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+/*
+ * memory.cc
+ *
+ * Copyright © 2009 by Tor M. Aamodt, Wilson W. L. Fung and the University of
+ * British Columbia, Vancouver, BC V6T 1Z4, All Rights Reserved.
+ *
+ * THIS IS A LEGAL DOCUMENT BY DOWNLOADING GPGPU-SIM, YOU ARE AGREEING TO THESE
+ * TERMS AND CONDITIONS.
+ *
+ * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 THE COPYRIGHT OWNERS OR 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.
+ *
+ * NOTE: The files libcuda/cuda_runtime_api.c and src/cuda-sim/cuda-math.h
+ * are derived from the CUDA Toolset available from http://www.nvidia.com/cuda
+ * (property of NVIDIA). The files benchmarks/BlackScholes/ and
+ * benchmarks/template/ are derived from the CUDA SDK available from
+ * http://www.nvidia.com/cuda (also property of NVIDIA). The files from
+ * src/intersim/ are derived from Booksim (a simulator provided with the
+ * textbook "Principles and Practices of Interconnection Networks" available
+ * from http://cva.stanford.edu/books/ppin/). As such, those files are bound by
+ * the corresponding legal terms and conditions set forth separately (original
+ * copyright notices are left in files from these sources and where we have
+ * modified a file our copyright notice appears before the original copyright
+ * notice).
+ *
+ * Using this version of GPGPU-Sim requires a complete installation of CUDA
+ * which is distributed seperately by NVIDIA under separate terms and
+ * conditions. To use this version of GPGPU-Sim with OpenCL requires a
+ * recent version of NVIDIA's drivers which support OpenCL.
+ *
+ * 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 University of British Columbia nor the names of
+ * its contributors may be used to endorse or promote products derived from
+ * this software without specific prior written permission.
+ *
+ * 4. This version of GPGPU-SIM is distributed freely for non-commercial use only.
+ *
+ * 5. No nonprofit user may place any restrictions on the use of this software,
+ * including as modified by the user, by any other authorized user.
+ *
+ * 6. GPGPU-SIM was developed primarily by Tor M. Aamodt, Wilson W. L. Fung,
+ * Ali Bakhoda, George L. Yuan, at the University of British Columbia,
+ * Vancouver, BC V6T 1Z4
+ */
+
+#include "memory.h"
+#include <stdlib.h>
+
+template<unsigned BSIZE> memory_space_impl<BSIZE>::memory_space_impl( std::string name, unsigned hash_size )
+{
+ m_name = name;
+ MEM_MAP_RESIZE(hash_size);
+
+ m_log2_block_size = -1;
+ for( unsigned n=0, mask=1; mask != 0; mask <<= 1, n++ ) {
+ if( BSIZE & mask ) {
+ assert( m_log2_block_size == (unsigned)-1 );
+ m_log2_block_size = n;
+ }
+ }
+ assert( m_log2_block_size != (unsigned)-1 );
+}
+
+template<unsigned BSIZE> void memory_space_impl<BSIZE>::write( mem_addr_t addr, size_t length, const void *data )
+{
+ mem_addr_t index = addr >> m_log2_block_size;
+ unsigned offset = addr & (BSIZE-1);
+ unsigned nbytes = length;
+ assert( (addr+length) <= (index+1)*BSIZE );
+ m_data[index].write(offset,nbytes,(const unsigned char*)data);
+}
+
+template<unsigned BSIZE> void memory_space_impl<BSIZE>::read( mem_addr_t addr, size_t length, void *data ) const
+{
+ mem_addr_t index = addr >> m_log2_block_size;
+ unsigned offset = addr & (BSIZE-1);
+ unsigned nbytes = length;
+ typename map_t::const_iterator i = m_data.find(index);
+ assert( (addr+length) <= (index+1)*BSIZE );
+ if( i == m_data.end() ) {
+ for( size_t n=0; n < length; n++ )
+ ((unsigned char*)data)[n] = (unsigned char) 0;
+ //printf("GPGPU-Sim PTX: WARNING reading %zu bytes from unititialized memory at address 0x%x in space %s\n", length, addr, m_name.c_str() );
+ } else {
+ i->second.read(offset,nbytes,(unsigned char*)data);
+ }
+}
+
+template class memory_space_impl<32>;
+template class memory_space_impl<64>;
+template class memory_space_impl<8192>;
+template class memory_space_impl<16*1024>;
+
+
+#ifdef UNIT_TEST
+
+int main(int argc, char *argv[] )
+{
+ int errors_found=0;
+ memory_space *mem = new memory_space_impl<32>("test",4);
+ // write address to [address]
+ for( mem_addr_t addr=0; addr < 16*1024; addr+=4)
+ mem->write(addr,4,&addr);
+
+ for( mem_addr_t addr=0; addr < 16*1024; addr+=4) {
+ unsigned tmp=0;
+ mem->read(addr,4,&tmp);
+ if( tmp != addr ) {
+ errors_found=1;
+ printf("ERROR ** mem[0x%x] = 0x%x, expected 0x%x\n", addr, tmp, addr );
+ }
+ }
+
+ for( mem_addr_t addr=0; addr < 16*1024; addr+=1) {
+ unsigned char val = (addr + 128) % 256;
+ mem->write(addr,1,&val);
+ }
+
+ for( mem_addr_t addr=0; addr < 16*1024; addr+=1) {
+ unsigned tmp=0;
+ mem->read(addr,1,&tmp);
+ unsigned char val = (addr + 128) % 256;
+ if( tmp != val ) {
+ errors_found=1;
+ printf("ERROR ** mem[0x%x] = 0x%x, expected 0x%x\n", addr, tmp, (unsigned)val );
+ }
+ }
+
+ if( errors_found ) {
+ printf("SUMMARY: ERRORS FOUND\n");
+ } else {
+ printf("SUMMARY: UNIT TEST PASSED\n");
+ }
+}
+
+#endif