• Article  

      Integrating Transactions into the Data-Driven Multi-threading Model Using the TFlux Platform 

      Diavastos, Andreas; Trancoso, Pedro; Luján, M.; Watson, I. (2016)
      The introduction of multi-core processors has renewed the interest in programming models which can efficiently exploit general purpose parallelism. Data-Flow is one such model which has demonstrated significant potential ...
    • Conference Object  

      Integrating transactions into the data-driven multi-threading model using the tflux platform 

      Diavastos, Andreas; Trancoso, Pedro; Luján, M.; Watson, I. (2012)
      Multi-core processors have renewed interest in programming models which can efficiently exploit general purpose parallelism. Data-Flow is one such model which has demonstrated significant potential in the past. However, ...
    • Conference Object  

      The TERAFLUX project: Exploiting the dataflow paradigm in next generation teradevices 

      Solinas, M.; Badia, R. M.; Bodin, F.; Cohen, A.; Evripidou, Paraskevas; Faraboschi, P.; Fechner, B.; Gao, G. R.; Garbade, A.; Girbal, S.; Goodman, D.; Khan, B.; Koliai, S.; Li, F.; Luján, M.; Morin, L.; Mendelson, A.; Navarro, N.; Pop, A.; Trancoso, Pedro; Ungerer, T.; Valero, M.; Weis, S.; Watson, I.; Zuckermann, S.; Giorgi, Roberto (2013)
      Thanks to the improvements in semiconductor technologies, extreme-scale systems such as teradevices (i.e., composed by 1000 billion of transistors) will enable systems with 1000+ general purpose cores per chip, probably ...
    • Article  

      TERAFLUX: Harnessing dataflow in next generation teradevices 

      Giorgi, Roberto; Badia, R. M.; Bodin, F.; Cohen, A.; Evripidou, Paraskevas; Faraboschi, P.; Fechner, B.; Gao, G. R.; Garbade, A.; Gayatri, R.; Girbal, S.; Goodman, D.; Khan, B.; Koliaï, S.; Landwehr, J.; Lê, N. M.; Li, F.; Lujàn, M.; Mendelson, A.; Morin, L.; Navarro, N.; Patejko, T.; Pop, A.; Trancoso, Pedro; Ungerer, T.; Watson, I.; Weis, S.; Zuckerman, S.; Valero, M. (2014)
      The improvements in semiconductor technologies are gradually enabling extreme-scale systems such as teradevices (i.e., chips composed by 1000 billion of transistors), most likely by 2020. Three major challenges have been ...