New tag release - 0.7.1 (#565)

* preps for new tag, 0.7.1

* Update README.md

CHANGELOG.md

@@ -1,6 +1,9 @@
 # Change Log
 All notable changes to HiOp are documented in this file.
 
+## Version 0.7.1: Miscellaneous fixes to build system
+This minor release fixes a couple of issues found in the build system after the major release 0.7 of HiOp. 
+
 ## Version 0.7.0: Fortran interface and misc fixes and improvements:
 - Fortran interface and examples
 - Bug fixing for sparse device linear solvers

CMakeLists.txt

@@ -11,7 +11,7 @@ if (POLICY CMP0074)
   cmake_policy(SET CMP0074 NEW)
 endif ()
 
-project (hiop VERSION "0.7.0")
+project (hiop VERSION "0.7.1")
 
 string(TIMESTAMP HIOP_RELEASE_DATE "%Y-%m-%d")
 

README.md

@@ -93,9 +93,12 @@ $> make install
 * *-DCMAKE_CXX_FLAGS="-O3"* will enable a high level of compiler code optimization
 
 ### Dependencies
-HiOp requires LAPACK and BLAS. These dependencies are automatically detected by the build system. MPI is optional and by default enabled. To disable use cmake option '-DHIOP_USE_MPI=OFF'.
 
-HiOp has some support for NVIDIA **GPU-based computations** via CUDA and Magma. To enable the use of GPUs, use cmake with '-DHIOP_USE_GPU=ON'. The build system will automatically search for CUDA Toolkit. For non-standard CUDA Toolkit installations, use '-DHIOP_CUDA_LIB_DIR=/path' and '-DHIOP_CUDA_INCLUDE_DIR=/path'. For "very" non-standard CUDA Toolkit installations, one can specify the directory of cuBlas libraries as well with '-DHIOP_CUBLAS_LIB_DIR=/path'.
+A complete list of dependencies is maintained [here](https://github.com/spack/spack/blob/develop/var/spack/repos/builtin/packages/hiop/package.py).
+
+For a minimal build, HiOp requires LAPACK and BLAS. These dependencies are automatically detected by the build system. MPI is optional and by default enabled. To disable use cmake option '-DHIOP_USE_MPI=OFF'.
+
+HiOp has support for NVIDIA **GPU-based computations** via CUDA and Magma. To enable the use of GPUs, use cmake with '-DHIOP_USE_GPU=ON'. The build system will automatically search for CUDA Toolkit. For non-standard CUDA Toolkit installations, use '-DHIOP_CUDA_LIB_DIR=/path' and '-DHIOP_CUDA_INCLUDE_DIR=/path'. For "very" non-standard CUDA Toolkit installations, one can specify the directory of cuBlas libraries as well with '-DHIOP_CUBLAS_LIB_DIR=/path'.
 
 ### Using RAJA and Umpire portability libraries