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32nd Euromicro International Conference on parallel, Distributed and Network-Based Processing (PDP)

作者： Besozzi, Valerio Univ Pisa Dept Comp Sci Pisa Italy

ISBN: (纸本)9798350363074;9798350363081

In this paper, we present parallelo parallel Library (PPL), a novel Rust library for structured parallel programming. Rust's fearless concurrency concept makes it a promising language for parallel application development. We present the development progress of parallelo parallel Library (PPL) and report preliminary performance results, comparing it to existing popular Rust libraries. Our results show that PPL provides robust support for parallel programming through high-level abstractions, delivering performance that matches or exceeds current state-of-the-art in the Rust ecosystem.

关键词： structured parallel programming parallel processing programming rust skeletal programming

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State access patterns in stream parallel computations

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INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS 2018年第6期32卷 807-818页

作者： Danelutto, Marco Kilpatrick, Peter Mencagli, Gabriele Torquati, Massimo Univ Pisa Dept Comp Sci Pisa Italy Queens Univ Belfast Dept Comp Sci Belfast Antrim North Ireland

We introduce a set of state access patterns suitable for managing accesses to states in parallel computations operating on streams. The state access patterns are useful for modelling typical stream parallel applications. We present a classification of the patterns according to the extent and way in which the state can be structured and accessed. We define precisely the state access patterns and discuss possible implementation schemas, performances and possibilities to manage adaptivity (parallelism degree) in the patterns. We present experimental results relative to implementations built on top of the structured parallel programming framework FastFlow that demonstrate the feasibility and efficiency of the proposed access patterns.

关键词： structured parallel programming parallel design patterns stateful computations

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A Power-Aware, Self-Adaptive Macro Data Flow Framework

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parallel PROCESSING LETTERS 2017年第1期27卷 1740004-1740004页

作者： Danelutto, Marco De Sensi, Daniele Torquati, Massimo Univ Pisa Dept Comp Sci Pisa Italy

The dataflow programming model has been extensively used as an effective solution to implement efficient parallel programming frameworks. However, the amount of resources allocated to the runtime support is usually fixed once by the programmer or the runtime, and kept static during the entire execution. While there are cases where such a static choice may be appropriate, other scenarios may require to dynamically change the parallelism degree during the application execution. In this paper we propose an algorithm for multicore shared memory platforms, that dynamically selects the optimal number of cores to be used as well as their clock frequency according to either the workload pressure or to explicit user requirements. We implement the algorithm for both structured and unstructured parallel applications and we validate our proposal over three real applications, showing that it is able to save a significant amount of power, while not impairing the performance and not requiring additional effort from the application programmer.

关键词： Power-aware computing self-adaptive computing dataflow structured parallel programming

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parallel visual data restoration on multi-GPGPUs using stencil-reduce pattern

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INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS 2015年第4期29卷 461-472页

作者： Aldinucci, Marco Pezzi, Guilherme Peretti Drocco, Maurizio Spampinato, Concetto Torquati, Massimo Univ Turin Dept Comp Sci I-10149 Turin Italy Univ Catania Dept Elect Elect & Comp Engn I-95124 Catania Italy Univ Pisa Dept Comp Sci I-56100 Pisa Italy

In this paper, a highly effective parallel filter for visual data restoration is presented. The filter is designed following a skeletal approach, using a newly proposed stencil-reduce, and has been implemented by way of the FastFlow parallel programming library. As a result of its high-level design, it is possible to run the filter seamlessly on a multicore machine, on multi-GPGPUs, or on both. The design and implementation of the filter are discussed, and an experimental evaluation is presented.

关键词： Impulsive noise Gaussian noise image restoration image filtering GPGPUs parallel patterns skeletons structured parallel programming iterative stencil stencil-reduce MapReduce

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Towards a systematic approach to the dynamic adaptation of structured parallel computations using model predictive control

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CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS 2014年第4期17卷 1443-1463页

作者： Mencagli, Gabriele Vanneschi, Marco Univ Pisa Dept Comp Sci I-56127 Pisa Italy

Adaptiveness is an essential feature for distributed parallel applications executed on dynamic environments like Grids and Clouds. Being adaptive means that parallel components can change their configuration at run-time (by modifying their parallelism degree or switching to a different parallel variant) to face irregular workload or to react to uncontrollable changes of the execution platform. A critical problem consists in the definition of adaptation strategies able to select optimal reconfigurations (minimizing operating costs and reconfiguration overhead) and achieve the stability of control decisions (avoiding unnecessary reconfigurations). This paper presents an approach to apply Model Predictive Control (a form of optimal control studied in Control Theory) to adaptive parallel computations expressed according to the structured parallel programming methodology. We show that predictive control is amenable to achieve stability and optimality by relying on the predictability of structured parallelism patterns and the possibility to express analytical cost models of their QoS metrics. The approach has been exemplified on two case-studies, providing a first assessment of its potential and feasibility.

