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annotate src/gpu/ptx/vm/ptxKernelArguments.cpp @ 11842:8d8f63069f58

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PTX warp limiter to available GPU processors
author Morris Meyer <morris.meyer@oracle.com>
date Mon, 30 Sep 2013 13:03:47 -0400
parents d8659ad83fcc
children c7abc8411011
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1 /*
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2 * Copyright (c) 2013, Oracle and/or its affiliates. All rights reserved.
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3 * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
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4 *
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5 * This code is free software; you can redistribute it and/or modify it
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6 * under the terms of the GNU General Public License version 2 only, as
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7 * published by the Free Software Foundation.
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8 *
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9 * This code is distributed in the hope that it will be useful, but WITHOUT
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10 * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
49bb1bc983c6 Implement several missing PTX codegen features; return value capture and method args passing of java method executed on GPU.
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11 * FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
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12 * version 2 for more details (a copy is included in the LICENSE file that
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13 * accompanied this code).
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14 *
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15 * You should have received a copy of the GNU General Public License version
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16 * 2 along with this work; if not, write to the Free Software Foundation,
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17 * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
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18 *
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19 * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
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20 * or visit www.oracle.com if you need additional information or have any
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21 * questions.
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22 *
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23 */
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24
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25 #include "precompiled.hpp"
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26 #include "ptxKernelArguments.hpp"
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27 #include "runtime/javaCalls.hpp"
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28
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29 gpu::Ptx::cuda_cu_memalloc_func_t gpu::Ptx::_cuda_cu_memalloc;
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30 gpu::Ptx::cuda_cu_memcpy_htod_func_t gpu::Ptx::_cuda_cu_memcpy_htod;
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31
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32 // Get next java argument
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33 oop PTXKernelArguments::next_arg(BasicType expectedType) {
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34 assert(_index < _args->length(), "out of bounds");
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35
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36 oop arg = ((objArrayOop) (_args))->obj_at(_index++);
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37 assert(expectedType == T_OBJECT ||
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38 java_lang_boxing_object::is_instance(arg, expectedType), "arg type mismatch");
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39
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40 return arg;
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41 }
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42
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43 void PTXKernelArguments::do_int() {
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44 if (is_after_invocation()) {
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45 return;
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46 }
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47 // If the parameter is a return value,
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48 if (is_return_type()) {
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49 // Allocate device memory for T_INT return value pointer on device. Size in bytes
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50 int status = gpu::Ptx::_cuda_cu_memalloc(&_return_value_ptr, T_INT_BYTE_SIZE);
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51 if (status != GRAAL_CUDA_SUCCESS) {
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52 tty->print_cr("[CUDA] *** Error (%d) Failed to allocate memory for return value pointer on device", status);
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53 _success = false;
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54 return;
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55 }
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56 // Push _return_value_ptr to _kernelBuffer
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57 *((gpu::Ptx::CUdeviceptr*) &_kernelArgBuffer[_bufferOffset]) = _return_value_ptr;
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58 _bufferOffset += sizeof(_return_value_ptr);
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59 } else {
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60 // Get the next java argument and its value which should be a T_INT
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61 oop arg = next_arg(T_INT);
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62 // Copy the java argument value to kernelArgBuffer
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63 jvalue intval;
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64 if (java_lang_boxing_object::get_value(arg, &intval) != T_INT) {
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65 tty->print_cr("[CUDA] *** Error: Unexpected argument type; expecting T_INT");
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66 _success = false;
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67 return;
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68 }
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69 *((gpu::Ptx::CUdeviceptr*) &_kernelArgBuffer[_bufferOffset]) = intval.i;
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70 _bufferOffset += sizeof(intval.i);
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71 }
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72 return;
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73 }
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74
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75 void PTXKernelArguments::do_long() {
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76 if (is_after_invocation()) {
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77 return;
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78 }
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79 // If the parameter is a return value,
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80 if (is_return_type()) {
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81 // Allocate device memory for T_LONG return value pointer on device. Size in bytes
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82 int status = gpu::Ptx::_cuda_cu_memalloc(&_return_value_ptr, T_LONG_BYTE_SIZE);
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83 if (status != GRAAL_CUDA_SUCCESS) {
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84 tty->print_cr("[CUDA] *** Error (%d) Failed to allocate memory for return value pointer on device", status);
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85 _success = false;
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86 return;
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87 }
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88 // Push _return_value_ptr to _kernelBuffer
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89 *((gpu::Ptx::CUdeviceptr*) &_kernelArgBuffer[_bufferOffset]) = _return_value_ptr;
