Apart from academic, recently more and more commercial coarse-grained reconfigurable arrays have been developed. Computational intensive applications from the area of video and wireless communication seek to exploit the computational power of such massively parallel SoCs. Conventionally, DSP processors are used in the digital signal processing domain. Thus, the existing compilation techniques are closely related to approaches from the DSP world. These approaches employ several loop transformations, like pipelining or temporal partitioning, but they are not able to exploit the full parallelism of a given algorithm and the computational potential of a typical 2-dimensional array. In thi
Abstract. State-of-the-art behavioral synthesis tools for reconfigurable architectures barely have h...
Coarse-grained reconfigurable architectures, which offer massive parallelism coupled with the capabi...
In this paper, we present a new approach towards programming coarse-grained reconfigurable arrays (C...
Coarse-grained reconfigurable architectures can enhance the performance of critical loops and comput...
Abstract Coarse-Grained Reconfigurable Array (CGRA) architectures accelerate the same inner loops th...
With the increasing demand for flexible yet highly efficient archi-tecture platforms for media appli...
Coarse-Grained Reconfigurable Array (CGRA) processors accelerate inner loops of applications by expl...
This paper presents various novel techniques for improving coarse-grained reconfigurable architectur...
We propose that, in order to meet high computational demands, the application development has to be ...
Coarse-Grained Reconfigurable Array (CGRA) architectures accelerate the same inner loops that benefi...
Abstract In this paper, an approach to the problem of exploiting parallelism within nested loops is ...
This paper presents the design and implementation of a coarse-grained reconfigurable architecture, t...
Pipelining algorithms are typically concerned with improving only the steady-state performance, or t...
Nested loops represent a significant portion of application runtime in multimedia and DSP applicatio...
Reconfigurable computing architectures allow the adaptation of the underlying datapath to the algori...
Abstract. State-of-the-art behavioral synthesis tools for reconfigurable architectures barely have h...
Coarse-grained reconfigurable architectures, which offer massive parallelism coupled with the capabi...
In this paper, we present a new approach towards programming coarse-grained reconfigurable arrays (C...
Coarse-grained reconfigurable architectures can enhance the performance of critical loops and comput...
Abstract Coarse-Grained Reconfigurable Array (CGRA) architectures accelerate the same inner loops th...
With the increasing demand for flexible yet highly efficient archi-tecture platforms for media appli...
Coarse-Grained Reconfigurable Array (CGRA) processors accelerate inner loops of applications by expl...
This paper presents various novel techniques for improving coarse-grained reconfigurable architectur...
We propose that, in order to meet high computational demands, the application development has to be ...
Coarse-Grained Reconfigurable Array (CGRA) architectures accelerate the same inner loops that benefi...
Abstract In this paper, an approach to the problem of exploiting parallelism within nested loops is ...
This paper presents the design and implementation of a coarse-grained reconfigurable architecture, t...
Pipelining algorithms are typically concerned with improving only the steady-state performance, or t...
Nested loops represent a significant portion of application runtime in multimedia and DSP applicatio...
Reconfigurable computing architectures allow the adaptation of the underlying datapath to the algori...
Abstract. State-of-the-art behavioral synthesis tools for reconfigurable architectures barely have h...
Coarse-grained reconfigurable architectures, which offer massive parallelism coupled with the capabi...
In this paper, we present a new approach towards programming coarse-grained reconfigurable arrays (C...