The manual creation of specialized hard-ware infrastructures for complex multi-purpose systems is error-prone and time-consuming. Moreover, lots of effort is required to define an optimized and heterogeneous components library. To tackle these issues, we propose a novel design flow based on the Dataflow Process Networks Model of Computation. In particular, we have combined the operation of two state of the art tools, the Multi-Dataflow Composer and the Open RVC-CAL Compiler, handling respectively the automatic mapping of a reconfigurable multi-purpose substrate and the high level synthesis of hardware components. Our approach guarantees runtime efficiency and on-chip area saving both on FPGAs and ASICs
Abstract—Hardware accelerators are widely adopted to speed up computationally onerous applications. ...
Specialized hardware infrastructures for efficient multi-application runtime reconfigurable platform...
In recent years, the number and variety of heterogeneous multiprocessor system-on-chip MPSoCs, such ...
The manual creation of specialized hard-ware infrastructures for complex multi-purpose systems is er...
Model of Computation (MoC) has been used in differ-ent ways to improve time-to-market for complex mu...
Dataflow specifications are suitable to describe both signal processing applications and the relativ...
Abstract Dataflow programming has received increasing attention in the age of multicore and heterog...
Dataflow Model of Computation (D-MoC) is particularly suitable to close the gap between hardware arc...
The implementation of processing platforms supporting multiple applications by runtime reconfigurati...
International audienceThis paper presents an implementation of dataflow programs specified in RVC-CA...
iii Dataflow programming is emerging as a promising technology for program-ming of parallel systems,...
Abstract The increasing number of cores in System on Chips (SoC) has introduced challenges in softw...
The implementation of multi-context systems over coarse-grained reconfigurable platforms could bring...
Writing and optimizing application software for heterogeneous platforms including GPU units is a ver...
The RVC-CAL dataflow language has recently become stan-dardized through its use as the official lang...
Abstract—Hardware accelerators are widely adopted to speed up computationally onerous applications. ...
Specialized hardware infrastructures for efficient multi-application runtime reconfigurable platform...
In recent years, the number and variety of heterogeneous multiprocessor system-on-chip MPSoCs, such ...
The manual creation of specialized hard-ware infrastructures for complex multi-purpose systems is er...
Model of Computation (MoC) has been used in differ-ent ways to improve time-to-market for complex mu...
Dataflow specifications are suitable to describe both signal processing applications and the relativ...
Abstract Dataflow programming has received increasing attention in the age of multicore and heterog...
Dataflow Model of Computation (D-MoC) is particularly suitable to close the gap between hardware arc...
The implementation of processing platforms supporting multiple applications by runtime reconfigurati...
International audienceThis paper presents an implementation of dataflow programs specified in RVC-CA...
iii Dataflow programming is emerging as a promising technology for program-ming of parallel systems,...
Abstract The increasing number of cores in System on Chips (SoC) has introduced challenges in softw...
The implementation of multi-context systems over coarse-grained reconfigurable platforms could bring...
Writing and optimizing application software for heterogeneous platforms including GPU units is a ver...
The RVC-CAL dataflow language has recently become stan-dardized through its use as the official lang...
Abstract—Hardware accelerators are widely adopted to speed up computationally onerous applications. ...
Specialized hardware infrastructures for efficient multi-application runtime reconfigurable platform...
In recent years, the number and variety of heterogeneous multiprocessor system-on-chip MPSoCs, such ...