Exploració per autor "Kosmidis, Leonidas"

Ara es mostren els items 1-20 de 80

    • A cache design for probabilistically analysable real-time systems 

      Kosmidis, Leonidas; Abella Ferrer, Jaume; Quiñones, Eduardo; Cazorla Almeida, Francisco Javier (2013)
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      Caches provide significant performance improvements, though their use in real-time industry is low because current WCET analysis tools require detailed knowledge of program's cache accesses to provide tight WCET estimates. ...

    • A confidence assessment of WCET estimates for software time randomized caches 

      Benedicte Illescas, Pedro; Kosmidis, Leonidas; Quiñones, Eduardo; Abella Ferrer, Jaume; Cazorla Almeida, Francisco Javier (Institute of Electrical and Electronics Engineers (IEEE), 2016)
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      Obtaining Worst-Case Execution Time (WCET) estimates is a required step in real-time embedded systems during software verification. Measurement-Based Probabilistic Timing Analysis (MBPTA) aims at obtaining WCET estimates ...

    • Acceleration of synthetic aperture radar for on-board space systems 

      Solé i Bonet, Marc; Rodríguez Ferrández, Iván; Steenari, David; Kosmidis, Leonidas (Institute of Electrical and Electronics Engineers (IEEE), 2023)
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      There is an increasing trend in modern space systems to move processing that until now was transmitted to ground for processing, on board the satellite. Synthetic Aperture Radar (SAR) is an example of such processing. ...

    • Achieving diverse redundancy for GPU Kernels 

      Alcaide Portet, Sergi; Kosmidis, Leonidas; Hernández Luz, Carles; Abella Ferrer, Jaume (Institute of Electrical and Electronics Engineers (IEEE), 2022-04)
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      Autonomous driving requires high-performance computing devices including general-purpose CPUs as well as specific accelerators, with GPUs having a key role due to their flexibility. Safety-critical microcontrollers have ...

    • Achieving timing composability with measurement-based probabilistic timing analysis 

      Kosmidis, Leonidas; Quiñones, Eduardo; Abella Ferrer, Jaume; Vardanega, Tulio; Cazorla Almeida, Francisco Javier (2013)
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      Probabilistic Timing Analysis (PTA) allows complex hardware acceleration features, which defeat classic timing analysis, to be used in hard real-time systems. PTA can do that because it drastically reduces intrinsic ...

    • An academic RISC-V silicon implementation based on open-source components 

      Abella Ferrer, Jaume; Bulla, Calvin; Cabo Pitarch, Guillem; Cazorla Almeida, Francisco Javier; Cristal Kestelman, Adrián; Doblas Font, Max; Figueras Bagué, Roger; González Trejo, Alberto; Hernández Luz, Carles; Hernández Calderón, César Alejandro; Jiménez Arador, Víctor; Kosmidis, Leonidas; Kostalampros, Ioannis-Vatistas; Langarita Benítez, Rubén; Leyva Santes, Neiel; López Paradís, Guillem; Marimon Illana, Joan; Martínez Martínez, Ricardo; Mendoza Escobar, Jonnatan; Moll Echeto, Francisco de Borja; Moretó Planas, Miquel; Pavón Rivera, Julián; Ramírez Lazo, Cristóbal; Ramírez Salinas, Marco Antonio; Rojas Morales, Carlos; Rubio Sola, Jose Antonio; Ruiz, Abraham Josafat; Sonmez, Nehir; Soria Pardos, Víctor; Teres Teres, Lluis; Unsal, Osman Sabri; Valero Cortés, Mateo; Vargas Valdivieso, Iván; Villa Vargas, Luis Alfonso (Institute of Electrical and Electronics Engineers (IEEE), 2020)
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      The design presented in this paper, called preDRAC, is a RISC-V general purpose processor capable of booting Linux jointly developed by BSC, CIC-IPN, IMB-CNM (CSIC), and UPC. The preDRAC processor is the first RISC-V ...

    • An on-board algorithm implementation on an embedded GPU: A space case study 

      Rodríguez Ferrandez, Iván; Kosmidis, Leonidas; Notebaert, Olivier; Cazorla Almeida, Francisco Javier; Steenari, David (Institute of Electrical and Electronics Engineers (IEEE), 2020)
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      On-board processing requirements of future space missions are constantly increasing, calling for new hardware than the traditional ones used in space. Embedded GPUs are an attractive candidate offering both high performance ...

    • An open benchmark implementation for multi-CPU multi-GPU pedestrian detection in automotive systems 

      Trompouki, Matina M.; Kosmidis, Leonidas; Navarro, Nacho (IEEE, 2017-12-14)
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      Modern and future automotive systems incorporate several Advanced Driving Assistance Systems (ADAS). Those systems require significant performance that cannot be provided with traditional automotive processors and programming ...

    • Applying measurement-based probabilistic timing analysis to buffer resources 

      Kosmidis, Leonidas; Vardanega, Tulio; Abella Ferrer, Jaume; Quiñones, Eduardo; Cazorla Almeida, Francisco Javier (2013)
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      The use of complex hardware makes it difficult for current timing analysis techniques to compute trustworthy and tight worst-case execution time (WCET) bounds. Those techniques require detailed knowledge of the internal ...

