/* * stack.h * * Copyright (c) 2009 by Tor M. Aamodt, Wilson W. L. Fung, Ali Bakhoda, * Ivan Sham 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 * src/gpgpusim_entrypoint.c and src/simplesim-3.0/ are derived from the * SimpleScalar Toolset available from http://www.simplescalar.com/ * (property of SimpleScalar LLC) and the files src/intersim/ are derived * from Booksim (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. * * 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 */ #ifndef _MY_STACK_ #define _MY_STACK_ #include "../abstract_hardware_model.h" typedef struct { address_type *v; int max_size; int top; } Stack; void push_stack(Stack *S, address_type val); address_type pop_stack(Stack *S); address_type top_stack(Stack *S); Stack* new_stack(int size); void free_stack(Stack *S); int size_stack(Stack *S); int full_stack(Stack *S); int empty_stack(Stack *S); int element_exist_stack(Stack *S, address_type value); void reset_stack(Stack *S); #endif // _MY_STACK_