In recent years, computational requirements for embedded applications are increasing exponentially. This complexity, coupled with constantly evolving specifications, has forced designers to consider intrinsically flexible implementations. For this reason, heterogeneous multiprocessor architectural platforms are gaining prevalence for embedded systems. Deploying applications typical of multimedia domains is difficult, not only due to the heterogeneous parallelism in the platforms, but also due to the performance constraints that typify these systems. In this paradigm, the digital system-on-a-chip (SoC) platform-based design environment for shared memory multiple instructions multiple data (MIMD) architectures (Disydent) is used. The applicability of the Disydent design flow to systems in the multimedia domain is illustrated. The case studied consists in deploying a Motion JPEG decoder application onto a configurable prototype of a multiprocessor MIPS platform architecture.
In this paper, the DIgital SYstem-on-a-chip (SoC) platform-based Design ENvironmenT for shared memory multiple instructions multiple data (MIMD) architectures (DISYDENT) is used. The applicability of the Disydent design flow to systems in the multimedia domain is illustrated. Two case studies typical of multimedia domains will be considered in which the Disydent design-space exploration method is used. The first consists in deploying a medium complexity motion JPEG decoder application onto the ASIM0 multiprocessor MIPS R3000 target platform. In this first study, both modelling and mapping stages of the Disydent design flow are explored for an optimal implementation verifying constraints. The second case study implements a very complex H.264/AVC reference encoder using the same flow. This will demonstrate the limits of the Disydent design flow for the very complex systems and shows the need for a higher level of abstraction than cycle accurate simulations.I.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.