Documentation Updated: Installation, landing page and resources

docs/source/conf.py

@@ -3,11 +3,11 @@
 # -- Project information
 
 project = "TornadoVM"
-copyright = "2013-2023, APT Group, Department of Computer Science"
+copyright = "2013-2024, APT Group, Department of Computer Science"
 author = "The University of Manchester"
 
-release = "v1.0"
-version = "v1.0"
+release = "v1.0.4"
+version = "v1.0.4"
 
 # -- General configuration
 

docs/source/index.rst

@@ -2,23 +2,41 @@ TornadoVM
 ===================================
 
 .. image:: images/logo.jpg
-  :width: 100
+  :width: 150
   :alt: Sample Text
   :align: left
 
-TornadoVM is a plug-in to OpenJDK and other JDK distributions (e.g., GraalVM, Red Hat Mandrel, Amazon Corretto, Microsoft OpenJDK, Azul Zulu)
+TornadoVM is a plug-in to OpenJDK and other JDK distributions (e.g., GraalVM, Red Hat Mandrel, Amazon Corretto, Microsoft OpenJDK, SAP, Azul Zulu)
 that allows developers to automatically run Java programs on heterogeneous hardware.
-TornadoVM targets devices compatible with OpenCL, PTX and Level-Zero, which include multi-core CPUs,
-dedicated GPUs (Intel, NVIDIA, AMD), integrated GPUs (Intel HD Graphics and ARM Mali), and FPGAs (Intel and Xilinx).
+TornadoVM targets devices compatible with OpenCL, NVIDIA PTX and Level-Zero, which include multi-core CPUs,
+dedicated GPUs (Intel, NVIDIA, AMD), integrated GPUs (Intel HD Graphics, Apple M1/M2/M3, and ARM Mali), and FPGAs (Intel and Xilinx).
 
-TornadoVM has three backends: OpenCL, NVIDIA CUDA PTX, and SPIR-V.
-Developers can choose which backends to install and run.
+TornadoVM provides three backends:
+  - OpenCL C: dispatched through an OpenCL runtime. 
+  - NVIDIA CUDA PTX: dispatched through the NVIDIA driver API. 
+  - SPIR-V: dispatched through the Level-Zero API. 
 
-TornadoVM does not replace existing VMs, but it rather complements them with the capability of offloading Java code to OpenCL, PTX and SPIR-V,
+Developers can choose which backend/s to install and run.
+
+
+What is unique about TornadoVM? 
+--------------------------------
+
+TornadoVM does not only provide a set of JIT compilers to transpile Java bytecode to the target backend-code. 
+It also provides a set of runtime features that make it unique in the Java scope:
+
+- **Dynamic reconfiguration and live-task migration** across devices at runtime.
+- **Live profiling:** TornadoVM provides utilities to profile and debug code on multiple platforms, including FPGAs.
+- **Batch processing:** TornadoVM provides utilities to perform automatic split and batch processing for acceleration of big-data applications.
+- **Multi-device & Multi-backend support:** TornadoVM can offload and run multiple kernels concurrently using different hardware accelerators using different backends. 
+- **TornadoVM is multi-vendor**, running applications on NVIDIA, Intel, AMD, ARM and even RISC-V hardware accelerators. 
+
+
+**Important:** TornadoVM does not replace existing VMs, but it rather complements them with the capability of offloading Java code to OpenCL, PTX and SPIR-V,
 handling memory management between Java and hardware accelerators, and running/coordinating the compute-kernels.
 
 
-Contents
+Content:
 --------
 
 .. toctree::