OcamlP3L still running after more than 30 years
Software of more than 30 years ago still working! The OcamlP3L library, we contributed to develop in the ’90 is still working on modern multicore machines. See paper accepted on Rescience
Category Archives: News
Two new papers (Springer, IJPP) April, 2020
Two new papers have been accepted at International Journal of Parallel Computing (Springer, IJPP): 1-Improving the performance of Actors on Multi-Cores with Parallel Patterns 2-Algorithmic Skeletons & Parallel Design Patterns in Mainstream Parallel Programming
New paper published at CCPE, March 2020
New journal paper accepted (Concurrency and Computation: Practice and Experience) Latency-aware Adaptive Micro-Batching Techniques for Streamed Data Compression on GPUs
Paragroup at Bright 2017
Paragroup partecipates to Bright 2017 event (Pisa, Banchi, Sept. 28, 2017) showing how Nornir/FastFlow may be used to investigate power/performance tradeoff with PARSEC benchmarks on a state-of-the-art multicores.
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…
FGCS Special Issue on Data Streaming and Fog Computing
Open-call to the FGCS journal Special Issue on “New Landscapes of the Data Stream Processing in the era of Fog Computing“. Link to the CFP here.
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
Paper published on Parallel Processing Letters
Our paper “A Power-Aware, Self-Adaptive Macro Data Flow Framework” by Marco Danelutto, Daniele De Sensi and Massimo Torquati has been published on Parallel Processing Letters. You can find the preprint version here and the full version here.
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…
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…