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.hgignore (1363, 2021-04-11)
.jcheck (0, 2021-04-11)
.jcheck\conf (24, 2021-04-11)
AUTHORS.md (264, 2021-04-11)
DOCUMENTATION_OPTIONS.md (2444, 2021-04-11)
INSTALL.md (2365, 2021-04-11)
LICENSE.md (18092, 2021-04-11)
Makefile (563, 2021-04-11)
examples (0, 2021-04-11)
examples\HelloVectorTypes.sh (445, 2021-04-11)
examples\helloMarawaccJVMCI.sh (547, 2021-04-11)
examples\helloMarawaccJVMCIWithOptirun.sh (586, 2021-04-11)
examples\helloMarawaccServer.sh (319, 2021-04-11)
examples\imageConversion.sh (561, 2021-04-11)
examples\minimal.sh (379, 2021-04-11)
mx.marawacc (0, 2021-04-11)
mx.marawacc\suite.py (6473, 2021-04-11)
scripts (0, 2021-04-11)
scripts\checkJOCL.py (593, 2021-04-11)
src (0, 2021-04-11)
src\uk.ac.ed.accelerator.hotspot (0, 2021-04-11)
src\uk.ac.ed.accelerator.hotspot\src (0, 2021-04-11)
src\uk.ac.ed.accelerator.hotspot\src\uk (0, 2021-04-11)
src\uk.ac.ed.accelerator.hotspot\src\uk\ac (0, 2021-04-11)
src\uk.ac.ed.accelerator.hotspot\src\uk\ac\ed (0, 2021-04-11)
src\uk.ac.ed.accelerator.hotspot\src\uk\ac\ed\accelerator (0, 2021-04-11)
src\uk.ac.ed.accelerator.hotspot\src\uk\ac\ed\accelerator\hotspot (0, 2021-04-11)
src\uk.ac.ed.accelerator.hotspot\src\uk\ac\ed\accelerator\hotspot\AcceleratorHotSpotBackend.java (1400, 2021-04-11)
src\uk.ac.ed.accelerator.hotspot\src\uk\ac\ed\accelerator\hotspot\AcceleratorHotSpotLIRGenerator.java (1706, 2021-04-11)
src\uk.ac.ed.accelerator.marawacc (0, 2021-04-11)
src\uk.ac.ed.accelerator.marawacc\src (0, 2021-04-11)
src\uk.ac.ed.accelerator.marawacc\src\uk (0, 2021-04-11)
src\uk.ac.ed.accelerator.marawacc\src\uk\ac (0, 2021-04-11)
src\uk.ac.ed.accelerator.marawacc\src\uk\ac\ed (0, 2021-04-11)
src\uk.ac.ed.accelerator.marawacc\src\uk\ac\ed\accelerator (0, 2021-04-11)
src\uk.ac.ed.accelerator.marawacc\src\uk\ac\ed\accelerator\marawacc (0, 2021-04-11)
src\uk.ac.ed.accelerator.marawacc\src\uk\ac\ed\accelerator\marawacc\Marawacc.java (198, 2021-04-11)
src\uk.ac.ed.accelerator.math (0, 2021-04-11)
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# README # Marawacc is a compiler framework for OpenCL Just-In-Time (JIT) that automatically compiles a subset of the Java bytecode into OpenCL, and a runtime system that orchestrates the execution of the GPU program within Java. Marawacc is a research prototype. Marawacc makes use of the Graal compiler and Truffle DSL ([https://github.com/graalvm/graal](https://github.com/graalvm/graal)) to optimise Java and R programs on top of the JVM. Marawacc integrates an API, called **JPAI** (Java Parallel Array Interface) [2] to develop GPU and multi-core Java applications using the Function interface in Java 8. JPAI is a new Java API based on Java 8 Stream for parallel and heterogeneous programming. JPAI uses algorithmic skeletons and the new feature of Java lambda expressions to facilitate the programmability and readability. Parallel operations using map/reduce in JPAI can be composed and reused. ### Install Marawacc ### See the [INSTALL.md](INSTALL.md) in this repository. ### Run Marawacc ### Once Marawacc is compiled, it runs within the Graal VM. To enable OpenCL JIT compilation you need the following flags: ```bash -jvmci -XX:-BootstrapJVMCI -XX:-UseJVMCIClassLoader -Dmarawacc.printOCLKernel=true ``` ### Marawacc Options ### See DOCUMENTATION_OPTIONS.md file in this