vector class More...

#include <monolish_coo.hpp>

Collaboration diagram for monolish::vector< Float >:

Public Member Functions
Float *	begin ()
	returns a begin iterator More...

const Float *	begin () const
	returns a begin iterator More...

Float *	data ()
	returns a direct pointer to the vector More...

const Float *	data () const
	returns a direct pointer to the vector More...

void	device_free () const
	free data on GPU More...

Float *	end ()
	returns a end iterator More...

const Float *	end () const
	returns a end iterator More...

bool	equal (const vector< Float > &vec, bool compare_cpu_and_device=false) const
	Comparing matricies (A == mat) More...

bool	equal (const view1D< matrix::Dense< Float >, Float > &vec, bool compare_cpu_and_device=false) const
	Comparing matricies (A == mat) More...

bool	equal (const view1D< vector< Float >, Float > &vec, bool compare_cpu_and_device=false) const
	Comparing matricies (A == mat) More...

void	fill (Float value)
	fill vector elements with a scalar value More...

bool	get_device_mem_stat () const
	true: sended, false: not send More...

auto	get_nnz () const
	get vector size More...

size_t	get_offset () const

void	nonfree_recv ()
	recv data from GPU (w/o free) More...

bool	operator!= (const vector< Float > &vec) const
	Comparing vectors (v != vec) More...

bool	operator!= (const view1D< matrix::Dense< Float >, Float > &vec) const
	Comparing vectors (v != vec) More...

bool	operator!= (const view1D< vector< Float >, Float > &vec) const
	Comparing vectors (v != vec) More...

vector< Float >	operator- ()
	Sign inversion. More...

void	operator= (const std::vector< Float > &vec)
	copy vector from std::vector More...

void	operator= (const vector< Float > &vec)
	copy vector, It is same as copy ( Copy the memory on CPU and GPU ) More...

void	operator= (const view1D< matrix::Dense< Float >, Float > &vec)
	copy vector, It is same as copy ( Copy the memory on CPU and GPU ) More...

void	operator= (const view1D< vector< Float >, Float > &vec)
	copy vector, It is same as copy ( Copy the memory on CPU and GPU ) More...

bool	operator== (const vector< Float > &vec) const
	Comparing vectors (v == vec) More...

bool	operator== (const view1D< matrix::Dense< Float >, Float > &vec) const
	Comparing vectors (v == vec) More...

bool	operator== (const view1D< vector< Float >, Float > &vec) const
	Comparing vectors (v == vec) More...

Float &	operator[] (size_t i)
	refetrence to the element at position (v[i]) More...

void	print_all (bool force_cpu=false) const
	print all elements to standart I/O More...

void	print_all (std::string filename) const
	print all elements to file More...

void	push_back (Float val)
	Add a new element at the end of the vector (only CPU) More...

void	recv ()
	recv data from GPU, and free data on GPU More...

void	resize (size_t N)
	resize vector (only CPU) More...

void	send () const
	send data to GPU More...

auto	size () const
	get vector size More...

	vector ()

	vector (const Float start, const Float end)
	copy from pointer More...

	vector (const size_t N)
	allocate size N vector More...

	vector (const size_t N, const Float min, const Float max)
	create N length rand(min~max) vector More...

	vector (const size_t N, const Float value)
	initialize size N vector, value to fill the container More...

	vector (const std::initializer_list< Float > &list)
	copy from initializer_list More...

	vector (const std::vector< Float > &vec)
	copy from std::vector More...

	vector (const vector< Float > &vec)
	copy from monolish::vector More...

	vector (const view1D< matrix::Dense< Float >, Float > &vec)
	copy from monolish::view1D from monolish::matrix::Dense More...

	vector (const view1D< vector< Float >, Float > &vec)
	copy from monolish::view1D from vector More...

	~vector ()
	destructor of vector, free GPU memory More...

Private Attributes
bool	gpu_status = false
	true: sended, false: not send More...

std::vector< Float >	val
	size N vector data More...

Detailed Description

template<typename Float>
class monolish::vector< Float >

vector class

Note

Multi-threading: true
GPU acceleration: false

Definition at line 25 of file monolish_coo.hpp.

