A systematic approach to exploring embedded system architectures at multiple abstraction levels

Pimentel, Andy D.; Erbas, Cagkan; Polstra, Simon

doi:10.1109/tc.2006.16

Cited by 303 publications

(195 citation statements)

References 40 publications

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“…High-level simulators are commonly used in the domain of embedded systems e.g. [21], [24], [27]. However, these type of simulators are rarely used in generalpurpose multi-or many-core systems.…”

Section: Related Workmentioning

confidence: 99%

High-level simulation of concurrency operations in microthreaded many-core architectures

Uddin¹

2015

GSTF J Comput

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Abstract-Computer architects are always interested in analyzing the complex interactions amongst the dynamically allocated resources. Generally a detailed simulator with a cycle-accurate simulation of the execution time is used. However, the cycleaccurate simulator can execute at the rate of 100K instructions per second, divided over the number of simulated cores. This means that the evaluation of a complex application with complex concurrency interactions on contemporary multi-core machine can be very slow. To perform efficient design space exploration we present a co-simulation environment, where the detailed execution of concurrency instructions in the pipeline of microthreaded cores and the interactions amongst the hardware components are abstracted. We present the evaluation of the high-level simulation framework against the cycle-accurate simulation framework. The results show that high-level simulator is faster and less complicated than cycle-accurate simulator and has reasonable accuracy.

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Section: Related Workmentioning

confidence: 99%

High-level simulation of concurrency operations in microthreaded many-core architectures

Uddin¹

2015

GSTF J Comput

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“…A fair number of promising system-level simulation-based exploration environments have been proposed in recent years, such as Metropolis [6], MESH [13], Milan [27], Sesame [14,31], and various SystemC-based environments like GRACE++ [24]. These environments typically facilitate efficient and flexible performance evaluation of embedded systems architectures.…”

Section: Introductionmentioning

confidence: 99%

Calibration of Abstract Performance Models for System-Level Design Space Exploration

Pimentel

Thompson

Polstra

et al. 2007

J Sign Process Syst Sign Image

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Abstract. 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 of the simulation models, which are two aspects that have not yet been widely addressed in the system-level community. This article presents a number of mechanisms for both calibrating isolated model components as well as a system-level performance model as a whole. We discuss these model calibration mechanisms in the context of our Sesame system-level simulation framework. Two illustrative case studies will also be presented to indicate the merits of model calibration.

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“…The Sesame modeling and simulation environment [5], illustrated in Figure 1, addresses the performance analysis of embedded multimedia system architectures. To this end, it recognizes separate application and architecture models, where an application model describes the functional behavior of an application and the architecture model defines architecture resources and captures their performance constraints.…”

Section: Sesamementioning

confidence: 99%

“…The mechanism used to dispatch application events from a virtual processor to an architecture model component guarantees deadlock-free scheduling of the application events from different event traces [5]. In this mechanism, EX(ecute) events are always immediately dispatched by a virtual processor to the architecture model component that models their timing consequences.…”

Section: Sesamementioning

confidence: 99%

“…In recent years, a fair number of system-level simulation-based exploration environments have been proposed, such as Metropolis [2], GRACE++ [3], Koski [4], and our own Sesame [5] framework. The Sesame modeling and simulation framework aims at efficient system-level design space exploration of embedded multimedia systems, allowing rapid performance evaluation of different architecture designs, application to architecture mappings, and hardware/software partitionings.…”

Section: Introductionmentioning

confidence: 99%

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Towards Multi-application Workload Modeling in Sesame for System-Level Design Space Exploration

Thompson

Pimentel

Lecture Notes in Computer Science

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Abstract. The Sesame modeling and simulation framework aims at early and thus efficient system-level design space exploration of embedded multimedia system architectures. So far, Sesame only supported performance evaluation when mapping a single application onto a (multi-processor) architecture at the time. But since modern multimedia embedded systems are increasingly multi-tasking, we need to address the modeling of effects of executing multiple applications concurrently in our system-level performance models. To this end, this paper conceptually describes two multi-application workload modeling techniques for the Sesame framework. One technique is based on the use of synthetic application workloads while the second technique deploys only real application workloads to model concurrent execution of applications. For illustrative purposes, we also present a preliminary case study in which a Motion-JPEG encoder application is executed concurrently with a small synthetic producer-consumer application.

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A systematic approach to exploring embedded system architectures at multiple abstraction levels

Cited by 303 publications

References 40 publications

High-level simulation of concurrency operations in microthreaded many-core architectures

High-level simulation of concurrency operations in microthreaded many-core architectures

Calibration of Abstract Performance Models for System-Level Design Space Exploration

Towards Multi-application Workload Modeling in Sesame for System-Level Design Space Exploration

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