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90 _bufferOffset += sizeof(_return_value_ptr);
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91 } else {
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92 // Get the next java argument and its value which should be a T_LONG
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93 oop arg = next_arg(T_LONG);
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94 // Copy the java argument value to kernelArgBuffer
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95 jvalue val;
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96 if (java_lang_boxing_object::get_value(arg, &val) != T_LONG) {
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97 tty->print_cr("[CUDA] *** Error: Unexpected argument type; expecting T_LONG");
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98 _success = false;
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99 return;
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100 }
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101 *((gpu::Ptx::CUdeviceptr*) &_kernelArgBuffer[_bufferOffset]) = val.j;
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102 _bufferOffset += sizeof(val.j);
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103 }
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104 return;
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105 }
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106
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107 void PTXKernelArguments::do_byte() {
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108 if (is_after_invocation()) {
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109 return;
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110 }
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111 // If the parameter is a return value,
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112 if (is_return_type()) {
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113 // Allocate device memory for T_BYTE return value pointer on device. Size in bytes
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114 int status = gpu::Ptx::_cuda_cu_memalloc(&_return_value_ptr, T_BYTE_SIZE);
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115 if (status != GRAAL_CUDA_SUCCESS) {
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116 tty->print_cr("[CUDA] *** Error (%d) Failed to allocate memory for return value pointer on device", status);
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117 _success = false;
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118 return;
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119 }
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120 // Push _return_value_ptr to _kernelBuffer
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121 *((gpu::Ptx::CUdeviceptr*) &_kernelArgBuffer[_bufferOffset]) = _return_value_ptr;
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122 _bufferOffset += sizeof(_return_value_ptr);
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123 } else {
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124 // Get the next java argument and its value which should be a T_BYTE
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125 oop arg = next_arg(T_BYTE);
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126 // Copy the java argument value to kernelArgBuffer
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127 jvalue val;
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128 if (java_lang_boxing_object::get_value(arg, &val) != T_BYTE) {
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129 tty->print_cr("[CUDA] *** Error: Unexpected argument type; expecting T_BYTE");
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130 _success = false;
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131 return;
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132 }
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133 *((gpu::Ptx::CUdeviceptr*) &_kernelArgBuffer[_bufferOffset]) = val.b;
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134 _bufferOffset += sizeof(val.b);
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135 }
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136 return;
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137 }
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138
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139 void PTXKernelArguments::do_array(int begin, int end) {
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140 gpu::Ptx::CUdeviceptr _array_ptr;
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141 int status;
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142
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143 // Get the next java argument and its value which should be a T_ARRAY
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144 oop arg = next_arg(T_OBJECT);
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145 int array_size = arg->size() * HeapWordSize;
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146
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147 if (is_after_invocation()) {
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148 _array_ptr = *((gpu::Ptx::CUdeviceptr*) &_kernelArgBuffer[_bufferOffset]);
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149 status = gpu::Ptx::_cuda_cu_memcpy_dtoh(arg, _array_ptr, array_size);
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150 if (status != GRAAL_CUDA_SUCCESS) {
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151 tty->print_cr("[CUDA] *** Error (%d) Failed to copy array argument to host", status);
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152 _success = false;
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153 return;
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154 } else {
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155 // tty->print_cr("device: %x host: %x size: %d", _array_ptr, arg, array_size);
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156 }
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157 return;
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158 }
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159 // Allocate device memory for T_ARRAY return value pointer on device. Size in bytes
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160 status = gpu::Ptx::_cuda_cu_memalloc(&_return_value_ptr, array_size);
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161 if (status != GRAAL_CUDA_SUCCESS) {
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162 tty->print_cr("[CUDA] *** Error (%d) Failed to allocate memory for return value pointer on device", status);
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163 _success = false;
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164 return;
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165 }
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166 status = gpu::Ptx::_cuda_cu_memcpy_htod(_return_value_ptr, arg, array_size);
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167 if (status != GRAAL_CUDA_SUCCESS) {
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168 tty->print_cr("[CUDA] *** Error (%d) Failed to copy array to device argument", status);
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169 _success = false;
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170 return;
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171 } else {
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172 // tty->print_cr("host: %x device: %x size: %d", arg, _return_value_ptr, array_size);
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173 }
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174 // Push _return_value_ptr to _kernelBuffer
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175 *((gpu::Ptx::CUdeviceptr*) &_kernelArgBuffer[_bufferOffset]) = _return_value_ptr;
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176 _bufferOffset += sizeof(_return_value_ptr);
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177 return;
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178 }
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179
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180 void PTXKernelArguments::do_void() {
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181 return;
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182 }
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183
49bb1bc983c6 Implement several missing PTX codegen features; return value capture and method args passing of java method executed on GPU.
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184 // TODO implement other do_*