关键词： Adaptiveness Model Predictive Control structured parallel programming Performance Modeling

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Targeting Distributed Systems in FastFlow

Targeting Distributed Systems in FastFlow

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18th International Conference on Euro-Par parallel Processing

作者： Aldinucci, Marco Campa, Sonia Danelutto, Marco Kilpatrick, Peter Torquati, Massimo Univ Turin Dept Comp Sci I-10124 Turin Italy Univ Pisa Dept Comp Sci I-56100 Pisa Italy Queens Univ Belfast Dept Comp Sci Belfast BT7 1NN Antrim North Ireland

ISBN: (纸本)9783642369490

FastFlow is a structured parallel programming framework targeting shared memory multi-core architectures. In this paper we introduce a FastFlow extension aimed at supporting also a network of multi-core workstations. The extension supports the execution of FastFlow programs by coordinating-in a structured way-the fine grain parallel activities running on a single workstation. We discuss the design and the implementation of this extension presenting preliminary experimental results validating it on state-of-the-art networked multi-core nodes.

关键词： structured parallel programming multi-core fine grain

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A “Minimal Disruption” Skeleton Experiment: Seamless Map & Reduce Embedding in OCaml

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Procedia Computer Science 2012年 9卷 1837-1846页

作者： M. Danelutto R. Di Cosmo Department Computer Science University of Pisa Largo B. Pontecorvo 3 56127 Pisa Italy Univ Paris Diderot Sorbonne Paris Cite PPS UMR 7126 CNRS INRIA Paris-Rocquencourt F-75205 Paris France

We discuss the implementation of a minimalist parallel library in OCaml. The library provides parallel map and fold (reduce) higher order functions and targets standard cache coherent shared memory multi-cores. Our *** and *** functions may be used to seamlessly replace OCaml List map and fold standard functions preserving their full functional semantics while achieving nearly optimal speedup on standard multi-core architectures. We discuss the design of the Parmap module, the main implementation features and we present some experimental results assessing the effciency of the Parmap parallel functions. Overall, Parmap represents a perfect incarnation of the “propagate the concept with minimal disruption” principle introduced in Cole's algorithmic skeleton manifesto .

关键词： structured parallel programming algorithmic skeletons map reduce

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Porting Decision Tree Algorithms to Multicore Using FastFlow

Porting Decision Tree Algorithms to Multicore Using FastFlow

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European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)

作者： Aldinucci, Marco Ruggieri, Salvatore Torquati, Massimo Univ Turin Dept Comp Sci I-10124 Turin Italy Univ Pisa Dept Comp Sci I-56100 Pisa Italy

ISBN: (纸本)9783642158797

The whole computer hardware industry embraced multicores. For these machines, the extreme optimisation of sequential algorithms is no longer sufficient to squeeze the real machine power, which can be only exploited via thread-level parallelism. Decision tree algorithms exhibit natural concurrency that makes them suitable to be parallelised. This paper presents an approach for easy-yet-efficient porting of an implementation of the C4.5 algorithm on multicores. The parallel porting requires minimal changes to the original sequential code, and it is able to exploit up to 7x speedup on an Intel dual-quad core machine.

关键词： parallel classification C4.5 multicores structured parallel programming streaming

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A parallel programming METHODOLOGY USING COMMUNICATION PATTERNS NAMED CPANS OR COMPOSITION OF parallel OBJECT

A PARALLEL PROGRAMMING METHODOLOGY USING COMMUNICATION PATTE...

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20th European Modeling and Simulation Symposium

作者： Rossainz-Lopez, M. Capel-Tunon, M. I. Univ Autonoma Puebla Ave San Claudio & 14 Sur Puebla 72000 State Of Puebla Mexico Univ Granada ETS Ingn Informat Dept Lenguajes & Sist Informat Granada 18071 Spain

ISBN: (纸本)9788890372407

Within an environment of parallel Objects, an approach of structured parallel programming and the paradigm of the Orientation to Objects, shows a programming method based on High Level parallel Compositions or HLPCs (CPANs in Spanish) by means of classes. The synchronous, asynchronous communication ways and asynchronous future of the pattern of parallel Objects (Rossainz and Capel 2005-2), the predefined patterns of communication/interaction of the structured approach, the encapsulation and the abstraction of the Orientation to Objects, to provide reusability to this patterns, together with a set of predefined restrictions of synchronization among processes (maxpar, mutex, sync) are used. The implementation of the commonly used communication patterns is explained, by means of the application of the method, which conform a library of susceptible classes of being used in applications within the environment of programming of the C++ and of the standard POSIX of programming with threads.

关键词： parallel Objects structured parallel programming High Performance Computing Object Oriented programming

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Dynamicity in distributed applications: issues, problems and the ASSIST approach

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parallel COMPUTING 2007年第12期33卷 822-845页

作者： Vanneschi, M. Veraldi, L. Univ Pisa Dept Comp Sci Pisa Italy

Dynamic reconfiguration refers to the ability of changing properties and structure of a distributed system, while it is running. It is essential when designing applications that need to adapt to unpredictable events, run on non-dedicated environments;for which configuration cannot be statically determined, or may change at runtime. Grid computing also gave new emphasis to the topic, being based on dynamic environments by definition. The first part of this work tries to give a definite organization to known literature and existing experiments, providing a general overview of the problem. Then we describe our approach to dynamicity in the context of the ASSIST programming environment and show how it is able to provide users with many of the required abstractions to develop adaptive, high-performance, distributed applications. (c) 2007 Elsevier B.V. All rights reserved.

关键词： reconfiguration adaptivity structured parallel programming grid

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