OpenMP enables productive software development that targets shared-memory general purpose systems. However, OpenMP compilers today have little support for future heterogeneous systems – systems that will more than likely contain Field Programmable Gate Arrays (FPGAs) to compensate for the lack of parallelism available in general purpose systems. We have designed a high-level synthesis flow that automatically generates parallel hardware from unmodified OpenMP programs. The generated hardware is composed of accelerators tailored to act as hardware instances of the OpenMP task primitive. We drive decision making of complex details within accelerators through a constraint-programming model, minimizing the expected input from the (often) hardwar...
OpenMP is a very convenient programming model to parallelize critical real-time applications for sev...
In the fields of high performance computing (HPC) and embedded systems, the current trend is to empl...
GPUs as general purpose processors already are well adopted in scien-tific and high performance comp...
OpenMP enables productive software development that targets shared-memory general purpose systems. H...
As chip manufacturing processes are getting ever closer to what is physically possible, the projecti...
The task-based programming paradigm offers a portable way of writing parallel applications. However,...
Abstract—We describe the support within high-level hard-ware synthesis (HLS) for two standard softwa...
OpenMP [13] is the dominant programming model for shared-memory parallelism in C, C++ and Fortran du...
Specific hardware customization for scientific applications has shown a big potential to address the...
In an ideal world, scientific applications would be expressed as high-level compositions of abstract...
The problem of automatically generating hardware modules from high level application representations...
Parallelisation is becoming more and more important as the single core performance increase is stagn...
Since the introduction of the “target” directive in the 4.0 specification, the usage of OpenMP for h...
Proceedings of: Third International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2016...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/18...
OpenMP is a very convenient programming model to parallelize critical real-time applications for sev...
In the fields of high performance computing (HPC) and embedded systems, the current trend is to empl...
GPUs as general purpose processors already are well adopted in scien-tific and high performance comp...
OpenMP enables productive software development that targets shared-memory general purpose systems. H...
As chip manufacturing processes are getting ever closer to what is physically possible, the projecti...
The task-based programming paradigm offers a portable way of writing parallel applications. However,...
Abstract—We describe the support within high-level hard-ware synthesis (HLS) for two standard softwa...
OpenMP [13] is the dominant programming model for shared-memory parallelism in C, C++ and Fortran du...
Specific hardware customization for scientific applications has shown a big potential to address the...
In an ideal world, scientific applications would be expressed as high-level compositions of abstract...
The problem of automatically generating hardware modules from high level application representations...
Parallelisation is becoming more and more important as the single core performance increase is stagn...
Since the introduction of the “target” directive in the 4.0 specification, the usage of OpenMP for h...
Proceedings of: Third International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2016...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/18...
OpenMP is a very convenient programming model to parallelize critical real-time applications for sev...
In the fields of high performance computing (HPC) and embedded systems, the current trend is to empl...
GPUs as general purpose processors already are well adopted in scien-tific and high performance comp...