Browsing by Author "Marongiu, Andrea"
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- High-Performance and Time-Predictable Embedded ComputingPublication . Miguel Pinho, Luis; Quiñones, Eduardo; Bertogna, Marko; Marongiu, Andrea; Nélis, Vincent; Gai, Paolo; Sancho, JuanNowadays, the prevalence of computing systems in our lives is so ubiquitous that we live in a cyber-physical world dominated by computer systems, from pacemakers to cars and airplanes. These systems demand for more computational performance to process large amounts of data from multiple data sources with guaranteed processing times. Actuating outside of the required timing bounds may cause the failure of the system, being vital for systems like planes, cars, business monitoring, e-trading, etc. High-Performance and Time-Predictable Embedded Computing presents recent advances in software architecture and tools to support such complex systems, enabling the design of embedded computing devices which are able to deliver high-performance whilst guaranteeing the application required timing bounds. Technical topics discussed in the book include: Parallel embedded platforms Programming models Mapping and scheduling of parallel computations Timing and schedulability analysis Runtimes and operating systems The work reflected in this book was done in the scope of the European project P SOCRATES, funded under the FP7 framework program of the European Commission. High-performance and time-predictable embedded computing is ideal for personnel in computer/communication/embedded industries as well as academic staff and master/research students in computer science, embedded systems, cyber-physical systems and internet-of-things.
- High-performance parallelisation of real-time applicationsPublication . Pinho, Luís Miguel; Nelis, Vincent; Quinoñes, Eduardo; Burgio, Paolo; Marongiu, Andrea; Gai, Paolo; Sancho, JuanThis paper presents an overview of the P-SOCRATES methodology and tools, instantiated in the UpScale SDK (Software Development Kit) for the development of time-predictable high-performance applications. The proposed methodology was designed to provide an integrated SDK to fully exploit the huge performance opportunities brought by the most advanced many-core processors, whilst ensuring a predictable performance and maintaining (or even reducing) development costs of applications. The paper also provides the performance results of the application of the SDK in relevant embedded usecases.
- Manycore PlatformsPublication . Marongiu, Andrea; Nélis, Vincent; Meumeu Yomsi, PatrickThis chapter surveys state-of-the-art manycore platforms. It discusses the historical evolution of computing platforms over the past decades and the technical hurdles that led to the manycore revolution, then presents in details several manycore platforms, outlining (i) the key architectural traits that enable scalability to several tens or hundreds of processing cores and (ii) the shared resources that are responsible for unpredictable timing.
- P-SOCRATES: A parallel software framework for time-critical many-core systemsPublication . Pinho, Luís Miguel; Nélis, Vincent; Meumeu Yomsi, Patrick; Quiñones, Eduardo; Bertogna, Marko; Burgio, Paolo; Marongiu, Andrea; Scordino, Claudio; Gai, Paolo; Ramponi, Michele; Mardiak, Michal MCurrent generation of computing platforms is embracing multi-core and many-core processors to improve the overall performance of the system, meeting at the same time the stringent energy budgets requested by the market. Parallel programming languages are nowadays paramount to extracting the tremendous potential offered by these platforms: parallel computing is no longer a niche in the high performance computing (HPC) field, but an essential ingredient in all domains of computer science. The advent of next-generation many-core embedded platforms has the chance of intercepting a converging need for predictable high-performance coming from both the High-Performance Computing (HPC) and Embedded Computing (EC) domains. On one side, new kinds of HPC applications are being required by markets needing huge amounts of information to be processed within a bounded amount of time. On the other side, EC systems are increasingly concerned with providing higher performance in real-time, challenging the performance capabilities of current architectures. This converging demand raises the problem about how to guarantee timing requirements in presence of parallel execution. The paper presents how the time-criticality and parallelisation challenges are addressed by merging techniques coming from both HPC and EC domains, and provides an overview of the proposed framework to achieve these objectives
- A system model and stack for the parallelization of time-critical applications on many-core architecturesPublication . Nélis, Vincent; Yomsi, Patrick Meumeu; Pinho, Luís Miguel; Quiñones, Eduardo; Bertogna, Marko; Marongiu, Andrea; Gai, Paolo; Scordino, ClaudioMany embedded systems are subject to stringent timing requirementsthat compel them to "react" within prede_ned time bounds.The said "reaction" may be understood as simply outputting the resultsof a basic computation, but may also mean engaging in complex interactionswith the surrounding environment. Although these strict temporalrequirements advocate the use of simple and predictable hardwarearchitectures that allow for the computation of tight upper-bounds onthe software response time, meanwhile most of these embedded systemssteadily demand for more and more computational performance, whichweighs in favor of specialized, complex, and optimized multi-core andmany-core processors on which the execution of the application can beparallelized. However, it is not straightforward how event-based embeddedapplications can be structured in order to take advantage and fullyexploit the parallelization opportunities and achieve higher performanceand energy-e_fficient computing. The P-SOCRATES project envisions thenecessity to bring together next-generation many-core accelerators fromthe embedded computing domain with the programming models andtechniques from the high-performance computing domain, supportingthis with real-time methodologies to provide timing predictability. This paper gives an overview of the system model and software stackproposed in the P-SOCRATES project to facilitate the deployment andexecution of parallel applications on many-core infrastructures, whilepreserving the time-predictability of the execution required by real-timepractices to upper-bound the response time of the embedded application.