Constructor & Destructor Documentation

◆ vector() [1/10]

template<typename Float >

monolish::vector< Float >::vector ( )

inline

Definition at line 49 of file monolish_vector.hpp.

◆ vector() [2/10]

template<typename T >

template monolish::vector< Float >::vector ( const size_t N )

allocate size N vector

Parameters

N	vector length

Note

# of computation: N
Multi-threading: false
GPU acceleration: false

Definition at line 8 of file vector_constructor.cpp.

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◆ vector() [3/10]

template<typename Float >

monolish::vector< Float >::vector	(	const size_t	N,
		const Float	value
	)

initialize size N vector, value to fill the container

Parameters

N	vector length
value	fill Float type value to all elements

Note

# of computation: N
Multi-threading: false
GPU acceleration: false

◆ vector() [4/10]

template<typename Float >

monolish::vector< Float >::vector ( const std::vector< Float > & vec )

copy from std::vector

Parameters

vec	input std::vector

Note

# of computation: N
Multi-threading: false
GPU acceleration: false

◆ vector() [5/10]

template<typename Float >

monolish::vector< Float >::vector ( const std::initializer_list< Float > & list )

copy from initializer_list

Parameters

list	input initializer_list

Note

# of computation: N
Multi-threading: false
GPU acceleration: false

◆ vector() [6/10]

template<typename Float >

monolish::vector< Float >::vector ( const vector< Float > & vec )

copy from monolish::vector

Parameters

vec	input monolish::vector

Note

# of computation: N
Multi-threading: true
GPU acceleration: true
- # of data transfer: N (only allocation)
  - if gpu_status == true; coping data on CPU and GPU respectively
  - else; coping data only on CPU

◆ vector() [7/10]

template<typename Float >

monolish::vector< Float >::vector ( const view1D< vector< Float >, Float > & vec )

copy from monolish::view1D from vector

Parameters

vec	input monolish::view1D from vector

Note

# of computation: N
Multi-threading: true
GPU acceleration: true
- # of data transfer: N (only allocation)
  - if gpu_status == true; coping data on CPU and GPU respectively
  - else; coping data only on CPU

◆ vector() [8/10]

template<typename Float >

monolish::vector< Float >::vector ( const view1D< matrix::Dense< Float >, Float > & vec )

copy from monolish::view1D from monolish::matrix::Dense

Parameters

vec	input monolish::view1D from monolish::matrix::Dense

Note

# of computation: N
Multi-threading: true
GPU acceleration: true
- # of data transfer: N (only allocation)
  - if gpu_status == true; coping data on CPU and GPU respectively
  - else; coping data only on CPU

◆ vector() [9/10]

template<typename Float >

monolish::vector< Float >::vector	(	const Float *	start,
		const Float *	end
	)

copy from pointer

Parameters

start	start pointer
end	end pointer

Note

# of computation: N
Multi-threading: false
GPU acceleration: false

◆ vector() [10/10]

template<typename Float >

monolish::vector< Float >::vector	(	const size_t	N,
		const Float	min,
		const Float	max
	)

create N length rand(min~max) vector

Parameters

N	vector length
min	rand min
max	rand max

Note

# of computation: N
Multi-threading: true
GPU acceleration: false

◆ ~vector()

template<typename Float >

monolish::vector< Float >::~vector ( )

inline

destructor of vector, free GPU memory

Note

# of data transfer: 0
Multi-threading: false
GPU acceleration: true

Definition at line 213 of file monolish_vector.hpp.

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Member Function Documentation

◆ begin() [1/2]

template<typename Float >

Float* monolish::vector< Float >::begin ( )

inline

returns a begin iterator

Returns: begin iterator

Note

# of computation: 1

Definition at line 282 of file monolish_vector.hpp.

◆ begin() [2/2]

template<typename Float >

const Float* monolish::vector< Float >::begin ( ) const

inline

returns a begin iterator

Returns: begin iterator

Note

# of computation: 1

Definition at line 274 of file monolish_vector.hpp.

