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Documents authored by Marko, Bertogna

Found 2 Possible Name Variants:

Bertogna, Marko

Document
Complete Volume
DOI: 10.4230/OASIcs.NG-RES.2022
OASIcs, Volume 98, NG-RES 2022, Complete Volume

Authors: Marko Bertogna, Federico Terraneo, and Federico Reghenzani

Published in: OASIcs, Volume 98, Third Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2022)

Abstract
OASIcs, Volume 98, NG-RES 2022, Complete Volume
Cite as

Third Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2022). Open Access Series in Informatics (OASIcs), Volume 98, pp. 1-58, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

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@Proceedings{bertogna_et_al:OASIcs.NG-RES.2022,
  title =	{{OASIcs, Volume 98, NG-RES 2022, Complete Volume}},
  booktitle =	{Third Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2022)},
  pages =	{1--58},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-221-1},
  ISSN =	{2190-6807},
  year =	{2022},
  volume =	{98},
  editor =	{Bertogna, Marko and Terraneo, Federico and Reghenzani, Federico},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.NG-RES.2022},
  URN =		{urn:nbn:de:0030-drops-161070},
  doi =		{10.4230/OASIcs.NG-RES.2022},
  annote =	{Keywords: OASIcs, Volume 98, NG-RES 2022, Complete Volume}
}
Document
Front Matter
DOI: 10.4230/OASIcs.NG-RES.2022.0
Front Matter, Table of Contents, Preface, Conference Organization

Authors: Marko Bertogna, Federico Terraneo, and Federico Reghenzani

Published in: OASIcs, Volume 98, Third Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2022)

Abstract
Front Matter, Table of Contents, Preface, Conference Organization
Cite as

Third Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2022). Open Access Series in Informatics (OASIcs), Volume 98, pp. 0:i-0:x, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

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@InProceedings{bertogna_et_al:OASIcs.NG-RES.2022.0,
  author =	{Bertogna, Marko and Terraneo, Federico and Reghenzani, Federico},
  title =	{{Front Matter, Table of Contents, Preface, Conference Organization}},
  booktitle =	{Third Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2022)},
  pages =	{0:i--0:x},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-221-1},
  ISSN =	{2190-6807},
  year =	{2022},
  volume =	{98},
  editor =	{Bertogna, Marko and Terraneo, Federico and Reghenzani, Federico},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.NG-RES.2022.0},
  URN =		{urn:nbn:de:0030-drops-161082},
  doi =		{10.4230/OASIcs.NG-RES.2022.0},
  annote =	{Keywords: Front Matter, Table of Contents, Preface, Conference Organization}
}
Document
Complete Volume
DOI: 10.4230/OASIcs.NG-RES.2021
OASIcs, Volume 87, NG-RES 2021, Complete Volume

Authors: Marko Bertogna and Federico Terraneo

Published in: OASIcs, Volume 87, Second Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2021)

Abstract
OASIcs, Volume 87, NG-RES 2021, Complete Volume
Cite as

Second Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2021). Open Access Series in Informatics (OASIcs), Volume 87, pp. 1-74, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@Proceedings{bertogna_et_al:OASIcs.NG-RES.2021,
  title =	{{OASIcs, Volume 87, NG-RES 2021, Complete Volume}},
  booktitle =	{Second Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2021)},
  pages =	{1--74},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-178-8},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{87},
  editor =	{Bertogna, Marko and Terraneo, Federico},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.NG-RES.2021},
  URN =		{urn:nbn:de:0030-drops-134757},
  doi =		{10.4230/OASIcs.NG-RES.2021},
  annote =	{Keywords: OASIcs, Volume 87, NG-RES 2021, Complete Volume}
}
Document
Front Matter
DOI: 10.4230/OASIcs.NG-RES.2021.0
Front Matter, Table of Contents, Preface, Conference Organization

Authors: Marko Bertogna and Federico Terraneo

Published in: OASIcs, Volume 87, Second Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2021)

Abstract
Front Matter, Table of Contents, Preface, Conference Organization
Cite as

