Reference documentation for deal.II version 9.1.1

#include <deal.II/base/vectorization.h>
Public Member Functions  
VectorizedArray &  operator= (const Number scalar) 
Number &  operator[] (const unsigned int comp) 
const Number &  operator[] (const unsigned int comp) const 
VectorizedArray &  operator+= (const VectorizedArray< Number > &vec) 
VectorizedArray &  operator= (const VectorizedArray< Number > &vec) 
VectorizedArray &  operator*= (const VectorizedArray< Number > &vec) 
VectorizedArray &  operator/= (const VectorizedArray< Number > &vec) 
void  load (const Number *ptr) 
void  store (Number *ptr) const 
void  streaming_store (Number *ptr) const 
void  gather (const Number *base_ptr, const unsigned int *offsets) 
void  scatter (const unsigned int *offsets, Number *base_ptr) const 
Public Attributes  
Number  data 
Static Public Attributes  
static const unsigned int  n_array_elements = 1 
Private Member Functions  
VectorizedArray  get_sqrt () const 
VectorizedArray  get_abs () const 
VectorizedArray  get_max (const VectorizedArray &other) const 
VectorizedArray  get_min (const VectorizedArray &other) const 
Friends  
template<typename Number2 >  
VectorizedArray< Number2 >  std::sqrt (const VectorizedArray< Number2 > &) 
Related Functions  
(Note that these are not member functions.)  
template<typename Number >  
VectorizedArray< Number >  make_vectorized_array (const Number &u) 
template<typename Number >  
void  vectorized_load_and_transpose (const unsigned int n_entries, const Number *in, const unsigned int *offsets, VectorizedArray< Number > *out) 
template<typename Number >  
void  vectorized_transpose_and_store (const bool add_into, const unsigned int n_entries, const VectorizedArray< Number > *in, const unsigned int *offsets, Number *out) 
template<typename Number >  
bool  operator== (const VectorizedArray< Number > &lhs, const VectorizedArray< Number > &rhs) 
template<typename Number >  
VectorizedArray< Number >  operator+ (const VectorizedArray< Number > &u, const VectorizedArray< Number > &v) 
template<typename Number >  
VectorizedArray< Number >  operator (const VectorizedArray< Number > &u, const VectorizedArray< Number > &v) 
template<typename Number >  
VectorizedArray< Number >  operator* (const VectorizedArray< Number > &u, const VectorizedArray< Number > &v) 
template<typename Number >  
VectorizedArray< Number >  operator/ (const VectorizedArray< Number > &u, const VectorizedArray< Number > &v) 
template<typename Number >  
VectorizedArray< Number >  operator+ (const Number &u, const VectorizedArray< Number > &v) 
VectorizedArray< float >  operator+ (const double u, const VectorizedArray< float > &v) 
template<typename Number >  
VectorizedArray< Number >  operator+ (const VectorizedArray< Number > &v, const Number &u) 
VectorizedArray< float >  operator+ (const VectorizedArray< float > &v, const double u) 
template<typename Number >  
VectorizedArray< Number >  operator (const Number &u, const VectorizedArray< Number > &v) 
VectorizedArray< float >  operator (const double u, const VectorizedArray< float > &v) 
template<typename Number >  
VectorizedArray< Number >  operator (const VectorizedArray< Number > &v, const Number &u) 
VectorizedArray< float >  operator (const VectorizedArray< float > &v, const double u) 
template<typename Number >  
VectorizedArray< Number >  operator* (const Number &u, const VectorizedArray< Number > &v) 
VectorizedArray< float >  operator* (const double u, const VectorizedArray< float > &v) 
template<typename Number >  
VectorizedArray< Number >  operator* (const VectorizedArray< Number > &v, const Number &u) 
VectorizedArray< float >  operator* (const VectorizedArray< float > &v, const double u) 
template<typename Number >  
VectorizedArray< Number >  operator/ (const Number &u, const VectorizedArray< Number > &v) 
VectorizedArray< float >  operator/ (const double u, const VectorizedArray< float > &v) 
template<typename Number >  
VectorizedArray< Number >  operator/ (const VectorizedArray< Number > &v, const Number &u) 
VectorizedArray< float >  operator/ (const VectorizedArray< float > &v, const double u) 
template<typename Number >  
VectorizedArray< Number >  operator+ (const VectorizedArray< Number > &u) 