◆ data() [1/2]

template<typename Float >

Float* monolish::vector< Float >::data ( )

inline

returns a direct pointer to the vector

Returns: A pointer to the first element

Note

# of computation: 1

Definition at line 238 of file monolish_vector.hpp.

◆ data() [2/2]

template<typename Float >

const Float* monolish::vector< Float >::data ( ) const

inline

returns a direct pointer to the vector

Returns: A const pointer to the first element

Note

# of computation: 1

Definition at line 230 of file monolish_vector.hpp.

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◆ device_free()

template<typename T >

template void monolish::vector< Float >::device_free ( ) const

free data on GPU

Note

# of data transfer: 0
Multi-threading: false
GPU acceleration: true

Definition at line 60 of file gpu_comm.cpp.

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◆ end() [1/2]

template<typename Float >

Float* monolish::vector< Float >::end ( )

inline

returns a end iterator

Returns: end iterator

Note

# of computation: 1

Definition at line 298 of file monolish_vector.hpp.

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◆ end() [2/2]

template<typename Float >

const Float* monolish::vector< Float >::end ( ) const

inline

returns a end iterator

Returns: end iterator

Note

# of computation: 1

Definition at line 290 of file monolish_vector.hpp.

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◆ equal() [1/3]

template<typename Float >

bool monolish::vector< Float >::equal	(	const vector< Float > &	vec,
		bool	compare_cpu_and_device = `false`
	)		const

Comparing matricies (A == mat)

Parameters

vec	vector
compare_cpu_and_device	compare data on both CPU and GPU

Returns: true or false

Note

# of computation: N
Multi-threading: true
GPU acceleration: true

◆ equal() [2/3]

template<typename Float >

bool monolish::vector< Float >::equal	(	const view1D< matrix::Dense< Float >, Float > &	vec,
		bool	compare_cpu_and_device = `false`
	)		const

Comparing matricies (A == mat)

Parameters

vec	vieq1D from monolish::matrix::Dense
compare_cpu_and_device	compare data on both CPU and GPU

Returns: true or false

Note

# of computation: N
Multi-threading: true
GPU acceleration: true

◆ equal() [3/3]

template<typename Float >

bool monolish::vector< Float >::equal	(	const view1D< vector< Float >, Float > &	vec,
		bool	compare_cpu_and_device = `false`
	)		const

Comparing matricies (A == mat)

Parameters

vec	view1D from monolish::vector
compare_cpu_and_device	compare data on both CPU and GPU

Returns: true or false

Note

# of computation: N
Multi-threading: true
GPU acceleration: true

◆ fill()

template<typename Float >

template void monolish::vector< Float >::fill ( Float value )

fill vector elements with a scalar value

Parameters

value scalar value

Note

# of computation: N
Multi-threading: true
GPU acceleration: true

Definition at line 9 of file fill_vector.cpp.

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◆ get_device_mem_stat()

template<typename Float >

bool monolish::vector< Float >::get_device_mem_stat ( ) const

inline

true: sended, false: not send

Returns: gpu status

Note

# of data transfer: 0
Multi-threading: false
GPU acceleration: true

Definition at line 204 of file monolish_vector.hpp.

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◆ get_nnz()

template<typename Float >

auto monolish::vector< Float >::get_nnz ( ) const

inline

get vector size

Returns: vector size

Note

# of computation: 1

Definition at line 314 of file monolish_vector.hpp.

◆ get_offset()

template<typename Float >

size_t monolish::vector< Float >::get_offset ( ) const

inline

Definition at line 219 of file monolish_vector.hpp.

◆ nonfree_recv()

template<typename T >

template void monolish::vector< Float >::nonfree_recv ( )

recv data from GPU (w/o free)

Note

# of data transfer: N
Multi-threading: false
GPU acceleration: true

Definition at line 45 of file gpu_comm.cpp.