repository. ### Example in JPAI ### Marawacc is the backend that generates OpenCL code at runtime from the Graal IR and executes the GPU program. JPAI is the interface to program GPUs and multi-core CPUs. For GPU execution, JPAI invokes Marawacc. This section shows a full example in JPAI. ```java public class Hello { public static void main(String[] args) { // Main Function in JPAI is the ArrayFunction // ArrayFunction computes a function from types T to R ArrayFunction, Double> computation = new MapAccelerator<>(vectors -> (2.5 * vectors._1() + vectors._2()); // Prepare the input data int size = 262144; PArray> input = new PArray<>(size, TypeFactory.Tuple("Tuple2")); for (int i = 0; i < size; ++i) { input.put(i, new Tuple2<>((double) i, (double) (i + 2))); } // Compute on the GPU. The apply method will generate the OpenCL code and execute it on the GPU. PArray output = computation.apply(input); } } ``` * ArrayFunction: it is the main class in JPAI. It extends the Function interface in Java 8 with algorithmic skeletons such as map and reduce. * PArray: Portable Array (PArray) is a data structure created for avoiding the data transformation between Java and OpenCL (marshalling) and increase the overall performance. Details of the PArray data structure in [1]. # Publications [1] Juan Jos Fumero, Toomas Remmelg, Michel Steuwer, and Christophe Dubach. 2015. **Runtime Code Generation and Data Management for Heterogeneous Computing in Java.** In Proceedings of the Principles and Practices of Programming on The Java Platform (PPPJ '15). ACM, New York, NY, USA, 16-26. DOI: http://dx.doi.org/10.1145/2807426.2807428 [2] Juan Jose Fumero, Michel Steuwer, and Christophe Dubach. 2014. **A Composable Array Function Interface for Heterogeneous Computing in Java.** In Proceedings of ACM SIGPLAN International Workshop on Libraries, Languages, and Compilers for Array Programming (ARRAY'14). ACM, New York, NY, USA, Pages 44, 6 pages. DOI=http://dx.doi.org/10.1145/2627373.2627381 *Marawacc is used as a backend for FastR+GPU project (OpenCL JIT compilation for the R programs using Partial Evaluation in Graal)* [3] Juan Fumero, Michel Steuwer, Lukas Stadler, and Christophe Dubach. 2017. **Just-In-Time GPU Compilation for Interpreted Languages with Partial Evaluation.** In Proceedings of the 13th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments (VEE '17). ACM, New York, NY, USA, 60-73. DOI: https://doi.org/10.1145/3050748.3050761 [4] Juan Fumero, Michel Steuwer, Lukas Stadler, Christophe Dubach. **OpenCL JIT Compilation for Dynamic Programming Language.** MoreVMs 2017. [http://conf.researchr.org/event/MoreVMs-2017/morevms-2017-papers-opencl-jit-compilation-for-dynamic-programming-languages](http://conf.researchr.org/event/MoreVMs-2017/morevms-2017-papers-opencl-jit-compilation-for-dynamic-programming-languages) [5] Juan Fumero. **Accelerating interpreted programming languages on GPUs with just-in-time compilation and runtime optimisations**. PhD Dissertation, 30/11/2017 - [Link](https://era.ed.ac.uk/handle/1842/28718) ### License ### GPL V2 ### Who do I talk to? ### Marawacc project is a part of my PhD at the University of Edinburgh. My PhD has been partially funded by Oracle Labs. #### Main Developer * Juan Fumero #### Supervisors * Christophe Dubach * Michel Steuwer

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