Streaming applications are built of data-driven, computational components, consuming and producing unbounded data streams. Streaming oriented systems have become dominant in a wide range of domains, including embedded applications and DSPs. However, programming efficiently for streaming architectures is a challenging task, having to carefully partition the computation and map it to processes in a way that best matches the underlying streaming architecture, taking into account the distributed resources (memory, processing, real-time requirements) and communication overheads (processing and delay). These challenges have led to a number of suggested solutions, whose goal is to improve the programmer’s productivity in developing applications that process massive streams of data on programmable, parallel embedded architectures. StreamIt is one such example. Another more recent approach is that developed by the ACOTES project (Advanced Compiler Technologies for Embedded Streaming). The ACOTES approach for streaming applications consists of compiler-assisted mapping of streaming tasks to highly parallel systems in order to maximize cost-effectiveness, both in terms of energy and in terms of design effort. The analysis and transformation techniques automate large parts of the partitioning and mapping process, based on the properties of the application domain, on the quantitative information about the target systems, and on programmer directives. This paper presents the outcomes of the ACOTES project, a 3-year collaborative work of industrial (NXP, ST, IBM, Silicon Hive, NOKIA) and academic (UPC, INRIA, MINES ParisTech) partners, and advocates the use of Advanced Compiler Technologies that we developed to support Embedded Streaming.

The HiPEAC roadmap describes the HiPEAC vision on high-performance embedded architecture and compilation for the coming decade. It starts from societal challenges, application and industry trends, and technological constraints which lead to 7 technical challenges. This forms the basis for the HiPEAC vision "keep it simple for humans, and let the computer do the hard work" and its consequences. The roadmap ends with a SWOT analysis of the computing systems industry in Europe, and 6 research recommendations.

Streaming applications are based on a data-driven approach where compute components consume and produce unbounded data vec- tors. Streaming oriented systems have become dominant in a wide range of domains, including embedded applications and DSPs However, programming efficiently for streaming architectures is a very challenging task, having to carefully partition the computation and map it to processes in a way that best matches the underlying multi-core streaming architectures, as well as having to take into account the needed resources (memory, processing, real-time re- quirements, etc.) and communication overheads (processing and delay) between the processors. These challenges have led to a number of suggested solu- tions, whose goal is to improve the programmer's efficiency in developing applications that process massive streams of data on programmable, parallel embedded architectures. StreamIt is one such example. Another more recent approach is that developed by the ACOTES (Advanced Compiler Technologies for Embedded Streaming) project. The ACOTES approach for streaming appli- cations consists of compiler-assisted mapping of streaming tasks to highly parallel systems in order to maximize cost-effectiveness, both in terms of energy and in terms of design effort. The analysis and transformation techniques automate large parts of the partition- ing and mapping process, based on the properties of the application domain, on the quantitative information about the target systems, and on programmer directives. This paper presents the outcomes of the ACOTES project, a 3- year collaborative work of industrial (NXP, ST, IBM, Silicon Hive, NOKIA) and academic (UPC, INRIA, MINES ParisTech) partners, and advocates the use the Advanced Compiler Technologies that we developed to support Embedded Streaming.