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◆ operator!=() [1/3]

template<typename Float >

bool monolish::vector< Float >::operator!= ( const vector< Float > & vec ) const

Comparing vectors (v != vec)

Parameters

vec	vector (size N)

Returns: true or false

Note

# of computation: N
Multi-threading: true
GPU acceleration: true
- if gpu_status == true; compare data on GPU
- else; compare data on CPU

◆ operator!=() [2/3]

template<typename Float >

bool monolish::vector< Float >::operator!= ( const view1D< matrix::Dense< Float >, Float > & vec ) const

Comparing vectors (v != vec)

Parameters

vec	vector (size N)

Returns: true or false

Note

# of computation: N
Multi-threading: true
GPU acceleration: true
- if gpu_status == true; compare data on GPU
- else; compare data on CPU

◆ operator!=() [3/3]

template<typename Float >

bool monolish::vector< Float >::operator!= ( const view1D< vector< Float >, Float > & vec ) const

Comparing vectors (v != vec)

Parameters

vec	vector (size N)

Returns: true or false

Note

# of computation: N
Multi-threading: true
GPU acceleration: true
- if gpu_status == true; compare data on GPU
- else; compare data on CPU

◆ operator-()

template<typename T >

template vector< float > monolish::vector< Float >::operator- ( )

Sign inversion.

Returns: output vector

Note

# of computation: N
Multi-threading: true
GPU acceleration: true

Definition at line 8 of file vector_minus.cpp.

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◆ operator=() [1/4]

template<typename Float >

void monolish::vector< Float >::operator= ( const std::vector< Float > & vec )

copy vector from std::vector

Parameters

vec	source std::vector

Returns: output vector

Note

# of computation: N
Multi-threading: true
GPU acceleration: false

◆ operator=() [2/4]

template<typename Float >

void monolish::vector< Float >::operator= ( const vector< Float > & vec )

copy vector, It is same as copy ( Copy the memory on CPU and GPU )

Parameters

vec	source vector

Returns: output vector

Note

# of computation: N
Multi-threading: false
GPU acceleration: true
- # of data transfer: 0
  - if gpu_statius == true; coping data on GPU
  - else; coping data on CPU

◆ operator=() [3/4]

template<typename Float >

void monolish::vector< Float >::operator= ( const view1D< matrix::Dense< Float >, Float > & vec )

copy vector, It is same as copy ( Copy the memory on CPU and GPU )

Parameters

vec	source view1D from monolish::matrix::Dense

Returns: output vector

Note

# of computation: N
Multi-threading: false
GPU acceleration: true
- # of data transfer: 0
  - if gpu_statius == true; coping data on GPU
  - else; coping data on CPU

◆ operator=() [4/4]

template<typename Float >

void monolish::vector< Float >::operator= ( const view1D< vector< Float >, Float > & vec )

copy vector, It is same as copy ( Copy the memory on CPU and GPU )

Parameters

vec	source view1D from monolish::vector

Returns: output vector

Note

# of computation: N
Multi-threading: false
GPU acceleration: true
- # of data transfer: 0
  - if gpu_statius == true; coping data on GPU
  - else; coping data on CPU

◆ operator==() [1/3]

template<typename Float >

bool monolish::vector< Float >::operator== ( const vector< Float > & vec ) const

Comparing vectors (v == vec)

Parameters

vec	vector (size N)

Returns: true or false

Note

# of computation: N
Multi-threading: true
GPU acceleration: true
- if gpu_status == true; compare data on GPU
- else; compare data on CPU

◆ operator==() [2/3]

template<typename Float >

bool monolish::vector< Float >::operator== ( const view1D< matrix::Dense< Float >, Float > & vec ) const

Comparing vectors (v == vec)

Parameters

vec	view1D from monolish::matrix::Dense (size N)

Returns: true or false

Note

# of computation: N
Multi-threading: true
GPU acceleration: true
- if gpu_status == true; compare data on GPU
- else; compare data on CPU

◆ operator==() [3/3]

template<typename Float >

bool monolish::vector< Float >::operator== ( const view1D< vector< Float >, Float > & vec ) const

Comparing vectors (v == vec)

Parameters

vec	view1D from monolish::vector (size N)

Returns: true or false

Note

# of computation: N
Multi-threading: true
GPU acceleration: true
- if gpu_status == true; compare data on GPU
- else; compare data on CPU

◆ operator[]()

template<typename Float >

Float& monolish::vector< Float >::operator[] ( size_t i )

inline

refetrence to the element at position (v[i])

Parameters

i	Position of an element in the vector

Returns: vector element (v[i])

Note

# of computation: 1
Multi-threading: false
GPU acceleration: false

Definition at line 421 of file monolish_vector.hpp.

