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As computation costs increase to meet design requirements for computation-intensive graphics applications on today's embedded systems, the pressure to develop high-performance parallel processors on a chip will increase. Acceleration of the ray tracing computation has become a major issue as the computer graphics industry demands for rendering realistic images. Network-on-chip (NoC) techniques that interconnect multiple processing elements with routers are the solution for reducing computation time and power consumption by parallel processing on a chip. It is also essential to meet the scalability and complexity challenges for system-on-chip (SoC). In this article, we describe a parallel ray tracing application mapping on a mesh-based multicore NoC architecture. We describe an optimised ray tracing kernel and parallelisation strategies, varying the workload distribution statically and dynamically. In this work, we present results and timing performance of our parallel ray tracing application on a NoC, which are obtained through our cycle accurate multicore NoC simulator. Using a dynamic scheduling load balancing technique, we achieved a maximum speedup multiplier of 35.97 on an 8 × 8 networked processor array using a NoC as the interconnect. [ABSTRACT FROM AUTHOR]

As the number of integrated IP cores in the current System-on-Chips (SoCs) keeps increasing, communication requirements among cores can not be sufficiently satisfied using either traditional or multi-layer bus architectures because of their poor scalability and bandwidth limitation on a single bus. While new interconnection techniques have been explored to overcome such a limitation, the notion of utilizing Network-on-Chip (NoC) technologies for the future generation of high performance and low power chips for myriad of applications, in particular for wireless communication and multimedia processing, has been of great importance. In order for the NoC technologies to succeed, realistic specifications such as throughput, latency, moderate design complexity, programming model, and design tools are necessary requirements. For this purpose, we have covered some of the key and challenging design issues specific to the NoC architecture such as the router design, network interface (NI) issues, and complete system-level modeling. In this paper, we propose a multi-processor system platform adopting NoC techniques, called NePA (Network-based Processor Array). As a component of system platform, the fundamental NoC techniques including the router architecture and generic NI are defined and implemented adopting low power and clock efficient techniques. Using a high-level cycle-accurate simulation, various parameters relevant to its performance and its systematic modeling are extracted and analyzed. By combining various developed systematic models, we construct the tool chain to pursue hardware/software design tradeoffs necessary for better understanding of the NoC techniques. Finally utilizing implementation of parallel FFT algorithms on the homogeneous NePA, the feasibility and advantages of using NoC techniques are shown. [ABSTRACT FROM AUTHOR]