template<typename Number >  
VectorizedArray< Number >  operator (const VectorizedArray< Number > &u) 
template<typename Number >  
VectorizedArray< Number >  sin (const ::VectorizedArray< Number > &x) 
template<typename Number >  
VectorizedArray< Number >  cos (const ::VectorizedArray< Number > &x) 
template<typename Number >  
VectorizedArray< Number >  tan (const ::VectorizedArray< Number > &x) 
template<typename Number >  
VectorizedArray< Number >  exp (const ::VectorizedArray< Number > &x) 
template<typename Number >  
VectorizedArray< Number >  log (const ::VectorizedArray< Number > &x) 
template<typename Number >  
VectorizedArray< Number >  sqrt (const ::VectorizedArray< Number > &x) 
template<typename Number >  
VectorizedArray< Number >  pow (const ::VectorizedArray< Number > &x, const Number p) 
template<typename Number >  
VectorizedArray< Number >  abs (const ::VectorizedArray< Number > &x) 
template<typename Number >  
VectorizedArray< Number >  max (const ::VectorizedArray< Number > &x, const ::VectorizedArray< Number > &y) 
template<typename Number >  
VectorizedArray< Number >  min (const ::VectorizedArray< Number > &x, const ::VectorizedArray< Number > &y) 
This generic class defines a unified interface to a vectorized data type. For general template arguments, this class simply corresponds to the template argument. For example, VectorizedArray<long double> is nothing else but a wrapper around long double
with exactly one data field of type long double
and overloaded arithmetic operations. This means that VectorizedArray<ComplicatedType>
has a similar layout as ComplicatedType, provided that ComplicatedType defines basic arithmetic operations. For floats and doubles, an array of numbers are packed together, though. The number of elements packed together depend on the computer system and compiler flags that are used for compilation of deal.II. The fundamental idea of these packed data types is to use one single CPU instruction to perform arithmetic operations on the whole array using the processor's vector units. Most computer systems by 2010 standards will use an array of two doubles and four floats, respectively (this corresponds to the SSE/SSE2 data sets) when compiling deal.II on 64bit operating systems. On Intel Sandy Bridge processors and newer or AMD Bulldozer processors and newer, four doubles and eight floats are used when deal.II is configured e.g. using gcc with –withcpu=native or –with cpu=corei7avx. On compilations with AVX512 support, eight doubles and sixteen floats are used.
This behavior of this class is made similar to the basic data types double and float. The definition of a vectorized array does not initialize the data field but rather leaves it undefined, as is the case for double and float. However, when calling something like VectorizedArray<double> a = VectorizedArray<double>(), it sets all numbers in this field to zero. In other words, this class is a plain old data (POD) type which has an equivalent C representation and can e.g. be safely copied with std::memcpy. This POD layout is also necessary for ensuring correct alignment of data with address boundaries when collected in a vector (i.e., when the first element in a vector is properly aligned, all subsequent elements will be correctly aligned, too).
Note that for proper functioning of this class, certain data alignment rules must be respected. This is because the computer expects the starting address of a VectorizedArray<double> field at specific addresses in memory (usually, the address of the vectorized array should be a multiple of the length of the array in bytes). Otherwise, a segmentation fault or a severe loss of performance might occur. When creating a single data field on the stack like VectorizedArray<double> a = VectorizedArray<double>()
, the compiler will take care of data alignment automatically. However, when allocating a long vector of VectorizedArray<double> data, one needs to respect these rules. Use the class AlignedVector or data containers based on AlignedVector (such as Table) for this purpose. It is a class very similar to std::vector otherwise but always makes sure that data is correctly aligned.
Definition at line 36 of file memory_consumption.h.

