Cagkan Erbas

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The sheer complexity of today’s embedded systems forces designers to start with modeling and simulating system components and their interactions in the very early design stages. It is therefore imperative to have good tools for exploring a wide range of design choices, especially during the early design stages, where the design space is at its largest. This(More)
Sesame is a software framework which aims at developing a modeling and simulation environment for the efficient design space exploration of heterogeneous embedded systems. Since Sesame recognizes separate application and architecture models within a single system simulation, it needs an explicit mapping step to relate these models for co-simulation. The(More)
High-level performance modeling and simulation have become a key ingredient of system-level design as they facilitate early architectural design space exploration. An important precondition for such highlevel modeling and simulation methods is that they should yield trustworthy performance estimations. This requires validation (if possible) and calibration(More)
In this paper, we present the Daedalus framework, which allows for traversing the path from sequential application specification to a working MP-SoC prototype in FPGA technology with the (parallelized) application mapped onto it in only a matter of hours. During this traversal, which offers a high degree of automation, guidance is provided by Daedalus'(More)
The high complexity of modern embedded systems impels designers of such systems to model and simulate system components and their interactions in the early design stages. It is therefore essential to develop good tools for exploring a wide range of design choices at these early stages, where the design space is very large. This paper provides an overview of(More)
In the Artemis project, design space exploration of embedded systems is provided by modeling application behavior and architectural performance constraints separately. Mapping an application model onto an architecture model is performed using trace-driven co-simulation, where event traces generated by an application model drive the underlying architecture(More)
High-level performance modeling and simulation has become a key ingredient of system-level design as they facilitate early architectural design space exploration. An important precondition for such high-level modeling and simulation methods is that they should yield trustworthy performance estimations. This requires validation (if possible) and calibration(More)
In the Sesame framework, we develop a modeling and simulation environment for the efficient design space exploration of heterogeneous embedded systems. Since Sesame recognizes separate application and architecture models within a single system simulation, it needs an explicit mapping step to relate these models for co-simulation. So far in Sesame, the(More)
The Sesame modeling and simulation framework aims at efficient system-level design space exploration of embedded multimedia systems. A primary objective of Sesame is the exploration at multiple levels of abstraction. As such, it targets gradual refinement of its (initially abstract) architecture performance models while maintaining architecture-independent(More)