Second Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2021). Open Access Series in Informatics (OASIcs), Volume 87, pp. 0:i-0:x, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{bertogna_et_al:OASIcs.NG-RES.2021.0,
  author =	{Bertogna, Marko and Terraneo, Federico},
  title =	{{Front Matter, Table of Contents, Preface, Conference Organization}},
  booktitle =	{Second Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2021)},
  pages =	{0:i--0:x},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-178-8},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{87},
  editor =	{Bertogna, Marko and Terraneo, Federico},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.NG-RES.2021.0},
  URN =		{urn:nbn:de:0030-drops-134767},
  doi =		{10.4230/OASIcs.NG-RES.2021.0},
  annote =	{Keywords: Front Matter, Table of Contents, Preface, Conference Organization}
}
Document
DOI: 10.4230/LIPIcs.ECRTS.2020.1
Fixed-Priority Memory-Centric Scheduler for COTS-Based Multiprocessors

Authors: Gero Schwäricke, Tomasz Kloda, Giovani Gracioli, Marko Bertogna, and Marco Caccamo

Published in: LIPIcs, Volume 165, 32nd Euromicro Conference on Real-Time Systems (ECRTS 2020)

Abstract
Memory-centric scheduling attempts to guarantee temporal predictability on commercial-off-the-shelf (COTS) multiprocessor systems to exploit their high performance for real-time applications. Several solutions proposed in the real-time literature have hardware requirements that are not easily satisfied by modern COTS platforms, like hardware support for strict memory partitioning or the presence of scratchpads. However, even without said hardware support, it is possible to design an efficient memory-centric scheduler. In this article, we design, implement, and analyze a memory-centric scheduler for deterministic memory management on COTS multiprocessor platforms without any hardware support. Our approach uses fixed-priority scheduling and proposes a global "memory preemption" scheme to boost real-time schedulability. The proposed scheduling protocol is implemented in the Jailhouse hypervisor and Erika real-time kernel. Measurements of the scheduler overhead demonstrate the applicability of the proposed approach, and schedulability experiments show a 20% gain in terms of schedulability when compared to contention-based and static fair-share approaches.
Cite as

Gero Schwäricke, Tomasz Kloda, Giovani Gracioli, Marko Bertogna, and Marco Caccamo. Fixed-Priority Memory-Centric Scheduler for COTS-Based Multiprocessors. In 32nd Euromicro Conference on Real-Time Systems (ECRTS 2020). Leibniz International Proceedings in Informatics (LIPIcs), Volume 165, pp. 1:1-1:24, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

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@InProceedings{schwaricke_et_al:LIPIcs.ECRTS.2020.1,
  author =	{Schw\"{a}ricke, Gero and Kloda, Tomasz and Gracioli, Giovani and Bertogna, Marko and Caccamo, Marco},
  title =	{{Fixed-Priority Memory-Centric Scheduler for COTS-Based Multiprocessors}},
  booktitle =	{32nd Euromicro Conference on Real-Time Systems (ECRTS 2020)},
  pages =	{1:1--1:24},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-152-8},
  ISSN =	{1868-8969},
  year =	{2020},
  volume =	{165},
  editor =	{V\"{o}lp, Marcus},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECRTS.2020.1},
  URN =		{urn:nbn:de:0030-drops-123648},
  doi =		{10.4230/LIPIcs.ECRTS.2020.1},
  annote =	{Keywords: Schedulability Analysis, Scheduler Implementation, memory-centric Scheduling, Virtualization, Multiprocessor}
}
Document
Complete Volume
DOI: 10.4230/OASIcs.NG-RES.2020
OASIcs, Volume 77, NG-RES'20, Complete Volume

Authors: Marko Bertogna and Federico Terraneo

Published in: OASIcs, Volume 77, Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2020)

Abstract
OASIcs, Volume 77, NG-RES'20, Complete Volume
Cite as

Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2020). Open Access Series in Informatics (OASIcs), Volume 77, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

