A Trimaran based framework for exploring the design space of VLIW ASIPs with coarse grain functional units

Middha, Bhuvan; Gangwar, Anup; Kumar, Anshul; Balakrishnan, M.; Ienne, Paolo

doi:10.1145/581202.581203

Cited by 3 publications

(2 citation statements)

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“…The exploration aims to identify optimal placement (in terms of area and performance) of the 30 different functional units in the 5 issue slots available. The possibility of introducing application-specific functional units is analyzed in Middha et al [2002]. The authors show that the use of an application-specific instruction set processor (ASIP) in embedded systems allows much more flexible solutions than implementations based on ASIC and much more efficient than implementations based on standard processors in terms of both performance and power consumption.…”

Section: Related Workmentioning

confidence: 99%

Reducing complexity of multiobjective design space exploration in VLIW-based embedded systems

Catania

Palesi

Patti

2008

ACM Trans. Archit. Code Optim.

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Architectures based on very-long instruction word (VLIW) have found fertile ground in multimedia electronic appliances thanks to their ability to exploit high degrees of instruction level parallelism (ILP) with a reasonable trade-off in complexity and silicon cost. Specialization of such architectures involves the configuration of both hardware-related aspects (e.g., register files, functional units, memory subsystem) and software-related issues (e.g., the compilation strategy). The complex interactions between the components of such systems will force a human designer to rely on judgment and experience in designing them, possibly eliminating interesting configurations, and making tuning of the system, for either power, energy, or performance, difficult. In this paper we propose tools and methodologies to efficiently cope with this complexity from a multiobjective perspective. We first analyze the impact of ILP-oriented code transformations using two alternative compilation profiles to quantitatively show the effect of such transformations on typical design objectives like performance, power dissipation, and energy consumption. Next, by means of statistical analysis, we collect useful data to predict the effectiveness of a given compilation profiles for a specific application. Information gathered from such analysis can be exploited to drastically reduce the computational effort needed to perform the design space exploration. ACM Reference Format:Catania, V., Palesi, M., and Patti, D. 2008. Reducing complexity of multiobjective design space exploration in VLIW-based embedded systems. ACM Trans.

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Section: Related Workmentioning

confidence: 99%

Reducing complexity of multiobjective design space exploration in VLIW-based embedded systems

Catania

Palesi

Patti

2008

ACM Trans. Archit. Code Optim.

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“…In the future, MILAN may make use of similar techniques, but currently parameter optimization is not a goal of MILAN. Other techniques focus on topics ranging from hardware and software partitioning in embedded systems [Azzedine et al 2002] to utilizing simulation environments for design space exploration [Middha 2002] of VLIW processors. The MILAN design space exploration focus is on supporting the user in modeling a large set of possible design alternatives and to then apply user-supplied constraints to ensure these constraints are met.…”

Section: Related Workmentioning

confidence: 99%

Modeling methodology for integrated simulation of embedded systems

Lédeczi

Davis

Neema

et al. 2003

ACM Trans. Model. Comput. Simul.

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Developing a single embedded application involves a multitude of different development tools including several different simulators. Most tools use different abstractions, have their own formalisms to represent the system under development, utilize different input and output data formats, and have their own semantics. A unified environment that allows capturing the system in one place and one that drives all necessary simulators and analysis tools from this shared representation needs a common representation technology that must support several different abstractions and formalisms seamlessly. Describing the individual formalisms by metamodels and carefully composing them is the underlying technology behind MILAN, a Model-based Integrated Simulation Framework. MILAN is an extensible framework that supports multigranular simulation of embedded systems by seamlessly integrating existing simulators into a unified environment. Formal metamodels and explicit constraints define the domain-specific modeling language developed for MILAN that combines hierarchical, heterogeneous, parametric dataflow representation with strong data typing. Multiple modeling aspects separate orthogonal concepts. The language also allows the representation of the design space of the application, not just a point solution. Nonfunctional requirements are captured as formal, application-specific constraints. MILAN has integrated tool support for design-space exploration and pruning. The models are used to automatically configure the integrated functional simulators, high-level performance and power estimators, cycle-accurate performance simulators, and power-aware simulators. Simulation results are used to automatically update the system models. The article focuses on the modeling methodology and briefly describes how the integrated models are utilized in the framework.

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