5 Papers Accepted at Journals/Conferences

The following papers have been recently accepted at journals/conferences: – “Bringing Parallel Patterns out of the Corner: the P3ARSEC Benchmark Suite” Daniele De Sensi, Tiziano De Matteis, Massimo Torquati, Gabriele Mencagli, Marco Danelutto    ACM Transactions on Architecture and Code Optimization (TACO) – “Mammut: High-level management of system knobs and…

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Two papers presented at PDP 2017

Two papers have been presented at PDP 2017 in St. Petersburg: “Evaluating Concurrency Throttling and Thread Packing on SMT Multicores” by Marco Danelutto, Tiziano De Matteis, Daniele De Sensi and Massimo Torquati. Slides available at link “Elastic Scaling for Distributed Latency-sensitive Data Stream Operators” by Tiziano De Matteis and Gabriele Mencagli. Slides available at  link

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TACO paper on power-aware computing now published

Our paper “A Reconfiguration Algorithm for Power-Aware Parallel Applications” has been published in ACM Transactions on Architecture and Code Optimization (TACO). You can download a pre-print from here and the final version from here. We will present this work in January at HiPEAC17 conference. You can find here a short video introducing…

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4 papers accepted on journals and conferences

The following papers involving members of our research group have been accepted on peer-reviewed journals or conferences: Analysing Multiple QoS Attributes in Parallel Design Patterns-Based Applications by Antonio Brogi, Marco Danelutto, Daniele De Sensi, Ahmad Ibrahim, Jacopo Soldani  and Massimo Torquati has been accepted on International Journal of Parallel Programming http://dx.doi.org/10.1007/s10766-016-0476-8…

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REPARA project final review

The final review meeting of the  FP7 REPARA project took place in Bruxelles end of October. REPARA demonstrated that existing sequential standard C++ code may be refactored such that both execution time and power consumption may be reduced to one half, by applying the REPARA assisted, semi-automatic refactoring methodology. Our…

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Paper accepted at ACM TACO

The paper “A reconfiguration Algorithm for Power-Aware Parallel Applications” by Daniele De Sensi, Massimo Torquati and Marco Danelutto has been accepted for publication in the journal ACM Transactions on Architecture and Code Optimization (TACO). We were invited to present the work at HiPEAC 2017 Conference (Link: http://www.hipeac.net/2017/stockholm/).

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