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@Proceedings{bertogna_et_al:OASIcs.NG-RES.2020,
  title =	{{OASIcs, Volume 77, NG-RES'20, Complete Volume}},
  booktitle =	{Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2020)},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-136-8},
  ISSN =	{2190-6807},
  year =	{2020},
  volume =	{77},
  editor =	{Bertogna, Marko and Terraneo, Federico},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.NG-RES.2020},
  URN =		{urn:nbn:de:0030-drops-117852},
  doi =		{10.4230/OASIcs.NG-RES.2020},
  annote =	{Keywords: Computer systems organization, Real-time systems, Embedded and cyber-physical systems}
}
Document
Front Matter
DOI: 10.4230/OASIcs.NG-RES.2020.0
Front Matter, Table of Contents, Preface, Conference Organization

Authors: Marko Bertogna and Federico Terraneo

Published in: OASIcs, Volume 77, Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2020)

Abstract
Front Matter, Table of Contents, Preface, Conference Organization
Cite as

Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2020). Open Access Series in Informatics (OASIcs), Volume 77, pp. 0:i-0:x, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

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@InProceedings{bertogna_et_al:OASIcs.NG-RES.2020.0,
  author =	{Bertogna, Marko and Terraneo, Federico},
  title =	{{Front Matter, Table of Contents, Preface, Conference Organization}},
  booktitle =	{Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2020)},
  pages =	{0:i--0:x},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-136-8},
  ISSN =	{2190-6807},
  year =	{2020},
  volume =	{77},
  editor =	{Bertogna, Marko and Terraneo, Federico},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.NG-RES.2020.0},
  URN =		{urn:nbn:de:0030-drops-117763},
  doi =		{10.4230/OASIcs.NG-RES.2020.0},
  annote =	{Keywords: Front Matter, Table of Contents, Preface, Conference Organization}
}
Document
DOI: 10.4230/OASIcs.NG-RES.2020.3
Bao: A Lightweight Static Partitioning Hypervisor for Modern Multi-Core Embedded Systems

Authors: José Martins, Adriano Tavares, Marco Solieri, Marko Bertogna, and Sandro Pinto

Published in: OASIcs, Volume 77, Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2020)

Abstract
Given the increasingly complex and mixed-criticality nature of modern embedded systems, virtualization emerges as a natural solution to achieve strong spatial and temporal isolation. Widely used hypervisors such as KVM and Xen were not designed having embedded constraints and requirements in mind. The static partitioning architecture pioneered by Jailhouse seems to address embedded concerns. However, Jailhouse still depends on Linux to boot and manage its VMs. In this paper, we present the Bao hypervisor, a minimal, standalone and clean-slate implementation of the static partitioning architecture for Armv8 and RISC-V platforms. Preliminary results regarding size, boot, performance, and interrupt latency, show this approach incurs only minimal virtualization overhead. Bao will soon be publicly available, in hopes of engaging both industry and academia on improving Bao’s safety, security, and real-time guarantees.
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José Martins, Adriano Tavares, Marco Solieri, Marko Bertogna, and Sandro Pinto. Bao: A Lightweight Static Partitioning Hypervisor for Modern Multi-Core Embedded Systems. In Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2020). Open Access Series in Informatics (OASIcs), Volume 77, pp. 3:1-3:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

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@InProceedings{martins_et_al:OASIcs.NG-RES.2020.3,
  author =	{Martins, Jos\'{e} and Tavares, Adriano and Solieri, Marco and Bertogna, Marko and Pinto, Sandro},
  title =	{{Bao: A Lightweight Static Partitioning Hypervisor for Modern Multi-Core Embedded Systems}},
  booktitle =	{Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2020)},
  pages =	{3:1--3:14},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-136-8},
  ISSN =	{2190-6807},
  year =	{2020},
  volume =	{77},
  editor =	{Bertogna, Marko and Terraneo, Federico},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.NG-RES.2020.3},
  URN =		{urn:nbn:de:0030-drops-117795},
  doi =		{10.4230/OASIcs.NG-RES.2020.3},
  annote =	{Keywords: Virtualization, hypervisor, static partitioning, safety, security, real-time, embedded systems, Arm, RISC-V}
}
Document
Artifact
DOI: 10.4230/DARTS.5.1.4
API Comparison of CPU-To-GPU Command Offloading Latency on Embedded Platforms (Artifact)

