Programming heterogeneous systems has been greatly simplified by OpenCL, which
provides a common low-level API for a large variety of compute devices. However, many low …

Although multi-core processors are now available everywhere, few applications are able to
truly exploit their multiprocessing capabilities. Dataflow programming attempts to solve this …

Tuning applications for multicore systems involve subtle concurrency concepts and target-
dependent optimizations. This paper advocates for a streaming execution model, called ER …

Dataflow programming has been used to describe signal processing applications for many
years, traditionally with cyclo-static dataflow (CSDF) or synchronous dataflow (SDF) models …

In this paper, we present StreamDrive, a dynamic dataflow framework for programming
clustered embedded multicore architectures. StreamDrive simplifies development of …

A widely considered strategy to prevent interference issues on multi-processor systems is to
isolate the execution of the individual applications by running each of them on a dedicated …

System adaptivity is becoming an important feature of modern embedded multiprocessor
systems. To achieve the goal of system adaptivity when executing Polyhedral Process …

The work presented in this thesis takes place in a context of growing demand for better video
quality (High-Definition TV, home cinema...) and unprecedented concern for power …

Applications based on the Kahn process network (KPN) model of computation are
determinate, modular, and based on FIFO communication for inter-process communication …

The development of multimedia technology, along with the emergence of parallel
architectures, has revived the interest on dataflow programming for designing embedded …