Added GPU library and package directories.

git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@3036 f3b2605a-c512-4ea7-a41b-209d697bcdaa

lib/gpu/nvc_device.h

@@ -0,0 +1,92 @@
+/***************************************************************************
+                                nvc_device.h
+                             -------------------
+                               W. Michael Brown
+
+  Utilities for dealing with cuda devices
+
+ __________________________________________________________________________
+    This file is part of the NVC Library
+ __________________________________________________________________________
+
+    begin                : Wed Jan 28 2009
+    copyright            : (C) 2009 by W. Michael Brown
+    email                : wmbrown@sandia.gov
+ ***************************************************************************/
+
+/* -----------------------------------------------------------------------
+   Copyright (2009) Sandia Corporation.  Under the terms of Contract
+   DE-AC04-94AL85000 with Sandia Corporation, the U.S. Government retains
+   certain rights in this software.  This software is distributed under 
+   the GNU General Public License.
+   ----------------------------------------------------------------------- */
+
+#ifndef NVC_DEVICE
+#define NVC_DEVICE
+
+#include <string>
+#include <vector>
+#include <iostream>
+
+using namespace std;
+
+/// Class for looking at device properties
+/** \note Calls to change the device outside of the class results in incorrect
+  *       behavior 
+  * \note There is no error checking for indexing past the number of devices **/
+class NVCDevice {
+ public:
+  /// Grabs the properties for all devices
+  NVCDevice();
+
+  /// Return the number of devices that support CUDA
+  inline int num_devices() { return _properties.size(); }
+
+  /// Set the CUDA device to the specified device number
+  void set(int num);
+
+  /// Get the current device number
+  inline int device_num() { return _device; }
+
+  /// Get the current CUDA device name
+  inline string name() { return name(_device); }
+  /// Get the CUDA device name
+  inline string name(const int i) { return string(_properties[i].name); }
+
+  /// Get the number of cores in the current device
+  inline unsigned cores() { return cores(_device); }
+  /// Get the number of cores
+  inline unsigned cores(const int i) 
+    { return _properties[i].multiProcessorCount*8; }
+  
+  /// Get the gigabytes of global memory in the current device
+  inline double gigabytes() { return gigabytes(_device); }
+  /// Get the gigabytes of global memory
+  inline double gigabytes(const int i) 
+    { return static_cast<double>(_properties[i].totalGlobalMem)/1073741824; }
+  
+  /// Get the bytes of global memory in the current device
+  inline size_t bytes() { return bytes(_device); }
+  /// Get the bytes of global memory
+  inline size_t bytes(const int i) { return _properties[i].totalGlobalMem; }
+
+  /// Return the GPGPU revision number for current device
+  inline double revision() { return revision(_device); }
+  /// Return the GPGPU revision number
+  inline double revision(const int i) 
+    { return static_cast<double>(_properties[i].minor)/10+_properties[i].major;}
+  
+  /// Clock rate in GHz for current device
+  inline double clock_rate() { return clock_rate(_device); }
+  /// Clock rate in GHz
+  inline double clock_rate(const int i) { return _properties[i].clockRate*1e-6;}
+               
+  /// List all devices along with all properties
+  void print_all(ostream &out);
+ 
+ private:
+  int _device, _num_devices;
+  vector<cudaDeviceProp> _properties;
+};
+
+#endif