Authors: Roberto Cavicchioli, Nicola Capodieci, Marco Solieri, and Marko Bertogna

Published in: DARTS, Volume 5, Issue 1, Special Issue of the 31st Euromicro Conference on Real-Time Systems (ECRTS 2019)

Abstract
High-performance heterogeneous embedded platforms allow offloading of parallel workloads to an integrated accelerator, such as General Purpose-Graphic Processing Units (GP-GPUs). A time-predictable characterization of task submission is a must in real-time applications. We provide a profiler of the time spent by the CPU for submitting stereotypical GP-GPU workload shaped as a Deep Neural Network of parameterized complexity. The submission is performed using the latest API available: NVIDIA CUDA, including its various techniques, and Vulkan. Complete automation for the test on Jetson Xavier is also provided by scripts that install software dependencies, run the experiments, and collect results in a PDF report.
Cite as

Roberto Cavicchioli, Nicola Capodieci, Marco Solieri, and Marko Bertogna. API Comparison of CPU-To-GPU Command Offloading Latency on Embedded Platforms (Artifact). In Special Issue of the 31st Euromicro Conference on Real-Time Systems (ECRTS 2019). Dagstuhl Artifacts Series (DARTS), Volume 5, Issue 1, pp. 4:1-4:3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

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@Article{cavicchioli_et_al:DARTS.5.1.4,
  author =	{Cavicchioli, Roberto and Capodieci, Nicola and Solieri, Marco and Bertogna, Marko},
  title =	{{API Comparison of CPU-To-GPU Command Offloading Latency on Embedded Platforms}},
  pages =	{4:1--4:3},
  journal =	{Dagstuhl Artifacts Series},
  ISSN =	{2509-8195},
  year =	{2019},
  volume =	{5},
  number =	{1},
  editor =	{Cavicchioli, Roberto and Capodieci, Nicola and Solieri, Marco and Bertogna, Marko},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DARTS.5.1.4},
  URN =		{urn:nbn:de:0030-drops-107322},
  doi =		{10.4230/DARTS.5.1.4},
  annote =	{Keywords: GPU, Applications, Heterogeneus systems}
}
Document
DOI: 10.4230/LIPIcs.ECRTS.2019.22
Novel Methodologies for Predictable CPU-To-GPU Command Offloading

Authors: Roberto Cavicchioli, Nicola Capodieci, Marco Solieri, and Marko Bertogna

Published in: LIPIcs, Volume 133, 31st Euromicro Conference on Real-Time Systems (ECRTS 2019)

Abstract
There is an increasing industrial and academic interest towards a more predictable characterization of real-time tasks on high-performance heterogeneous embedded platforms, where a host system offloads parallel workloads to an integrated accelerator, such as General Purpose-Graphic Processing Units (GP-GPUs). In this paper, we analyze an important aspect that has not yet been considered in the real-time literature, and that may significantly affect real-time performance if not properly treated, i.e., the time spent by the CPU for submitting GP-GPU operations. We will show that the impact of CPU-to-GPU kernel submissions may be indeed relevant for typical real-time workloads, and that it should be properly factored in when deriving an integrated schedulability analysis for the considered platforms. This is the case when an application is composed of many small and consecutive GPU compute/copy operations. While existing techniques mitigate this issue by batching kernel calls into a reduced number of persistent kernel invocations, in this work we present and evaluate three other approaches that are made possible by recently released versions of the NVIDIA CUDA GP-GPU API, and by Vulkan, a novel open standard GPU API that allows an improved control of GPU command submissions. We will show that this added control may significantly improve the application performance and predictability due to a substantial reduction in CPU-to-GPU driver interactions, making Vulkan an interesting candidate for becoming the state-of-the-art API for heterogeneous Real-Time systems. Our findings are evaluated on a latest generation NVIDIA Jetson AGX Xavier embedded board, executing typical workloads involving Deep Neural Networks of parameterized complexity.
Cite as

Roberto Cavicchioli, Nicola Capodieci, Marco Solieri, and Marko Bertogna. Novel Methodologies for Predictable CPU-To-GPU Command Offloading. In 31st Euromicro Conference on Real-Time Systems (ECRTS 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 133, pp. 22:1-22:22, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

