761 research outputs found
Fast Power and Energy Efficiency Analysis of FPGA-based Wireless Base-band Processing
Nowadays, demands for high performance keep on increasing in the wireless
communication domain. This leads to a consistent rise of the complexity and
designing such systems has become a challenging task. In this context, energy
efficiency is considered as a key topic, especially for embedded systems in
which design space is often very constrained. In this paper, a fast and
accurate power estimation approach for FPGA-based hardware systems is applied
to a typical wireless communication system. It aims at providing power
estimates of complete systems prior to their implementations. This is made
possible by using a dedicated library of high-level models that are
representative of hardware IPs. Based on high-level simulations, design space
exploration is made a lot faster and easier. The definition of a scenario and
the monitoring of IP's time-activities facilitate the comparison of several
domain-specific systems. The proposed approach and its benefits are
demonstrated through a typical use case in the wireless communication domain.Comment: Presented at HIP3ES, 201
Optimized Temporal Monitors for SystemC
SystemC is a modeling language built as an extension of C++. Its growing popularity and the increasing complexity of designs have motivated research efforts aimed at the verification of SystemC models using assertion-based verification (ABV), where the designer asserts properties that capture the design intent in a formal language such as PSL or SVA. The model then can be verified against the properties using runtime or formal verification techniques. In this paper we focus on automated generation of runtime monitors from temporal properties. Our focus is on minimizing runtime overhead, rather than monitor size or monitor-generation time. We identify four issues in monitor generation: state minimization, alphabet representation, alphabet minimization, and monitor encoding. We conduct extensive experimentation and identify a combination of settings that offers the best performance in terms of runtime overhead
Mastering Heterogeneous Behavioural Models
Heterogeneity is one important feature of complex systems, leading to the
complexity of their construction and analysis. Moving the heterogeneity at
model level helps in mastering the difficulty of composing heterogeneous models
which constitute a large system. We propose a method made of an algebra and
structure morphisms to deal with the interaction of behavioural models,
provided that they are compatible. We prove that heterogeneous models can
interact in a safe way, and therefore complex heterogeneous systems can be
built and analysed incrementally. The Uppaal tool is targeted for
experimentations.Comment: 16 pages, a short version to appear in MEDI'201
Dynamic Verification of SystemC with Statistical Model Checking
Many embedded and real-time systems have a inherent probabilistic behaviour
(sensors data, unreliable hardware,...). In that context, it is crucial to
evaluate system properties such as "the probability that a particular hardware
fails". Such properties can be evaluated by using probabilistic model checking.
However, this technique fails on models representing realistic embedded and
real-time systems because of the state space explosion. To overcome this
problem, we propose a verification framework based on Statistical Model
Checking. Our framework is able to evaluate probabilistic and temporal
properties on large systems modelled in SystemC, a standard system-level
modelling language. It is fully implemented as an extension of the Plasma-lab
statistical model checker. We illustrate our approach on a multi-lift system
case study
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