![]() This virtual version is more commonly referred to as a virtual platform. During the initial phasesof a product’s design, they enable the software and hardware team to share a virtual version ofthe (future) system. They involvethe modelling and simulation of the proposed hardware architectures. In order to ensure that the hardware and software designs will work together as early as possible, methodologies based onthe SystemC / Transaction Level Modeling (TLM) standard have been widely adopted. Unfortunately, the discovery of these errors occurs far too late in the design process,could impacts the marketing of the system and potentially its success. This step may reveal defects in the software but also in the hardware architecture. Oncethe first hardware prototype is available, the software team can then integrate their part and try tovalidate the functionality. Second, the application part can be done by software developers. Initially, the team in charge of hardware development beginsto design the system. In a current design process involvesthe development of a specification. This challenge is reinforced by market competition and time tomarket that directly impact the success of a system. The design of such systems is today a challenge from an industrial point of view. ![]() Connected objects are composed of dedicated electronic components, processors and software. It is predicted to continue to grow at a sustained pace in the coming years. The market for Internet Of Things (IOT) is on the rise. These experimental scenarios highlight how ADeLe may be used to reproduce and expand previous work in the literature, generating comprehensive, verifiable, and uniform energy-quality results. Next, we employ an approximation technique that affects memory and show how it explores an energy-quality trade-off in the execution of 9 applications from different computing domains. First, we show how ADeLe changes the behavior of specific instructions with 6 alternate designs for 2 functional units. We demonstrate both the language capabilities and its framework by representing two usage scenarios, in which we select approximation techniques from related literature and inject them into various applications. ADeLe was embedded in a generic and flexible verification framework that allows for easy evaluation of the energy-quality trade-off of designs in applications. ![]() Energy is automatically accounted for based on tailorable models that consider the potential instantaneous power savings offered by the approximations activated in the system. The software under test has full control of the simulation by allowing or avoiding that approximations happen at any given time in executions. ADeLe supports both stochastic and deterministic approximation models. Approximations in ADeLe are implemented as snippets of code that affect instructions in the target architecture by replacing or augmenting their functional behavior, according to user-defined policies. The ADeLe framework offers a reduced-effort design flow by modeling approximations at a high level of abstraction for automatic injection into a processor model for architectural simulation. This paper presents ADeLe, a modeling language designed to facilitate the description, configuration, and integration of approximate hardware units into processors. Integrating and evaluating approximate hardware designs within an architecture remains, however, a challenging problem. Approximations introduced at the hardware level, in particular, may be applicable in multiple scenarios and offer high power savings. ![]() Approximate computing techniques enable significant improvements in energy efficiency by producing potentially incorrect outputs for a small subset of inputs of a given application.
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