Flexible Spare Core Placement in Torus Topology based NoCs and its validation on an FPGA

In the nano-scale era, Network-on-Chip (NoC) interconnection paradigm has gained importance to abide by the communication challenges in Chip Multi-Processors (CMPs). With increased integration density on CMPs, NoC components namely cores, routers, and links are susceptible to failures. Therefore, to improve system reliability, there is a need for efficient fault-tolerant techniques that mitigate permanent faults in NoC based CMPs. There exists several fault-tolerant techniques that address the permanent faults in application cores while placing the spare cores onto NoC topologies. However, these techniques are limited to Mesh topology based NoCs. There are few approaches that have realized the fault-tolerant solutions on an FPGA, but the study on architectural aspects of NoC is limited. This paper presents the flexible placement of spare core onto Torus topology-based NoC design by considering core faults and validating it on an FPGA. In the first phase, a mathematical formulation based on Integer Linear Programming (ILP) and meta-heuristic based Particle Swarm Optimization (PSO) have been proposed for the placement of spare core. In the second phase, we have implemented NoC router addressing scheme, routing algorithm, run-time fault injection model, and fault-tolerant placement of spare core onto Torus topology using an FPGA. Experiments have been done by taking different multimedia and synthetic application benchmarks. This has been done in both static and dynamic simulation environments followed by hardware implementation. In the static simulation environment, the experimentations are carried out by scaling the network size and router faults in the network. The results obtained from our approach outperform the methods such as Fault-tolerant Spare Core Mapping (FSCM), Simulated Annealing (SA), and Genetic Algorithm (GA) proposed in the literature. For the experiments carried out by scaling the network size, our proposed methodology shows an average improvement of 18.83%, 4.55%, 12.12% in communication cost over the approaches FSCM, SA, and GA, respectively. For the experiments carried out by scaling the router faults in the network, our approach shows an improvement of 34.27%, 26.26%, and 30.41% over the approaches FSCM, SA, and GA, respectively. For the dynamic simulations, our approach shows an average improvement of 5.67%, 0.44%, and 3.69%, over the approaches FSCM, SA, and GA, respectively. In the hardware implementation, our approach shows an average improvement of 5.38%, 7.45%, 27.10% in terms of application runtime over the approaches SA, GA, and FSCM, respectively. This shows the superiority of the proposed approach over the approaches presented in the literature.publishedVersio

Fault-Tolerant Application-Specific Topology based NoC and its Prototype on an FPGA

Application-Specific Networks-on-Chips (ASNoCs) are suitable communication platforms for meeting current application requirements. Interconnection links are the primary components involved in communication between the cores of an ASNoC design. The integration density in ASNoC increases with continuous scaling down of the transistor size. Excessive integration density in ASNoC can result in the formation of thermal hotspots, which can cause a system to fail permanently. As a result, fault-tolerant techniques are required to address the permanent faults in interconnection links of an ASNoC design. By taking into account link faults in the topology, this paper introduces a fault-tolerant application-specific topology-based NoC design and its prototype on an FPGA. To place spare links in the ASNoC topology, a meta-heuristic algorithm based on Particle Swarm Optimization (PSO) is proposed. By taking link faults into account in ASNoC design, we also propose an application mapping heuristic and a table-based fault-tolerant routing algorithm. Experiments are carried out for a specific link and any link fault in fault-tolerant topologies generated by our approach and approaches reported in the literature. For the experimentation, we used the multi-media applications Picture-in-Picture (PiP), Moving Pictures Expert Group (MPEG) - 4, MP3Encoder, and Video Object Plane Decoder (VOPD). Experiments are run on software and hardware platforms. The static performance metric communication cost and the dynamic performance metrics network latency, throughput, and router power consumption are examined using software platform. In the hardware platform, the Field Programmable Gate Array (FPGA) is used to validate proposed fault-tolerant topologies and analyze performance metrics such as application runtime, resource utilization, and power consumption. The results are compared with the existing approaches, specifically Ring topology and its modified versions on both software and hardware platforms. The experimental results obtained from software and hardware platforms for a specific link and any link fault show significant improvements in performance metrics using our approach when compared with the related works in the literature.publishedVersio

Torus Topology based Fault-Tolerant Network-on-Chip Design with Flexible Spare Core Placement

submittedVersionNivå

Fault-Tolerant Network-on-Chip Design for Mesh-of-Tree Topology Using Particle Swarm Optimization

submittedVersionNivå

A Novel Fault-Tolerant Routing Technique for Mesh-of-Tree based Network-on-Chip Design

submittedVersionNivå

Fault-Tolerant Network-on-Chip Design for Mesh-of-Tree Topology Using Particle Swarm Optimization

submittedVersionNivå

Flexible Spare Core Placement in Torus Topology based NoCs and its validation on an FPGA

