Updated README and version req in CMake

hpvm/projects/hpvm-tensor-rt/CMakeLists.txt

 cmake_minimum_required(VERSION 3.17)
 project(hpvm-tensor-rt)
-find_package(CUDA 6.5 REQUIRED)
+find_package(CUDA 9.1 REQUIRED)
 set(CUDA_SEPARABLE_COMPILATION ON CACHE BOOL "")
 set(CUDA_PROPAGATE_HOST_FLAGS OFF)
 

hpvm/projects/hpvm-tensor-rt/README.md

-# AppproxHPVM Tensor Runtime
+# ApproxHPVM Tensor Runtime
 
-## Dependencies
+## Getting Started
 
-* CUDNN-7.0 or above
-* CUDA-9.1 or above
-* CUBLAS-9.1 or above - included with cuda-toolkit
+### Dependencies
 
-## Dependent Library Builds
+- CUDA-9.1 or above
+  - Your device must have a CUDA-enabled nVidia GPU
+  - CUBLAS-9.1 or above - included with CUDA by default
 
-```shell
-cd ../gpu_profiler
-mkdir lib
-cmake ../
-make
+- cuDNN-7.0 or above
 
-cd ../soc_simulator
-mkdir lib
-cmake ../
-make
-```
+- `cmake >= 3.17`
+
+- `make >= 4`
+
+- `gcc < 8` or `3.2 <= clang < 9`
+  - We have an upperbound for compiler version because CUDA doesn't support too recent compilers
 
+### Building the Tensor Runtime
 
-## BUILD
+The following commands will compile the tensor runtime library (`build/libtensor_runtime.a`)
+as well as a number of exemplary benchmarks (DNN models):
 
 ```shell
-source bin/setup_cuda_paths.sh
-mkdir build
-cd build
+mkdir build && cd build
 cmake ../
-make
+make -j
 ```
 
+### Tensor Runtime APIs
 
-## Directory Structure
+- `tensor_runtime/include/tensor_runtime.h` declares all the functions available in the runtime.
 
-* ./tensor_runtime:
-  * ./tensor_runtime/include/: Include files for Tensor Runtime
-  * ./tensor_runtime/include/tensor_signatures.cc: Include file with Tensor RT signatures
-    * NOTE: UPDATE this with updated API
-  * ./tensor_runtime/src/: HPVM TensorRT sources
-  
-* ./dnn_sources:
-  * ./dnn_sources/src/${BENCH}.cc: Per Bench FULL-precision source
-  * ./dnn_sources/src/half/${BENCH}.cc: Per Bench HALF-precision source
-  * ./dnn_sources/src/promise/${BENCH}.cc: Per Bench Layer-API source
-  
-* ./lib:
-  * ./lib/tensor_runtime.ll
-    * NOTE: generated from ./tensor_runtime/include/tensor_signatures.cc
-  * ./lib/libtensor_runtime.a
-    * NOTE: Linked against HPVM benchmarks
-  * ./lib/libtensor_autotuner.a
-    * NOTE: error-injection library linked with benchmarks
-    
-* ./bin:
-  * ./bin/install_runtime.sh: Script for moving Tensor RT files to ./lib
-  * ./bin/run_autotuner.py: Python script for running Autotuner experiments
-  * ./bin/setup_tyler_paths.sh: Tyler-specific path setup for Tensor RT
-  * ./bin/setup_jetson.sh: Jetson board specific path setup for Tensor RT
-  * ./bin/setup_cuda_paths.sh: Place-holder script for setting CUDA paths
-  * ./bin/swing_selection.py: Script for hardware mapping
-    * NOTE: Includes the L2,L1 norm mapping to hardware knobs
-
-* ./opentuner:
-  * ./opentuner/autotuner/: Autotuner scripts
-  * ./opentuner/autotuner/approxhpvm_tuner.py: Tuner script for ApproxHPVM binaries
-  * ./opentuner/autotuner/promise_tuner.py: Tuner script for tuning PROMISE voltage levels
+  TODO: the tensor runtime is generally under-documented at the time.
+  More documentation will be added in the first public release.
+
+- For examples of using `tensor_runtime` functions, see `dnn_sources/src/alexnet_cifar10.cc`.
+  - Also, try running `build/alexnet_cifar10` which is compiled from that file and runnable out of the box.
+
+## Developer Notes
+
+### Directory Structure
+
+- ./tensor_runtime:
+  - ./tensor_runtime/include/: Include files for Tensor Runtime
+  - ./tensor_runtime/include/tensor_signatures.cc: Include file with Tensor RT signatures
+    - NOTE: UPDATE this with updated API
+  - ./tensor_runtime/src/: HPVM TensorRT sources
   
+- ./dnn_sources:
+  - ./dnn_sources/src/${BENCH}.cc: Per Bench FULL-precision source
+  - ./dnn_sources/src/half/${BENCH}.cc: Per Bench HALF-precision source
+  - ./dnn_sources/src/promise/${BENCH}.cc: Per Bench Layer-API source
+
+- ./bin:
+  - ./bin/install_runtime.sh: Script for moving Tensor RT files to ./lib
+  - ./bin/run_autotuner.py: Python script for running Autotuner experiments
+  - ./bin/setup_tyler_paths.sh: Tyler-specific path setup for Tensor RT
+  - ./bin/setup_jetson.sh: Jetson board specific path setup for Tensor RT
+  - ./bin/setup_cuda_paths.sh: Place-holder script for setting CUDA paths
+  - ./bin/swing_selection.py: Script for hardware mapping
+    - NOTE: Includes the L2,L1 norm mapping to hardware knobs