@inbook {17734,
	title = {The MULTICUBE Design Flow},
	booktitle = {Multi-objective Design Space Exploration of Multiprocessor SoC Architectures},
	year = {2011},
	pages = {3-17},
	publisher = {Springer New York},
	organization = {Springer New York},
	isbn = {978-1-4419-8836-2},
	doi = {10.1007/978-1-4419-8837-9_1},
	url = {http://dx.doi.org/10.1007/978-1-4419-8837-9_1},
	author = {Silvano, Cristina and Fornaciari, William and Palermo, Gianluca and Zaccaria, Vittorio and Castro, Fabrizio and Martinez, Marcos and Bocchio, Sara and Zafalon, Roberto and Avasare, Prabhat and Vanmeerbeeck, Geert and Ykman-Couvreur, Chantal and Wouters, Maryse and Kavka, Carlos and Onesti, Luka and Turco, Alessandro and Bondi, Umberto and Mariani, Giovanni and Posadas, Hector and Villar, Eugenio and Wu, Chris and Dongrui, Fan and Hao, Zhang},
	editor = {Silvano, Cristina and Fornaciari, William and Villar, Eugenio}
}
@inbook {139.Sietal2.2011,
	title = {MULTICUBE: Multi-Objective Design Space Exploration of Multi-Core Architectures},
	booktitle = {VLSI 2010 Annual Symposium},
	volume = {105},
	year = {2011},
	pages = {47-63},
	publisher = {Springer},
	organization = {Springer},
	address = {Netherlands},
	abstract = {Given the increasing complexity of Chip Multi-Processors (CMPs), a wide range of architecture parameters must be explored at design time to find the best trade-off in terms of multiple competing objectives (such as energy, delay, bandwidth, area, etc.) The design space of the target architectures is huge because it should consider all possible combinations of each hardware parameter (e.g., number of processors, processor issue width, L1 and L2 cache sizes, etc.). In this complex scenario, intuition and past experience of design architects is no more a sufficient condition to converge to an optimal design of the system. Indeed, Automatic Design Space Exploration (DSE) is needed to systematically support the analysis and quantitative comparison of a large amount of design alternatives in terms of multiple competing objectives (by means of Pareto analysis). The main goal of the MULTICUBE project consists of the definition of an automatic Design Space Exploration framework to support the design of next generation many-core architectures.},
	isbn = {978-94-007-1487-8},
	url = {http://dx.doi.org/10.1007/978-94-007-1488-5_4},
	author = {Silvano, Cristina and Fornaciari, William and Palermo, Gianluca and Zaccaria, Vittorio and Castro, Fabrizio and Martinez, Marcos and Bocchio, Sara and Zafalon, Roberto and Avasare, Prabhat and Vanmeerbeeck, Geert and Ykman-Couvreur, Chantal and Wouters, Maryse and Kavka, Carlos and Onesti, Luka and Turco, Alessandro and Bondi, Umberto and Mariani, Giovanni and Posadas, Hector and Villar, Eugenio and Wu, Chris and Dongrui, Fan and Hao, Zhang and Shibin, Tang}
}
@conference {129.Sietal.ISVLSI11,
	title = {Multicube: Multi-objective design space exploration of multi-core architectures},
	booktitle = {ISVLSI 2010: IEEE Annual Symposium on VLSI},
	year = {2010},
	month = {July},
	pages = {488{\textendash}493},
	address = {Lixouri, Kefalonia - Greece},
	abstract = {Technology trends enable the integration of many processor cores in a System-on-Chip (SoC). In these complex architectures, several architectural parameters can be tuned to find the best trade-off in terms of multiple metrics such as energy and delay. The main goal of the MULTICUBE project consists of the definition of an automatic Design Space Exploration framework to support the design of next generation many-core architectures.},
	doi = {http://dx.doi.org/10.1109/ISVLSI.2010.67},
	author = {Silvano, Cristina and Fornaciari, William and Palermo, Gianluca and Zaccaria, Vittorio and Castro, Fabrizio and Martinez, Marcos and Bocchio, Sara and Zafalon, Roberto and Avasare, Prabhat and Vanmeerbeeck, Geert and Ykman-Couvreur, Chantal and Wouters, Maryse and Kavka, Carlos and Onesti, Luka and Turco, Alessandro and Bondi, Umberto and Mariani, Giovanni and Posadas, Hector and Villar, Eugenio and Wu, Chris and Dongrui, Fan and Hao, Zhang and Shibin, Tang}
}
@conference {97.Silvanoetal09,
	title = {MULTICUBE: Multi-Objective Design Space Exploration of Multiprocessor Architectures for Embedded Multimedia Applications},
	booktitle = {Proceedings of the DATE{\textquoteright}09 workshop on Designing for Embedded Parallel Computing Platforms: Architectures, Design Tools, and Applications},
	year = {2009},
	month = {April},
	address = {Nice, France},
	author = {Silvano, Cristina and Palermo, Gianluca and Zaccaria, Vittorio and Fornaciari, William and Zafalon, Roberto and Bocchio, Sara and Martinez, Marcos and Wouters, Maryse and Vanmeerbeeck, Geert and Avasare, Prabhat and Onesti, Luka and Kavka, Carlos and Bondi, Umberto and Mariani, Giovanni and Villar, Eugenio and Posadas, Hector and Wu, Chris and Dongrui, Fan and Hao, Zhang}
}
@conference {9.SaSaSciSiZaZa2003,
