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vector_size.hpp
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/*
//@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 Christian R. Trott ([email protected])
//
// ************************************************************************
//@HEADER
*/
#pragma once
#include "simd_common.hpp"
#if defined(__clang__)
namespace SIMD_NAMESPACE {
namespace simd_abi {
template <int N>
class vector_size {};
}
template <int N>
class simd_mask<float, simd_abi::vector_size<N>> {
typedef int native_type __attribute__((vector_size(N)));
native_type m_value;
public:
using value_type = bool;
using simd_type = simd<float, simd_abi::vector_size<N>>;
using abi_type = simd_abi::vector_size<N>;
SIMD_ALWAYS_INLINE inline simd_mask() = default;
SIMD_ALWAYS_INLINE inline static constexpr int size() { return N / sizeof(int); }
SIMD_ALWAYS_INLINE inline simd_mask(bool value)
:m_value(-int(value))
{}
SIMD_ALWAYS_INLINE inline simd_mask(native_type value)
:m_value(value)
{}
SIMD_ALWAYS_INLINE inline int operator[](int i) { return m_value[i]; }
SIMD_ALWAYS_INLINE inline native_type const& get() const { return m_value; }
SIMD_ALWAYS_INLINE inline simd_mask operator||(simd_mask const& other) const {
return simd_mask(m_value || other.m_value);
}
SIMD_ALWAYS_INLINE inline simd_mask operator&&(simd_mask const& other) const {
return simd_mask(m_value && other.m_value);
}
SIMD_ALWAYS_INLINE inline simd_mask operator!() const {
return simd_mask(!m_value);
}
};
template <int N>
class simd_mask<double, simd_abi::vector_size<N>> {
typedef long long native_type __attribute__((vector_size(N)));
native_type m_value;
public:
using value_type = bool;
using simd_type = simd<double, simd_abi::vector_size<N>>;
using abi_type = simd_abi::vector_size<N>;
SIMD_ALWAYS_INLINE inline simd_mask() = default;
SIMD_ALWAYS_INLINE inline static constexpr int size() { return N / sizeof(long long); }
SIMD_ALWAYS_INLINE inline simd_mask(bool value);
SIMD_ALWAYS_INLINE inline simd_mask(native_type value)
:m_value(value)
{}
SIMD_ALWAYS_INLINE inline long long operator[](int i) { return m_value[i]; }
SIMD_ALWAYS_INLINE inline native_type const& get() const { return m_value; }
SIMD_ALWAYS_INLINE inline simd_mask operator||(simd_mask const& other) const {
return simd_mask(m_value || other.m_value);
}
SIMD_ALWAYS_INLINE inline simd_mask operator&&(simd_mask const& other) const {
return simd_mask(m_value && other.m_value);
}
SIMD_ALWAYS_INLINE inline simd_mask operator!() const {
return simd_mask(!m_value);
}
};
template <>
SIMD_ALWAYS_INLINE inline simd_mask<float, simd_abi::vector_size<32>>::simd_mask(bool value)
{
m_value = {-int(value), -int(value), -int(value), -int(value),
-int(value), -int(value), -int(value), -int(value)};
}
template <>
SIMD_ALWAYS_INLINE inline simd_mask<double, simd_abi::vector_size<32>>::simd_mask(bool value)
{
m_value = {-(long long)(value), -(long long)(value), -(long long)(value), -(long long)(value)};
}
template <class T, int N>
SIMD_ALWAYS_INLINE SIMD_HOST_DEVICE inline bool all_of(simd_mask<T, simd_abi::vector_size<N>> const& a) {
bool result = true;
SIMD_PRAGMA for (int i = 0; i < a.size(); ++i) result = result && a.get()[i];
return result;
}
template <class T, int N>
SIMD_ALWAYS_INLINE SIMD_HOST_DEVICE inline bool any_of(simd_mask<T, simd_abi::vector_size<N>> const& a) {
bool result = false;
SIMD_PRAGMA for (int i = 0; i < a.size(); ++i) result = result || a.get()[i];
return result;
}
template <class T, int N>
class simd<T, simd_abi::vector_size<N>> {
typedef T native_type __attribute__((vector_size(N)));
native_type m_value;
public:
using value_type = T;
using abi_type = simd_abi::vector_size<N>;
using mask_type = simd_mask<T, abi_type>;
using storage_type = simd_storage<T, abi_type>;
SIMD_ALWAYS_INLINE inline simd() = default;
SIMD_ALWAYS_INLINE inline static constexpr int size() { return N / sizeof(T); }
SIMD_ALWAYS_INLINE inline simd(T value);
SIMD_ALWAYS_INLINE inline simd(native_type value):m_value(value) {}
SIMD_ALWAYS_INLINE inline
simd(storage_type const& value) {
copy_from(value.data(), element_aligned_tag());
}
SIMD_ALWAYS_INLINE inline
