[docs] README file updated - docker documentation
@@ -19,6 +19,11 @@ We also maintain a live TornadoVM whitepaper document which you can download [he
#### B) Using Docker
+_We have tested our docker images for CentOS >= 7.4 and Ubuntu >= 16.04._
+We currently have two docker images:
+* TornadoVM docker image for NVIDIA GPUs
+* TornadoVM docker image for Intel Integrated Graphics
+
##### TornadoVM Docker for NVIDIA GPUs:
It requires the [nvidia-docker](https://github.com/NVIDIA/nvidia-docker) runtime.
@@ -45,6 +50,17 @@ $ ./run_intel.sh tornado example/MatrixMultiplication
See our [docker-tornado](https://github.com/beehive-lab/docker-tornado) repository for more details.
+##### Example:
+
+```bash
+## Run with TornadoVM on an NVIDIA GPU
+$ ./run_nvidia.sh tornado example/MatrixMultiplication 2048 ## Running on NVIDIA GP100
+Computing MxM of 2048x2048
+ CPU Execution: 0.36 GFlops, Total time = 48254 ms
+ GPU Execution: 277.09 GFlops, Total Time = 62 ms
+ Speedup: 778x
+```
+
## What can I do with TornadoVM?
We have a use-case, [kfusion-tornadovm](https://github.com/beehive-lab/kfusion-tornadovm), for accelerating a computer-vision application implemented in Java using the Tornado-API to run on GPUs.
