Page Menu
Home
c4science
Search
Configure Global Search
Log In
Files
F90744847
Kokkos_Vector.hpp
No One
Temporary
Actions
Download File
Edit File
Delete File
View Transforms
Subscribe
Mute Notifications
Award Token
Subscribers
None
File Metadata
Details
File Info
Storage
Attached
Created
Mon, Nov 4, 09:18
Size
7 KB
Mime Type
text/x-c++
Expires
Wed, Nov 6, 09:18 (2 d)
Engine
blob
Format
Raw Data
Handle
22127986
Attached To
rLAMMPS lammps
Kokkos_Vector.hpp
View Options
/*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2014) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY
// EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
// PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL SANDIA CORPORATION OR THE
// CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
// EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
// PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
// PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
// LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
// NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
//
// Questions? Contact H. Carter Edwards (hcedwar@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#ifndef KOKKOS_VECTOR_HPP
#define KOKKOS_VECTOR_HPP
#include <Kokkos_Core_fwd.hpp>
#include <Kokkos_DualView.hpp>
/* Drop in replacement for std::vector based on Kokkos::DualView
* Most functions only work on the host (it will not compile if called from device kernel)
*
*/
namespace
Kokkos
{
template
<
class
Scalar
,
class
Arg1Type
=
void
>
class
vector
:
public
DualView
<
Scalar
*
,
LayoutLeft
,
Arg1Type
>
{
typedef
Scalar
value_type
;
typedef
Scalar
*
pointer
;
typedef
const
Scalar
*
const_pointer
;
typedef
Scalar
*
reference
;
typedef
const
Scalar
*
const_reference
;
typedef
Scalar
*
iterator
;
typedef
const
Scalar
*
const_iterator
;
private
:
size_t
_size
;
typedef
size_t
size_type
;
float
_extra_storage
;
typedef
DualView
<
Scalar
*
,
LayoutLeft
,
Arg1Type
>
DV
;
public
:
#ifdef KOKKOS_ENABLE_CUDA_UVM
KOKKOS_INLINE_FUNCTION
Scalar
&
operator
()
(
int
i
)
const
{
return
DV
::
h_view
(
i
);};
KOKKOS_INLINE_FUNCTION
Scalar
&
operator
[]
(
int
i
)
const
{
return
DV
::
h_view
(
i
);};
#else
inline
Scalar
&
operator
()
(
int
i
)
const
{
return
DV
::
h_view
(
i
);};
inline
Scalar
&
operator
[]
(
int
i
)
const
{
return
DV
::
h_view
(
i
);};
#endif
/* Member functions which behave like std::vector functions */
vector
()
:
DV
()
{
_size
=
0
;
_extra_storage
=
1.1
;
DV
::
modified_host
()
=
1
;
};
vector
(
int
n
,
Scalar
val
=
Scalar
())
:
DualView
<
Scalar
*
,
LayoutLeft
,
Arg1Type
>
(
"Vector"
,
size_t
(
n
*
(
1.1
)))
{
_size
=
n
;
_extra_storage
=
1.1
;
DV
::
modified_host
()
=
1
;
assign
(
n
,
val
);
}
void
resize
(
size_t
n
)
{
if
(
n
>=
capacity
())
DV
::
resize
(
size_t
(
n
*
_extra_storage
));
_size
=
n
;
}
void
resize
(
size_t
n
,
const
Scalar
&
val
)
{
assign
(
n
,
val
);
}
void
assign
(
size_t
n
,
const
Scalar
&
val
)
{
/* Resize if necessary (behavour of std:vector) */
if
(
n
>
capacity
())
DV
::
resize
(
size_t
(
n
*
_extra_storage
));
_size
=
n
;
/* Assign value either on host or on device */
if
(
DV
::
modified_host
()
>=
DV
::
modified_device
()
)
{
set_functor_host
f
(
DV
::
h_view
,
val
);
parallel_for
(
n
,
f
);
DV
::
t_host
::
execution_space
::
fence
();
DV
::
modified_host
()
++
;
}
else
{
set_functor
f
(
DV
::
d_view
,
val
);
parallel_for
(
n
,
f
);
DV
::
t_dev
::
execution_space
::
fence
();
DV
::
modified_device
()
++
;
}
}
void
reserve
(
size_t
n
)
{
DV
::
resize
(
size_t
(
n
*
_extra_storage
));
}
void
push_back
(
Scalar
val
)
{
DV
::
modified_host
()
++
;
if
(
_size
==
capacity
())
{
size_t
new_size
=
_size
*
_extra_storage
;
if
(
new_size
==
_size
)
new_size
++
;
DV
::
resize
(
new_size
);
}
DV
::
h_view
(
_size
)
=
val
;
_size
++
;
};
void
pop_back
()
{
_size
--
;
};
void
clear
()
{
_size
=
0
;
}
size_type
size
()
const
{
return
_size
;};
size_type
max_size
()
const
{
return
2000000000
;}
size_type
capacity
()
const
{
return
DV
::
capacity
();};
bool
empty
()
const
{
return
_size
==
0
;};
iterator
begin
()
const
{
return
&
DV
::
h_view
(
0
);};
iterator
end
()
const
{
return
&
DV
::
h_view
(
_size
);};
/* std::algorithms wich work originally with iterators, here they are implemented as member functions */
size_t
lower_bound
(
const
size_t
&
start
,
const
size_t
&
theEnd
,
const
Scalar
&
comp_val
)
const
{
int
lower
=
start
;
// FIXME (mfh 24 Apr 2014) narrowing conversion
int
upper
=
_size
>
theEnd
?
