Abstract: In this paper, a temporal partitioning algorithm is presented which partitions data flow graphs in a real-time domain. Timing constraint is a critical factor in temporal partitioning of real-time reconfigurable design. An incremental algorithm is presented to partition data flow graphs while meeting the timing constraints by obtaining the target number of partitions. In addition, the proposed algorithm attempts to minimize the logic resources used for implementing the real-time application. In this algorithm, selecting the appropriate nodes and moving them between subsequent partitions results in more area balanced partitions and less number of partitions
A real-time infrastructure, called MLRTI, is proposed in this paper to fulfill the requirement of re...
The time-evolving large graph has received attention due to it's participation in real-world applica...
We consider the problem of scheduling the operations of a data flow graph in a reconfigurable comput...
In reconfigurable systems, reconfiguration latency has a significant impact on the system performanc...
This paper presents a novel algorithm for temporal partitioning of graphs representing a behavioral ...
In reconfigurable computing systems, full reconfigurable FPGA are evolving rapidly, due to their fle...
[[abstract]]In this paper, we propose the idea of temporal logic replication in dynamically reconfig...
[[abstract]]In this paper, we propose the idea of temporal logic replication in dynamically reconfig...
Les travaux de recherche présentés se situent dans le contexte des méthodologies d’aide à l’implémen...
Our objective is to facilitate the development of complex time-triggered systems by automating the a...
We develop a 0-1 non-linear programming (NLP) model for combined temporal partitioning and highlevel...
This paper presents a partitioning-based, timing-driven placement algorithm. The partitioning step i...
Reconfigurable computing systems show great promise for accelerating streaming HPC applications beca...
The recent introduction of partially-reconfigurable-field-programmable gate arrays (PRFPGAs) has led...
Abstract—A fundamental feature of Dynamically Reconfigurable FPGAs (DRFPGAs) is that the logic and i...
A real-time infrastructure, called MLRTI, is proposed in this paper to fulfill the requirement of re...
The time-evolving large graph has received attention due to it's participation in real-world applica...
We consider the problem of scheduling the operations of a data flow graph in a reconfigurable comput...
In reconfigurable systems, reconfiguration latency has a significant impact on the system performanc...
This paper presents a novel algorithm for temporal partitioning of graphs representing a behavioral ...
In reconfigurable computing systems, full reconfigurable FPGA are evolving rapidly, due to their fle...
[[abstract]]In this paper, we propose the idea of temporal logic replication in dynamically reconfig...
[[abstract]]In this paper, we propose the idea of temporal logic replication in dynamically reconfig...
Les travaux de recherche présentés se situent dans le contexte des méthodologies d’aide à l’implémen...
Our objective is to facilitate the development of complex time-triggered systems by automating the a...
We develop a 0-1 non-linear programming (NLP) model for combined temporal partitioning and highlevel...
This paper presents a partitioning-based, timing-driven placement algorithm. The partitioning step i...
Reconfigurable computing systems show great promise for accelerating streaming HPC applications beca...
The recent introduction of partially-reconfigurable-field-programmable gate arrays (PRFPGAs) has led...
Abstract—A fundamental feature of Dynamically Reconfigurable FPGAs (DRFPGAs) is that the logic and i...
A real-time infrastructure, called MLRTI, is proposed in this paper to fulfill the requirement of re...
The time-evolving large graph has received attention due to it's participation in real-world applica...
We consider the problem of scheduling the operations of a data flow graph in a reconfigurable comput...