inline 
This function assigns a scalar to this class.
Definition at line 191 of file vectorization.h.

inline 
Access operator (only valid with component 0)
Definition at line 201 of file vectorization.h.

inline 
Constant access operator (only valid with component 0)
Definition at line 212 of file vectorization.h.

inline 
Addition
Definition at line 224 of file vectorization.h.

inline 
Subtraction
Definition at line 235 of file vectorization.h.

inline 
Multiplication
Definition at line 246 of file vectorization.h.

inline 
Division
Definition at line 257 of file vectorization.h.

inline 
Load n_array_elements
from memory into the calling class, starting at the given address. The memory need not be aligned by the amount of bytes in the vectorized array, as opposed to casting a double address to VectorizedArray<double>*.
Definition at line 271 of file vectorization.h.

inline 
Write the content of the calling class into memory in form of n_array_elements
to the given address. The memory need not be aligned by the amount of bytes in the vectorized array, as opposed to casting a double address to VectorizedArray<double>*.
Definition at line 284 of file vectorization.h.

inline 
Write the content of the calling class into memory in form of n_array_elements
to the given address using nontemporal stores that bypass the processor's caches, using _mm_stream_pd
store intrinsics on supported CPUs. The destination of the store ptr
must be aligned by the amount of bytes in the vectorized array.
This store operation can be faster than usual store operations in case the store is streaming because it avoids the readforownership transfer typically invoked in standard stores. This approximately works as follows (see the literature on computer architecture for details): When an algorithm stores some results to a memory address, a processor typically wants to move it into some of its caches as it expects the data to be reused again at some point. Since caches are organized in lines of sizes either 64 byte or 128 byte but writes are usually smaller, a processor must first load in the destination cache line upon a write because only part of the cache line is overwritten initially. If a series of stores write data in a chunk bigger than any of its caches could handle, the data finally has to be moved out from the caches to main memory. But since all addressed have first been read, this doubles the load on main memory, which can incur a performance penalty. Furthermore, the organization of caches in a multicore context also requires reading an address before something can be written to cache to that address, see e.g. the Wikipedia article on the MESI protocol for details. The instruction underlying this function call signals to the processor that these two prerequisites on a store are relaxed: Firstly, one expects the whole cache line to be overwritten (that the memory subsystem then handles appropriately), so no need to first read the "remainder" of the cache line. Secondly, the data behind that particular memory will not be subject to cache coherency protocol as it will be in main memory both when the same processor wants to access it again as well as any other processors in a multicore chip. Due to this particular setup, any subsequent access to the data written by this function will need to query main memory, which is slower than an access from a cache both latencywise and throughputwise. Thus, this command should only be used for large stores that will collectively not fit into caches, as performance will be degraded otherwise. For a typical use case, see also this blog article.
Note that streaming stores are only available in the specialized SSE/AVX classes of VectorizedArray of type double
or float
, not in the generic base class.
Definition at line 335 of file vectorization.h.

inline 
Load n_array_elements
from memory into the calling class, starting at the given address and with given offsets, each entry from the offset providing one element of the vectorized array.
This operation corresponds to the following code (but uses a more efficient implementation in case the hardware allows for that):
Definition at line 354 of file vectorization.h.

inline 
Write the content of the calling class into memory in form of n_array_elements
to the given address and the given offsets, filling the elements of the vectorized array into each offset.
This operation corresponds to the following code (but uses a more efficient implementation in case the hardware allows for that):
Definition at line 373 of file vectorization.h.

inlineprivate 
Return the square root of this field. Not for use in user code. Use sqrt(x) instead.
Definition at line 391 of file vectorization.h.

inlineprivate 
Return the absolute value of this field. Not for use in user code. Use abs(x) instead.
Definition at line 404 of file vectorization.h.

inlineprivate 
Return the componentwise maximum of this field and another one. Not for use in user code. Use max(x,y) instead.
Definition at line 417 of file vectorization.h.

inlineprivate 
Return the componentwise minimum of this field and another one. Not for use in user code. Use min(x,y) instead.
Definition at line 430 of file vectorization.h.

friend 
Make a few functions friends.