theEnd
:
_size
-
1
;
// FIXME (mfh 24 Apr 2014) narrowing conversion
if
(
upper
<=
lower
)
{
return
theEnd
;
}
Scalar
lower_val
=
DV
::
h_view
(
lower
);
Scalar
upper_val
=
DV
::
h_view
(
upper
);
size_t
idx
=
(
upper
+
lower
)
/
2
;
Scalar
val
=
DV
::
h_view
(
idx
);
if
(
val
>
upper_val
)
return
upper
;
if
(
val
<
lower_val
)
return
start
;
while
(
upper
>
lower
)
{
if
(
comp_val
>
val
)
{
lower
=
++
idx
;
}
else
{
upper
=
idx
;
}
idx
=
(
upper
+
lower
)
/
2
;
val
=
DV
::
h_view
(
idx
);
}
return
idx
;
}
bool
is_sorted
()
{
for
(
int
i
=
0
;
i
<
_size
-
1
;
i
++
)
{
if
(
DV
::
h_view
(
i
)
>
DV
::
h_view
(
i
+
1
))
return
false
;
}
return
true
;
}
iterator
find
(
Scalar
val
)
const
{
if
(
_size
==
0
)
return
end
();
int
upper
,
lower
,
current
;
current
=
_size
/
2
;
upper
=
_size
-
1
;
lower
=
0
;
if
((
val
<
DV
::
h_view
(
0
))
||
(
val
>
DV
::
h_view
(
_size
-
1
))
)
return
end
();
while
(
upper
>
lower
)
{
if
(
val
>
DV
::
h_view
(
current
))
lower
=
current
+
1
;
else
upper
=
current
;
current
=
(
upper
+
lower
)
/
2
;
}
if
(
val
==
DV
::
h_view
(
current
))
return
&
DV
::
h_view
(
current
);
else
return
end
();
}
/* Additional functions for data management */
void
device_to_host
(){
deep_copy
(
DV
::
h_view
,
DV
::
d_view
);
}
void
host_to_device
()
const
{
deep_copy
(
DV
::
d_view
,
DV
::
h_view
);
}
void
on_host
()
{
DV
::
modified_host
()
=
DV
::
modified_device
()
+
1
;
}
void
on_device
()
{
DV
::
modified_device
()
=
DV
::
modified_host
()
+
1
;
}
void
set_overallocation
(
float
extra
)
{
_extra_storage
=
1.0
+
extra
;
}
public
:
struct
set_functor
{
typedef
typename
DV
::
t_dev
::
execution_space
execution_space
;
typename
DV
::
t_dev
_data
;
Scalar
_val
;
set_functor
(
typename
DV
::
t_dev
data
,
Scalar
val
)
:
_data
(
data
),
_val
(
val
)
{}
KOKKOS_INLINE_FUNCTION
void
operator
()
(
const
int
&
i
)
const
{
_data
(
i
)
=
_val
;
}
};
struct
set_functor_host
{
typedef
typename
DV
::
t_host
::
execution_space
execution_space
;
typename
DV
::
t_host
_data
;
Scalar
_val
;
set_functor_host
(
typename
DV
::
t_host
data
,
Scalar
val
)
:
_data
(
data
),
_val
(
val
)
{}
KOKKOS_INLINE_FUNCTION
void
operator
()
(
const
int
&
i
)
const
{
_data
(
i
)
=
_val
;
}
};
};
}
#endif
Event Timeline
Log In to Comment