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@InProceedings{cavicchioli_et_al:LIPIcs.ECRTS.2019.22,
  author =	{Cavicchioli, Roberto and Capodieci, Nicola and Solieri, Marco and Bertogna, Marko},
  title =	{{Novel Methodologies for Predictable CPU-To-GPU Command Offloading}},
  booktitle =	{31st Euromicro Conference on Real-Time Systems (ECRTS 2019)},
  pages =	{22:1--22:22},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-110-8},
  ISSN =	{1868-8969},
  year =	{2019},
  volume =	{133},
  editor =	{Quinton, Sophie},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECRTS.2019.22},
  URN =		{urn:nbn:de:0030-drops-107595},
  doi =		{10.4230/LIPIcs.ECRTS.2019.22},
  annote =	{Keywords: Heterogeneous systems, GPU, CUDA, Vulkan}
}
Document
Complete Volume
DOI: 10.4230/LIPIcs.ECRTS.2017
LIPIcs, Volume 76, ECRTS'17, Complete Volume

Authors: Marko Bertogna

Published in: LIPIcs, Volume 76, 29th Euromicro Conference on Real-Time Systems (ECRTS 2017)

Abstract
LIPIcs, Volume 76, ECRTS'17, Complete Volume
Cite as

29th Euromicro Conference on Real-Time Systems (ECRTS 2017). Leibniz International Proceedings in Informatics (LIPIcs), Volume 76, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

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@Proceedings{bertogna:LIPIcs.ECRTS.2017,
  title =	{{LIPIcs, Volume 76, ECRTS'17, Complete Volume}},
  booktitle =	{29th Euromicro Conference on Real-Time Systems (ECRTS 2017)},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-037-8},
  ISSN =	{1868-8969},
  year =	{2017},
  volume =	{76},
  editor =	{Bertogna, Marko},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECRTS.2017},
  URN =		{urn:nbn:de:0030-drops-73648},
  doi =		{10.4230/LIPIcs.ECRTS.2017},
  annote =	{Keywords: Real-Time and Embedded Systems, Performance of Systems, Processors, Scheduling, Real-Time Systems and Embedded Systems and Embedded Systems}
}
Document
Front Matter
DOI: 10.4230/LIPIcs.ECRTS.2017.0
Front Matter, Table of Contents, Preface, Committees, List of Authors

Authors: Marko Bertogna

Published in: LIPIcs, Volume 76, 29th Euromicro Conference on Real-Time Systems (ECRTS 2017)

Abstract
Front Matter, Table of Contents, Preface, Committees, List of Authors
Cite as

29th Euromicro Conference on Real-Time Systems (ECRTS 2017). Leibniz International Proceedings in Informatics (LIPIcs), Volume 76, pp. 0:i-0:xvi, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

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@InProceedings{bertogna:LIPIcs.ECRTS.2017.0,
  author =	{Bertogna, Marko},
  title =	{{Front Matter, Table of Contents, Preface, Committees, List of Authors}},
  booktitle =	{29th Euromicro Conference on Real-Time Systems (ECRTS 2017)},
  pages =	{0:i--0:xvi},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-037-8},
  ISSN =	{1868-8969},
  year =	{2017},
  volume =	{76},
  editor =	{Bertogna, Marko},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECRTS.2017.0},
  URN =		{urn:nbn:de:0030-drops-71495},
  doi =		{10.4230/LIPIcs.ECRTS.2017.0},
  annote =	{Keywords: Front Matter, Table of Contents, Preface, Committees, List of Authors}
}
Document
DOI: 10.4230/OASIcs.WCET.2014.63
The Challenge of Time-Predictability in Modern Many-Core Architectures

Authors: Vincent Nélis, Patrick Meumeu Yomsi, Luís Miguel Pinho, José Carlos Fonseca, Marko Bertogna, Eduardo Quiñones, Roberto Vargas, and Andrea Marongiu

Published in: OASIcs, Volume 39, 14th International Workshop on Worst-Case Execution Time Analysis (2014)

