This work aims at distilling a systematic methodology to modernize existing sequential
scientific codes with a little re-designing effort, turning an old codebase into modern code, ie …

Abstract SPar is a Domain-Specific Language (DSL) designed to provide high-level parallel
programming abstractions for streaming applications. Video processing application domain …

Data generation, collection, and processing is an important workload of modern computer
architectures. Stream or high-intensity data flow applications are commonly employed in …

In this paper, we introduce a translation tool that translates any sequential C++ source code
into parallel source code written in C++ and OpenACC programming model. The tool …

Abstract The Generic Reusable Parallel Pattern Interface (GrPPI) is a very useful abstraction
over different parallel pattern libraries, allowing the programmer to write generic patterned …

This work aims at distilling a systematic methodology to modernize existing sequential
scientific codes with a limited re-designing effort, turning an old codebase into modern code …

Semi-automatic parallelization provides abstractions that simplify the programming effort
and allow the user to make decisions that cannot be made by tools. However, abstractions …

SPar was originally designed to provide high-level abstractions for stream parallelism in
C++ programs targeting multi-core systems. This work proposes distributed parallel …

We present Pipelite, a dynamic scheduler that exploits the properties of dynamic linear
pipelines to achieve high performance for fine-grained workloads. The flexibility of Pipelite …

Parallelizing and optimizing codes for recent multi-/many-core processors have been
recognized to be a complex task. For this reason, strategies to automatically transform …