In the nano-scale era, Network-on-Chip (NoC) interconnection paradigm has gained importance to abide by the communication challenges in Chip Multi-Processors (CMPs). With increased integration density on CMPs, NoC components namely cores, routers, and links are susceptible to failures. Therefore, to improve system reliability, there is a need for efficient fault-tolerant techniques that mitigate permanent faults in NoC based CMPs. There exists several fault-tolerant techniques that address the permanent faults in application cores while placing the spare cores onto NoC topologies. However, these techniques are limited to Mesh topology based NoCs. There are few approaches that have realized the fault-tolerant solutions on an FPGA, but the study on architectural aspects of NoC is limited. This paper presents the flexible placement of spare core onto Torus topology-based NoC design by considering core faults and validating it on an FPGA. In the first phase, a mathematical formulation based on Integer Linear Programming (ILP) and meta-heuristic based Particle Swarm Optimization (PSO) have been proposed for the placement of spare core. In the second phase, we have implemented NoC router addressing scheme, routing algorithm, run-time fault injection model, and fault-tolerant placement of spare core onto Torus topology using an FPGA. Experiments have been done by taking different multimedia and synthetic application benchmarks. This has been done in both static and dynamic simulation environments followed by hardware implementation. In the static simulation environment, the experimentations are carried out by scaling the network size and router faults in the network. The results obtained from our approach outperform the methods such as Fault-tolerant Spare Core Mapping (FSCM), Simulated Annealing (SA), and Genetic Algorithm (GA) proposed in the literature. For the experiments carried out by scaling the network size, our proposed methodology shows an average improvement of 18.83%, 4.55%, 12.12% in communication cost over the approaches FSCM, SA, and GA, respectively. For the experiments carried out by scaling the router faults in the network, our approach shows an improvement of 34.27%, 26.26%, and 30.41% over the approaches FSCM, SA, and GA, respectively. For the dynamic simulations, our approach shows an average improvement of 5.67%, 0.44%, and 3.69%, over the approaches FSCM, SA, and GA, respectively. In the hardware implementation, our approach shows an average improvement of 5.38%, 7.45%, 27.10% in terms of application runtime over the approaches SA, GA, and FSCM, respectively. This shows the superiority of the proposed approach over the approaches presented in the literature

Torus Topology based Fault-Tolerant Network-on-Chip Design with Flexible Spare Core Placement

submittedVersionNivå

A Novel Fault-Tolerant Routing Technique for Mesh-of-Tree based Network-on-Chip Design

submittedVersionNivå

Fault-Tolerant Application-Specific Topology based NoC and its Prototype on an FPGA

Application-Specific Networks-on-Chips (ASNoCs) are suitable communication platforms for meeting current application requirements. Interconnection links are the primary components involved in communication between the cores of an ASNoC design. The integration density in ASNoC increases with continuous scaling down of the transistor size. Excessive integration density in ASNoC can result in the formation of thermal hotspots, which can cause a system to fail permanently. As a result, fault-tolerant techniques are required to address the permanent faults in interconnection links of an ASNoC design. By taking into account link faults in the topology, this paper introduces a fault-tolerant application-specific topology-based NoC design and its prototype on an FPGA. To place spare links in the ASNoC topology, a meta-heuristic algorithm based on Particle Swarm Optimization (PSO) is proposed. By taking link faults into account in ASNoC design, we also propose an application mapping heuristic and a table-based fault-tolerant routing algorithm. Experiments are carried out for a specific link and any link fault in fault-tolerant topologies generated by our approach and approaches reported in the literature. For the experimentation, we used the multi-media applications Picture-in-Picture (PiP), Moving Pictures Expert Group (MPEG) - 4, MP3Encoder, and Video Object Plane Decoder (VOPD). Experiments are run on software and hardware platforms. The static performance metric communication cost and the dynamic performance metrics network latency, throughput, and router power consumption are examined using software platform. In the hardware platform, the Field Programmable Gate Array (FPGA) is used to validate proposed fault-tolerant topologies and analyze performance metrics such as application runtime, resource utilization, and power consumption. The results are compared with the existing approaches, specifically Ring topology and its modified versions on both software and hardware platforms. The experimental results obtained from software and hardware platforms for a specific link and any link fault show significant improvements in performance metrics using our approach when compared with the related works in the literature