@article {18549,
	title = {The Case for Polymorphic Registers in Dataflow Computing},
	journal = {International Journal of Parallel Programming},
	volume = {54},
	issue = {5},
	year = {2018},
	month = {10/2018},
	pages = {54-62},
	chapter = {54},
	doi = {10.1007/s10766-017-0494-1},
	author = {Ciobanu, Catalin B. and Gaydadjiev, Georgi and Pilato, Christian and Sciuto, Donatella}
}
@conference {116.TuRePaFeSc10,
	title = {A Reconfigurable Multiprocessor Architecture for a Reliable Face Recognition Implementation},
	booktitle = {Proceedings of Design, Automation and Test in Europe (DATE) Conference},
	year = {2010},
	month = {March},
	address = {Dresden, Germany},
	abstract = {Face Recognition techniques are solutions used to quickly screen a huge number of persons without being intrusive in open environments or to substitute id cards in companies or research institutes. There are several reasons that require to systems implementing these techniques to be reliable. This paper presents the design of a reliable face recognition system implemented on Field Programmable Gate Array (FPGA). The proposed implementation uses the concepts of multiprocessor architecture, parallel software and dynamic reconfiguration to satisfy the requirement of a reliable system. The target multiprocessor architecture is extended to support the dynamic reconfiguration of the processing unit to provide reliability to processors fault. The experimental results show that, due to the multiprocessor architecture, the parallel face recognition algorithm can achieve a speed up of 63\% with respect to the sequential version. Results regarding the overhead in maintaining a reliable architecture are also shown},
	author = {Tumeo, Antonino and Regazzoni, Francesco and Palermo, Gianluca and Ferrandi, Fabrizio and Sciuto, Donatella}
}
@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}
}