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◆ print_all() [1/2]

template<typename T >

template void monolish::vector< Float >::print_all ( bool force_cpu = false ) const

print all elements to standart I/O

Parameters

force_cpu Ignore device status and output CPU data

Note

# of computation: N
Multi-threading: false
GPU acceleration: true (doesn't work in parallel)

Definition at line 17 of file IO_vector.cpp.

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◆ print_all() [2/2]

template<typename T >

template void monolish::vector< Float >::print_all ( std::string filename ) const

print all elements to file

Parameters

filename output filename

Note

# of computation: N
Multi-threading: false
GPU acceleration: false

Definition at line 45 of file IO_vector.cpp.

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◆ push_back()

template<typename Float >

void monolish::vector< Float >::push_back ( Float val )

inline

Add a new element at the end of the vector (only CPU)

Parameters

val	new element

Note

# of computation: 1

Definition at line 261 of file monolish_vector.hpp.

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◆ recv()

template<typename T >

template void monolish::vector< Float >::recv ( )

recv data from GPU, and free data on GPU

Note

# of data transfer: N
Multi-threading: false
GPU acceleration: true

Definition at line 27 of file gpu_comm.cpp.

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◆ resize()

template<typename Float >

void monolish::vector< Float >::resize ( size_t N )

inline

resize vector (only CPU)

Parameters

N	vector length

Note

# of computation: N
Multi-threading: false
GPU acceleration: false

Definition at line 248 of file monolish_vector.hpp.

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◆ send()

template<typename T >

template void monolish::vector< Float >::send ( ) const

send data to GPU

Note

# of data transfer: N
Multi-threading: false
GPU acceleration: true

Definition at line 8 of file gpu_comm.cpp.

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◆ size()

template<typename Float >

auto monolish::vector< Float >::size ( ) const

inline

get vector size

Returns: vector size

Note

# of computation: 1

Definition at line 306 of file monolish_vector.hpp.

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Member Data Documentation

◆ gpu_status

template<typename Float >

bool monolish::vector< Float >::gpu_status = false

mutableprivate

true: sended, false: not send

Definition at line 46 of file monolish_vector.hpp.

◆ val

template<typename Float >

std::vector<Float> monolish::vector< Float >::val

private

size N vector data

Definition at line 41 of file monolish_vector.hpp.

The documentation for this class was generated from the following files:

Public Member Functions

Private Attributes

Detailed Description

template<typename Float> class monolish::vector< Float >

Constructor & Destructor Documentation

◆ vector() [1/10]

◆ vector() [2/10]

◆ vector() [3/10]

◆ vector() [4/10]

◆ vector() [5/10]

◆ vector() [6/10]

◆ vector() [7/10]

◆ vector() [8/10]

◆ vector() [9/10]

◆ vector() [10/10]

◆ ~vector()

Member Function Documentation

◆ begin() [1/2]

◆ begin() [2/2]

◆ data() [1/2]

◆ data() [2/2]

◆ device_free()

◆ end() [1/2]

◆ end() [2/2]

◆ equal() [1/3]

◆ equal() [2/3]

◆ equal() [3/3]

◆ fill()

◆ get_device_mem_stat()

◆ get_nnz()

◆ get_offset()

◆ nonfree_recv()

◆ operator!=() [1/3]

◆ operator!=() [2/3]

◆ operator!=() [3/3]

◆ operator-()

◆ operator=() [1/4]

◆ operator=() [2/4]

◆ operator=() [3/4]

◆ operator=() [4/4]

◆ operator==() [1/3]

◆ operator==() [2/3]

◆ operator==() [3/3]

◆ operator[]()

◆ print_all() [1/2]

◆ print_all() [2/2]

◆ push_back()

◆ recv()

◆ resize()

◆ send()

◆ size()

Member Data Documentation

◆ gpu_status

◆ val

template<typename Float>
class monolish::vector< Float >