related 
Create a vectorized array that sets all entries in the array to the given scalar.
Definition at line 468 of file vectorization.h.

related 
This method loads VectorizedArray::n_array_elements data streams from the given array in
. The offsets to the input array are given by the array offsets
. From each stream, n_entries are read. The data is then transposed and stored it into an array of VectorizedArray type. The output array out
is expected to be an array of size n_entries
. This method operates on plain arrays, so no checks for valid data access are made. It is the user's responsibility to ensure that the given arrays are valid according to the access layout below.
This operation corresponds to a transformation of an arrayofstruct (input) into a structofarray (output) according to the following formula:
A more optimized version of this code will be used for supported types.
This is the inverse operation to vectorized_transpose_and_store().
Definition at line 504 of file vectorization.h.

related 
This method stores the vectorized arrays in transposed form into the given output array out
with the given offsets offsets
. This operation corresponds to a transformation of a structofarray (input) into an array ofstruct (output). This method operates on plain array, so no checks for valid data access are made. It is the user's responsibility to ensure that the given arrays are valid according to the access layout below.
This method assumes that the specified offsets do not overlap. Otherwise, the behavior is undefined in the vectorized case. It is the user's responsibility to make sure that the access does not overlap and avoid undefined behavior.
The argument add_into
selects where the entries should only be written into the output arrays or the result should be added into the existing entries in the output. For add_into == false
, the following code is assumed:
For add_into == true
, the code implements the following action:
A more optimized version of this code will be used for supported types.
This is the inverse operation to vectorized_load_and_transpose().
Definition at line 556 of file vectorization.h.

related 
Relational operator == for VectorizedArray
Definition at line 3359 of file vectorization.h.

related 
Addition of two vectorized arrays with operator +.
Definition at line 3377 of file vectorization.h.

related 
Subtraction of two vectorized arrays with operator .
Definition at line 3390 of file vectorization.h.

related 
Multiplication of two vectorized arrays with operator *.
Definition at line 3403 of file vectorization.h.

related 
Division of two vectorized arrays with operator /.
Definition at line 3416 of file vectorization.h.

related 
Addition of a scalar (expanded to a vectorized array with n_array_elements
equal entries) and a vectorized array.
Definition at line 3430 of file vectorization.h.

related 
Addition of a scalar (expanded to a vectorized array with n_array_elements
equal entries) and a vectorized array in case the scalar is a double (needed in order to be able to write simple code with constants that are usually double numbers).
Definition at line 3446 of file vectorization.h.

related 
Addition of a vectorized array and a scalar (expanded to a vectorized array with n_array_elements
equal entries).
Definition at line 3461 of file vectorization.h.

related 
Addition of a vectorized array and a scalar (expanded to a vectorized array with n_array_elements
equal entries) in case the scalar is a double (needed in order to be able to write simple code with constants that are usually double numbers).
Definition at line 3475 of file vectorization.h.

related 
Subtraction of a vectorized array from a scalar (expanded to a vectorized array with n_array_elements
equal entries).
Definition at line 3488 of file vectorization.h.

related 
Subtraction of a vectorized array from a scalar (expanded to a vectorized array with n_array_elements
equal entries) in case the scalar is a double (needed in order to be able to write simple code with constants that are usually double numbers).
Definition at line 3504 of file vectorization.h.

related 
Subtraction of a scalar (expanded to a vectorized array with n_array_elements
equal entries) from a vectorized array.
Definition at line 3519 of file vectorization.h.

related 
Subtraction of a scalar (expanded to a vectorized array with n_array_elements
equal entries) from a vectorized array in case the scalar is a double (needed in order to be able to write simple code with constants that are usually double numbers).
Definition at line 3535 of file vectorization.h.

related 
Multiplication of a scalar (expanded to a vectorized array with n_array_elements
equal entries) and a vectorized array.
Definition at line 3550 of file vectorization.h.

related 
Multiplication of a scalar (expanded to a vectorized array with n_array_elements
equal entries) and a vectorized array in case the scalar is a double (needed in order to be able to write simple code with constants that are usually double numbers).
Definition at line 3566 of file vectorization.h.