	title = {A Methodology for efficient architectural exploration of energy-delay trade-offs for embedded systems},
	booktitle = {SAC 2003},
	year = {2003},
	month = {March},
	pages = {672-678},
	address = {Melbourne},
	abstract = {The main goal of this paper is to identify the best architecture of an embedded system by considering at the same time energy and delay, avoiding the comprehensive analysis of the architectural design space. We adopt the Energy-Delay Product (EDP) as the evaluation metric to compare the alternative architectures of the target system. The paper analyzes an extended adaptive random search algorithm (ADGREED) to efficiently explore the architectural design space. The ADGREED algorithm is a pseudo-random optimization algorithm that combines the best potentialities of the adaptive random search (ADRAS) and the Greedy deterministic algorithm. The analysis has been carried out through the architectural optimization of the memory subsystem of a real-word embedded system executing the set of Mediabench benchmarks for multimedia applications. The reported experimental results have shown a reduction up to one order of magnitude of the number of design alternatives analyzed during the exploration phase, while maintaining very high accuracy.},
	keywords = {design space exploration, embedded systems},
	doi = {http://dx.doi.org/10.1145/952532.952664},
	author = {Salvemini, Lorenzo and Sami, Mariagiovanna and Sciuto, Donatella and Silvano, Cristina and Zaccaria, Vittorio and Zafalon, Roberto}
}
@conference {6.BoSaSciSiZaZa2002,
	title = {Energy Estimation and Optimization of Embedded VLIW Processors based on Instruction Clustering},
	booktitle = {39th Design Automation Conference},
	year = {2002},
	month = {June 10-14},
	pages = {886-891},
	address = {New Orleans},
	abstract = {Aim of this paper is to propose a methodology for the definition of an instruction-level energy estimation framework for VLIW (Very Long Instruction Word) processors. The power modeling methodology is the key issue to define an effective energy-aware software optimisation strategy for state-of-the-art ILP (Instruction Level Parallelism) processors. The methodology is based on an energy model for VLIW processors that exploits instruction clustering to achieve an efficient and fine grained energy estimation. The approach aims at reducing the complexity of the characterization problem for VLIW processors from exponential, with respect to the number of parallel operations in the same very long instruction, to quadratic, with respect to the number of instruction clusters. Furthermore, the paper proposes a spatial scheduling algorithm based on a low-power reordering of the parallel operations within the same long instruction. Experimental results have been carried out on the Lx processor, a 4-issue VLIW core jointly designed by HPLabs and STMicroelectronics. The results have shown an average error of 1:9\% between the cluster-based estimation model and the reference design, with a standard deviation of 5:8\%. For the Lx architecture, the spatial instruction scheduling algorithm provides an average energy saving of 12\%.},
	keywords = {power estimation, VLIW architectures},
	doi = {http://dx.doi.org/10.1109/DAC.2002.1012747},
	author = {Bona, Andrea and Sami, Mariagiovanna and Sciuto, Donatella and Silvano, Cristina and Zaccaria, Vittorio and Zafalon, Roberto}
}
@conference {4.BonaSaSciSiZaZa2002,
	title = {An Instruction-Level Methodology for Power Estimation and Optimization of Embedded VLIW cores},
	booktitle = {DATE 2002},
	year = {2002},
	month = {March 4-8},
	pages = {1128},
	address = {Paris},
	abstract = {The overall goal of this work is to define an instruction-level power macro-modeling and characterization methodology for VLIW embedded processor cores. The approach presented in this paper is a major extension of the work previously proposed in [1-3], targeting an instruction-level energy model to evaluate the energy consumption associated with a program execution on a pipelined VLIW core. Our first goal is the reduction of the complexity of the processor{\textquoteright}s energy model, without reducing the accuracy of the results. The second goal is to show how the energy model can be further simplified by introducing a methodology to automatically cluster the whole Instruction Set with respect to their average energy cost, in order to con verge to an highly effective design of experiments for the actual characterization task. The paper describes also the application of the proposed model to a real industrial VLIW core (the Lx Architecture developed by HP Labs and STMicroelectronics), to validate the effectiveness and accuracy of the proposed methodology.},
	doi = {http://dx.doi.org/10.1109/DATE.2002.998484},
	author = {Bona, Andrea and Sami, Mariagiovanna and Sciuto, Donatella and Silvano, Cristina and Zaccaria, Vittorio and Zafalon, Roberto}
}
