This paper presents various novel techniques for improving coarse-grained reconfigurable architectures. Specifically, it presents techniques for supporting IEEE single precision floating-point standard, efficient handling of loop-carried dependency with variable-length FIFOs, efficient mapping of control flows, and sharing data with a host processor for transparent binary acceleration. Experiments with benchmark examples demonstrate the effectiveness of the proposed techniques
Reconfigurable Arrays combine the benefit of spatial execution, typical of hardware solutions, with ...
This paper presents a compiler methodology for memory-aware mapping on 2-Dimensional coarse-grained ...
In this paper we study the performance improvements and trade-offs derived from an optimized mapping...
Coarse-grained reconfigurable architectures can enhance the performance of critical loops and comput...
ABSTRACT The increasing requirements for more flexibility and higher performance have drawn attentio...
Abstract – Coarse-grained reconfigurable architectures have become more attractive with the increasi...
We propose that, in order to meet high computational demands, the application development has to be ...
Abstract Coarse-Grained Reconfigurable Array (CGRA) architectures accelerate the same inner loops th...
Increasing silicon area and inter-chip communication costs allow and require that modern general pur...
Reconfigurable computing architectures allow the adaptation of the underlying datapath to the algori...
Reconfigurable architectures become more popular now general purpose compute performance does not in...
Coarse-Grained Reconfigurable Array (CGRA) architectures accelerate the same inner loops that benefit ...
Contains fulltext : 182804.pdf (author's version ) (Open Access
Coarse-grained reconfigurable architectures, which offer massive parallelism coupled with the capabi...
Apart from academic, recently more and more commercial coarse-grained reconfigurable arrays have bee...
Reconfigurable Arrays combine the benefit of spatial execution, typical of hardware solutions, with ...
This paper presents a compiler methodology for memory-aware mapping on 2-Dimensional coarse-grained ...
In this paper we study the performance improvements and trade-offs derived from an optimized mapping...
Coarse-grained reconfigurable architectures can enhance the performance of critical loops and comput...
ABSTRACT The increasing requirements for more flexibility and higher performance have drawn attentio...
Abstract – Coarse-grained reconfigurable architectures have become more attractive with the increasi...
We propose that, in order to meet high computational demands, the application development has to be ...
Abstract Coarse-Grained Reconfigurable Array (CGRA) architectures accelerate the same inner loops th...
Increasing silicon area and inter-chip communication costs allow and require that modern general pur...
Reconfigurable computing architectures allow the adaptation of the underlying datapath to the algori...
Reconfigurable architectures become more popular now general purpose compute performance does not in...
Coarse-Grained Reconfigurable Array (CGRA) architectures accelerate the same inner loops that benefit ...
Contains fulltext : 182804.pdf (author's version ) (Open Access
Coarse-grained reconfigurable architectures, which offer massive parallelism coupled with the capabi...
Apart from academic, recently more and more commercial coarse-grained reconfigurable arrays have bee...
Reconfigurable Arrays combine the benefit of spatial execution, typical of hardware solutions, with ...
This paper presents a compiler methodology for memory-aware mapping on 2-Dimensional coarse-grained ...
In this paper we study the performance improvements and trade-offs derived from an optimized mapping...