related 
Multiplication of a vectorized array and a scalar (expanded to a vectorized array with n_array_elements
equal entries).
Definition at line 3581 of file vectorization.h.

related 
Multiplication of a vectorized array and a scalar (expanded to a vectorized array with n_array_elements
equal entries) in case the scalar is a double (needed in order to be able to write simple code with constants that are usually double numbers).
Definition at line 3595 of file vectorization.h.

related 
Quotient between a scalar (expanded to a vectorized array with n_array_elements
equal entries) and a vectorized array.
Definition at line 3608 of file vectorization.h.

related 
Quotient between a scalar (expanded to a vectorized array with n_array_elements
equal entries) and a vectorized array in case the scalar is a double (needed in order to be able to write simple code with constants that are usually double numbers).
Definition at line 3624 of file vectorization.h.

related 
Quotient between a vectorized array and a scalar (expanded to a vectorized array with n_array_elements
equal entries).
Definition at line 3639 of file vectorization.h.

related 
Quotient between a vectorized array and a scalar (expanded to a vectorized array with n_array_elements
equal entries) in case the scalar is a double (needed in order to be able to write simple code with constants that are usually double numbers).
Definition at line 3655 of file vectorization.h.

related 
Unary operator + on a vectorized array.
Definition at line 3669 of file vectorization.h.

related 
Unary operator  on a vectorized array.
Definition at line 3681 of file vectorization.h.

related 
Compute the sine of a vectorized data field. The result is returned as vectorized array in the form {sin(x[0]), sin(x[1]), ..., sin(x[n_array_elements1])}
.
Definition at line 3709 of file vectorization.h.

related 
Compute the cosine of a vectorized data field. The result is returned as vectorized array in the form {cos(x[0]), cos(x[1]), ..., cos(x[n_array_elements1])}
.
Definition at line 3737 of file vectorization.h.

related 
Compute the tangent of a vectorized data field. The result is returned as vectorized array in the form {tan(x[0]), tan(x[1]), ..., tan(x[n_array_elements1])}
.
Definition at line 3760 of file vectorization.h.

related 
Compute the exponential of a vectorized data field. The result is returned as vectorized array in the form {exp(x[0]), exp(x[1]), ..., exp(x[n_array_elements1])}
.
Definition at line 3783 of file vectorization.h.

related 
Compute the natural logarithm of a vectorized data field. The result is returned as vectorized array in the form {log(x[0]), log(x[1]), ..., log(x[n_array_elements1])}
.
Definition at line 3806 of file vectorization.h.

related 
Compute the square root of a vectorized data field. The result is returned as vectorized array in the form {sqrt(x[0]), sqrt(x[1]), ..., sqrt(x[n_array_elements1])}
.
Definition at line 3829 of file vectorization.h.

related 
Raises the given number x
to the power p
for a vectorized data field. The result is returned as vectorized array in the form {pow(x[0],p), pow(x[1],p), ..., pow(x[n_array_elements1],p)}
.
Definition at line 3845 of file vectorization.h.

related 
Compute the absolute value (modulus) of a vectorized data field. The result is returned as vectorized array in the form {abs(x[0]), abs(x[1]), ..., abs(x[n_array_elements1])}
.
Definition at line 3868 of file vectorization.h.

related 
Compute the componentwise maximum of two vectorized data fields. The result is returned as vectorized array in the form {max(x[0],y[0]), max(x[1],y[1]), ...}
.
Definition at line 3884 of file vectorization.h.

related 
Compute the componentwise minimum of two vectorized data fields. The result is returned as vectorized array in the form {min(x[0],y[0]), min(x[1],y[1]), ...}
.
Definition at line 3901 of file vectorization.h.

static 
This gives the number of elements collected in this class. In the general case, there is only one element. Specializations use SIMD intrinsics and can work on multiple elements at the same time.
Definition at line 181 of file vectorization.h.
Number VectorizedArray< Number >::data 
Actual data field. Since this class represents a POD data type, it is declared public.
Definition at line 382 of file vectorization.h.