/* * 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 template memory_space_impl::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 void memory_space_impl::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 void memory_space_impl::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