, many scalar operations must be (implicitly) performed to implement the array operations.