simd& operator=(storage_type const& value) {
copy_from(value.data(), element_aligned_tag());
return *this;
}
template <class Flags>
SIMD_ALWAYS_INLINE simd(T const* ptr, Flags flags) {
copy_from(ptr, flags);
}
SIMD_ALWAYS_INLINE simd operator*(simd const& other) const {
return simd(m_value * other.m_value);
}
SIMD_ALWAYS_INLINE simd operator/(simd const& other) const {
return simd(m_value / other.m_value);
}
SIMD_ALWAYS_INLINE simd operator+(simd const& other) const {
return simd(m_value + other.m_value);
}
SIMD_ALWAYS_INLINE simd operator-(simd const& other) const {
return simd(m_value - other.m_value);
}
SIMD_ALWAYS_INLINE SIMD_HOST_DEVICE inline simd operator-() const {
return simd(-m_value);
}
SIMD_ALWAYS_INLINE void copy_from(T const* ptr, element_aligned_tag) {
SIMD_PRAGMA for (int i = 0; i < size(); ++i) m_value[i] = ptr[i];
}
SIMD_ALWAYS_INLINE void copy_to(T* ptr, element_aligned_tag) const {
SIMD_PRAGMA for (int i = 0; i < size(); ++i) ptr[i] = m_value[i];
}
SIMD_ALWAYS_INLINE constexpr T operator[](int i) const { return m_value[i]; }
SIMD_ALWAYS_INLINE native_type const& get() const { return m_value; }
SIMD_ALWAYS_INLINE native_type& get() { return m_value; }
SIMD_ALWAYS_INLINE simd_mask<T, simd_abi::vector_size<N>> operator<(simd const& other) const {
return simd_mask<T, simd_abi::vector_size<N>>(m_value < other.m_value);
}
SIMD_ALWAYS_INLINE simd_mask<T, simd_abi::vector_size<N>> operator==(simd const& other) const {
return simd_mask<T, simd_abi::vector_size<N>>(m_value == other.m_value);
}
};
template <>
SIMD_ALWAYS_INLINE inline simd<float, simd_abi::vector_size<32>>::simd(float value) {
m_value = {value, value, value, value,
value, value, value, value};
}
template <class T, int N>
SIMD_ALWAYS_INLINE SIMD_HOST_DEVICE inline simd<T, simd_abi::vector_size<N>> abs(simd<T, simd_abi::vector_size<N>> const& a) {
simd<T, simd_abi::vector_size<N>> result;
using std::sqrt;
SIMD_PRAGMA for (int i = 0; i < a.size(); ++i) result.get()[i] = abs(a[i]);
return result;
}
template <class T, int N>
SIMD_ALWAYS_INLINE SIMD_HOST_DEVICE inline simd<T, simd_abi::vector_size<N>> sqrt(simd<T, simd_abi::vector_size<N>> const& a) {
simd<T, simd_abi::vector_size<N>> result;
using std::sqrt;
SIMD_PRAGMA for (int i = 0; i < a.size(); ++i) result.get()[i] = sqrt(a[i]);
return result;
}
template <class T, int N>
SIMD_ALWAYS_INLINE SIMD_HOST_DEVICE inline simd<T, simd_abi::vector_size<N>> cbrt(simd<T, simd_abi::vector_size<N>> const& a) {
simd<T, simd_abi::vector_size<N>> result;
using std::cbrt;
SIMD_PRAGMA for (int i = 0; i < a.size(); ++i) result.get()[i] = cbrt(a[i]);
return result;
}
template <class T, int N>
SIMD_ALWAYS_INLINE SIMD_HOST_DEVICE inline simd<T, simd_abi::vector_size<N>> exp(simd<T, simd_abi::vector_size<N>> const& a) {
simd<T, simd_abi::vector_size<N>> result;
using std::exp;
SIMD_PRAGMA for (int i = 0; i < a.size(); ++i) result.get()[i] = exp(a[i]);
return result;
}
template <class T, int N>
SIMD_ALWAYS_INLINE SIMD_HOST_DEVICE inline simd<T, simd_abi::vector_size<N>> fma(
simd<T, simd_abi::vector_size<N>> const& a,
simd<T, simd_abi::vector_size<N>> const& b,
simd<T, simd_abi::vector_size<N>> const& c) {
simd<T, simd_abi::vector_size<N>> result;
SIMD_PRAGMA for (int i = 0; i < a.size(); ++i) result.get()[i] = (a[i] * b[i]) + c[i];
return result;
}
template <class T, int N>
SIMD_ALWAYS_INLINE SIMD_HOST_DEVICE inline simd<T, simd_abi::vector_size<N>> choose(
simd_mask<T, simd_abi::vector_size<N>> const& a,
simd<T, simd_abi::vector_size<N>> const& b,
simd<T, simd_abi::vector_size<N>> const& c) {
simd<T, simd_abi::vector_size<N>> result;
SIMD_PRAGMA for (int i = 0; i < a.size(); ++i) result.get()[i] = a.get()[i] ? b.get()[i] : c.get()[i];
return result;
}
template <class T, int N>
SIMD_ALWAYS_INLINE SIMD_HOST_DEVICE inline simd<T, simd_abi::vector_size<N>> max(
simd<T, simd_abi::vector_size<N>> const& a,
simd<T, simd_abi::vector_size<N>> const& b) {
return choose(b < a, a, b);
}
template <class T, int N>
SIMD_ALWAYS_INLINE SIMD_HOST_DEVICE inline simd<T, simd_abi::vector_size<N>> min(
simd<T, simd_abi::vector_size<N>> const& a,
simd<T, simd_abi::vector_size<N>> const& b) {
return choose(a < b, a, b);
}
}
#endif