Abstract
The recent technological advancements and market trends are causing an interesting phenomenon towards the convergence of High-Performance Computing (HPC) and Embedded Computing (EC) domains. Many recent HPC applications require huge amounts of information to be processed within a bounded amount of time while EC systems are increasingly concerned with providing higher performance in real-time. The convergence of these two domains towards systems requiring both high performance and a predictable time-behavior challenges the capabilities of current hardware architectures. Fortunately, the advent of next-generation many-core embedded platforms has the chance of intercepting this converging need for predictability and high-performance, allowing HPC and EC applications to be executed on efficient and powerful heterogeneous architectures integrating general-purpose processors with many-core computing fabrics. However, addressing this mixed set of requirements is not without its own challenges and it is now of paramount importance to develop new techniques to exploit the massively parallel computation capabilities of many-core platforms in a predictable way.
Cite as

Vincent Nélis, Patrick Meumeu Yomsi, Luís Miguel Pinho, José Carlos Fonseca, Marko Bertogna, Eduardo Quiñones, Roberto Vargas, and Andrea Marongiu. The Challenge of Time-Predictability in Modern Many-Core Architectures. In 14th International Workshop on Worst-Case Execution Time Analysis. Open Access Series in Informatics (OASIcs), Volume 39, pp. 63-72, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)

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@InProceedings{nelis_et_al:OASIcs.WCET.2014.63,
  author =	{N\'{e}lis, Vincent and Yomsi, Patrick Meumeu and Pinho, Lu{\'\i}s Miguel and Fonseca, Jos\'{e} Carlos and Bertogna, Marko and Qui\~{n}ones, Eduardo and Vargas, Roberto and Marongiu, Andrea},
  title =	{{The Challenge of Time-Predictability in Modern Many-Core Architectures}},
  booktitle =	{14th International Workshop on Worst-Case Execution Time Analysis},
  pages =	{63--72},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-69-9},
  ISSN =	{2190-6807},
  year =	{2014},
  volume =	{39},
  editor =	{Falk, Heiko},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.WCET.2014.63},
  URN =		{urn:nbn:de:0030-drops-46050},
  doi =		{10.4230/OASIcs.WCET.2014.63},
  annote =	{Keywords: Time-Predictability, Many-Cores, Multi-Cores, Timing Analysis}
}

Marko, Bertogna

Document
DOI: 10.4230/DagSemProc.10071.14
The Parallel Supply Function Abstraction for a Virtual Multiprocessor

Authors: Enrico Bini, Bertogna Marko, and Sanjoy K. Baruah

Published in: Dagstuhl Seminar Proceedings, Volume 10071, Scheduling (2010)

Abstract
A new abstraction --- the Parallel Supply Function (PSF) --- is proposed for representing the computing capabilities offered by virtual platforms implemented atop identical multiprocessors. It is shown that this abstraction is strictly more powerful than previously-proposed ones, from the perspective of more accurately representing the inherent parallelism of the provided computing capabilities. Sufficient tests are derived for determining whether a given real-time task system, represented as a collection of sporadic tasks, is guaranteed to always meet all deadlines when scheduled upon a specified virtual platform using the global EDF scheduling algorithm.
Cite as

Enrico Bini, Bertogna Marko, and Sanjoy K. Baruah. The Parallel Supply Function Abstraction for a Virtual Multiprocessor. In Scheduling. Dagstuhl Seminar Proceedings, Volume 10071, pp. 1-14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2010)

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@InProceedings{bini_et_al:DagSemProc.10071.14,
  author =	{Bini, Enrico and Marko, Bertogna and Baruah, Sanjoy K.},
  title =	{{The Parallel Supply Function Abstraction for a Virtual Multiprocessor}},
  booktitle =	{Scheduling},
  pages =	{1--14},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2010},
  volume =	{10071},
  editor =	{Susanne Albers and Sanjoy K. Baruah and Rolf H. M\"{o}hring and Kirk Pruhs},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10071.14},
  URN =		{urn:nbn:de:0030-drops-25423},
  doi =		{10.4230/DagSemProc.10071.14},
  annote =	{Keywords: Virtual multiprocessor}
}
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