    • Assessing and improving the suitability of model-based design for GPU-accelerated railway control systems 

      Calderón Torres, Alejandro Josué; Kosmidis, Leonidas; Nicolás Ramírez, Carlos Fernando; Lasala, Javier de; Larrañaga, Ion (Springer Nature, 2021)
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      Model-Based Design (MBD) is widely used for the design and simulation of electric traction control systems in the railway industry. Moreover, similar to other transportation industries, railway is moving towards the ...

    • Assessing the Adherence of an Industrial Autonomous Driving Framework to ISO 26262 Software Guidelines 

      Tabani, Hamid; Kosmidis, Leonidas; Abella Ferrer, Jaume; Cazorla, Francisco J.; Bernat, Guillem (Association for Computing Machinery (ACM), 2019-06-06)
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      The complexity and size of Autonomous Driving (AD) software are comparably higher than that of software implementing other (standard) functionalities in the car. To make things worse, a big fraction of AD software is not ...

    • BRASIL: A high-integrity GPGPU toolchain for automotive systems 

      Trompouki, Matina Maria; Kosmidis, Leonidas (Institute of Electrical and Electronics Engineers (IEEE), 2019)
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      Embedded General Purpose Graphics Processing Units (GPGPUs) are increasingly used in automotive to enable Advanced Driving Assistance (ADAS) and Autonomous driving. However, their functional safety certification has been ...

    • Brook Auto: High-Level Certification-Friendly Programming for GPU-powered Automotive Systems 

      Trompouki, Matina M.; Kosmidis, Leonidas (Association for Computing Machinery (ACM), 2018)
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      Modern automotive systems require increased performance to implement Advanced Driving Assistance Systems (ADAS). GPU-powered platforms are promising candidates for such computational tasks, however current low-level ...

    • Brook GLES Pi: democratising accelerator programming 

      Trompouki, Matina Maria; Kosmidis, Leonidas (Association for Computing Machinery (ACM), 2018-08-10)
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      Nowadays computing is heavily-based on accelerators, however, the cost of the hardware equipment prevents equal access to heterogeneous programming. In this work we present Brook GLES Pi, a port of the accelerator programming ...

    • Bus designs for time-probabilistic multicore processors 

      Jalle Ibarra, Javier; Kosmidis, Leonidas; Abella Ferrer, Jaume; Quiñones, Eduardo; Cazorla Almeida, Francisco Javier (European Interactive Digital Advertising Alliance (EDAA), 2014)
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      Accés restringit per política de l'editorial
      Probabilistic Timing Analysis (PTA) reduces the amount of information needed to provide tight WCET estimates in real-time systems with respect to classic timing analysis. PTA imposes new requirements on hardware design ...

    • Case-study for integration of COTS SoC devices in reliable space systems for on-board processing 

      Rodríguez Ferrández, Iván; Steenari, David; Tali, Maris; Kosmidis, Leonidas; Tonicello, Ferdinando (Institute of Electrical and Electronics Engineers (IEEE), 2023)
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      Recent trends in Data Handling Systems (DHS) include increased data-rates, in-orbit reconfiguration and the introduction of advanced On-Board Processing (OBP) methods to extract actionable information on-board, with low ...

    • Comparison of GPU computing methodologies for safety-critical systems: an avionics case study 

      Benito Bermúdez, Marc; Trompouki, Matina Maria; Kosmidis, Leonidas; García Martín, David; Carretero Jiménez, Sergio; Wenger, Ken (IEEE, 2021)
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      Introducing advanced functionalities in safety-critical systems requires using more powerful architectures such as GPUs. However software in safety-critical industries is subject to functional certification, which cannot ...

    • Compiler support for an AI-oriented SIMD extension of a space processor 

      Solé i Bonet, Marc; Kosmidis, Leonidas (Association for Computing Machinery (ACM), 2022-06)
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      In this on going research paper, we present our work on the compiler support for an AI-oriented SIMD Extension, called SPARROW. The SPARROW hardware design has been developed during a recently defended, awardwinning Master ...

    • Containing timing-related certification cost in automotive systems deploying complex hardware 

      Kosmidis, Leonidas; Quiñones, Eduardo; Abella Ferrer, Jaume; Farrall, Glenn; Wartel, Franck; Cazorla Almeida, Francisco Javier (Association for Computing Machinery (ACM), 2014)
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      Measurement-Based Probabilistic Timing Analysis (MBPTA) techniques simplify deriving tight and trustworthy WCET estimates for industrial-size programs running on complex processors. MBPTA poses some requirements on the ...

    • Contention tracking in GPU last-level cache 

      Barrera Herrera, Javier Enrique; Kosmidis, Leonidas; Tabani, Hamid; Abella Ferrer, Jaume; Cazorla Almeida, Francisco Javier (Institute of Electrical and Electronics Engineers (IEEE), 2022)
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      The Last-level cache (LLC) is one of the main GPU’s shared resources that contributes to improve performance but also increases individual kernel’s performance variability. This is detrimental in scenarios in which some ...