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Documents authored by Bakita, Joshua J.

Found 2 Possible Name Variants:

Bakita, Joshua J.

Document
Artifact
DOI: 10.4230/DARTS.6.1.1
Simultaneous Multithreading and Hard Real Time: Can it be Safe? (Artifact)

Authors: Sims Hill Osborne, Joshua J. Bakita, and James H. Anderson

Published in: DARTS, Volume 6, Issue 1, Special Issue of the 32nd Euromicro Conference on Real-Time Systems (ECRTS 2020)

Abstract
The applicability of Simultaneous Multithreading (SMT) to real-time systems has been hampered by the difficulty of obtaining reliable execution costs in an SMT-enabled system. This problem is addressed from two directions. A scheduler is introduced, CERT-MT, that minimizes SMT-related timing variations, and two new timing analysis methods - one based on the binomial distribution and one based on Cantelli’s Inequality - are given. Both methods estimate probabilistic WCETs and attach statistical confidence levels to those estimates. The timing analyses are applied to tasks executing with and without SMT, and it is found that in some cases, two tasks utilizing SMT can be safely executed in less time than would be needed for either task by itself. A large-scale schedulability study is conducted, showing that CERT-MT can schedule systems with total utilizations twice what could otherwise be achieved. This artifact includes benchmark experiments used to compare execution times with and without SMT and code to analyze the benchmark experiments and duplicate the reported schedulability experiments.
Cite as

Sims Hill Osborne, Joshua J. Bakita, and James H. Anderson. Simultaneous Multithreading and Hard Real Time: Can it be Safe? (Artifact). In Special Issue of the 32nd Euromicro Conference on Real-Time Systems (ECRTS 2020). Dagstuhl Artifacts Series (DARTS), Volume 6, Issue 1, pp. 1:1-1:3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

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@Article{osborne_et_al:DARTS.6.1.1,
  author =	{Osborne, Sims Hill and Bakita, Joshua J. and Anderson, James H.},
  title =	{{Simultaneous Multithreading and Hard Real Time: Can it be Safe? (Artifact)}},
  pages =	{1:1--1:3},
  journal =	{Dagstuhl Artifacts Series},
  ISSN =	{2509-8195},
  year =	{2020},
  volume =	{6},
  number =	{1},
  editor =	{Osborne, Sims Hill and Bakita, Joshua J. and Anderson, James H.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DARTS.6.1.1},
  URN =		{urn:nbn:de:0030-drops-123915},
  doi =		{10.4230/DARTS.6.1.1},
  annote =	{Keywords: real-time systems, simultaneous multithreading, real-time, scheduling algorithms, timing analysis, probability, statistics}
}
Document
Artifact
DOI: 10.4230/DARTS.5.1.8
Simultaneous Multithreading Applied to Real Time (Artifact)

Authors: Sims Hill Osborne, Joshua J. Bakita, and James H. Anderson

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

Abstract
Existing models used in real-time scheduling are inadequate to take advantage of simultaneous multithreading (SMT), which has been shown to improve performance in many areas of computing, but has seen little application to real-time systems. The SMART task model, which allows for combining SMT and real time by accounting for the variable task execution costs caused by SMT, is introduced, along with methods and conditions for scheduling SMT tasks under global earliest-deadline-first scheduling. The benefits of using SMT are demonstrated through a large-scale schedulability study in which we show that task systems with utilizations 30% larger than what would be schedulable without SMT can be correctly scheduled. This artifact includes benchmark experiments used to compare execution times with and without SMT and code to duplicate the reported schedulability experiments.
Cite as

Sims Hill Osborne, Joshua J. Bakita, and James H. Anderson. Simultaneous Multithreading Applied to Real Time (Artifact). In Special Issue of the 31st Euromicro Conference on Real-Time Systems (ECRTS 2019). Dagstuhl Artifacts Series (DARTS), Volume 5, Issue 1, pp. 8:1-8:2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

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@Article{osborne_et_al:DARTS.5.1.8,
  author =	{Osborne, Sims Hill and Bakita, Joshua J. and Anderson, James H.},
  title =	{{Simultaneous Multithreading Applied to Real Time}},
  pages =	{8:1--8:2},
  journal =	{Dagstuhl Artifacts Series},
  ISSN =	{2509-8195},
  year =	{2019},
  volume =	{5},
  number =	{1},
  editor =	{Osborne, Sims Hill and Bakita, Joshua J. and Anderson, James H.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DARTS.5.1.8},
  URN =		{urn:nbn:de:0030-drops-107362},
  doi =		{10.4230/DARTS.5.1.8},
  annote =	{Keywords: real-time systems, simultaneous multithreading, soft real-time, scheduling algorithms}
}
Document
DOI: 10.4230/LIPIcs.ECRTS.2019.3
Simultaneous Multithreading Applied to Real Time

Authors: Sims Hill Osborne, Joshua J. Bakita, and James H. Anderson

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

Abstract
Existing models used in real-time scheduling are inadequate to take advantage of simultaneous multithreading (SMT), which has been shown to improve performance in many areas of computing, but has seen little application to real-time systems. The SMART task model, which allows for combining SMT and real time by accounting for the variable task execution costs caused by SMT, is introduced, along with methods and conditions for scheduling SMT tasks under global earliest-deadline-first scheduling. The benefits of using SMT are demonstrated through a large-scale schedulability study in which we show that task systems with utilizations 30% larger than what would be schedulable without SMT can be correctly scheduled.
Cite as

Sims Hill Osborne, Joshua J. Bakita, and James H. Anderson. Simultaneous Multithreading Applied to Real Time. In 31st Euromicro Conference on Real-Time Systems (ECRTS 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 133, pp. 3:1-3:22, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

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@InProceedings{osborne_et_al:LIPIcs.ECRTS.2019.3,
  author =	{Osborne, Sims Hill and Bakita, Joshua J. and Anderson, James H.},
  title =	{{Simultaneous Multithreading Applied to Real Time}},
  booktitle =	{31st Euromicro Conference on Real-Time Systems (ECRTS 2019)},
  pages =	{3:1--3:22},
  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.2019.3},
  URN =		{urn:nbn:de:0030-drops-107400},
  doi =		{10.4230/LIPIcs.ECRTS.2019.3},
  annote =	{Keywords: real-time systems, simultaneous multithreading, soft real-time, scheduling algorithms}
}

Bakita, Joshua

Artifact
Software
DOI: 10.4230/artifacts.23733
Hardware Compute Partitioning on NVIDIA GPUs for Composable Systems (Artifact)

Authors: Joshua Bakita and James H. Anderson

Abstract
Cite as

Joshua Bakita, James H. Anderson. Hardware Compute Partitioning on NVIDIA GPUs for Composable Systems (Artifact) (Software, Source Code). Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@misc{dagstuhl-artifact-23733,
   title = {{Hardware Compute Partitioning on NVIDIA GPUs for Composable Systems (Artifact)}}, 
   author = {Bakita, Joshua and Anderson, James H.},
   note = {Software (visited on 2025-07-07)},
   url = {https://www.cs.unc.edu/~jbakita/ecrts25-ae/},
   doi = {10.4230/artifacts.23733},
}
Document
DOI: 10.4230/LIPIcs.ECRTS.2025.21
Hardware Compute Partitioning on NVIDIA GPUs for Composable Systems

Authors: Joshua Bakita and James H. Anderson

Published in: LIPIcs, Volume 335, 37th Euromicro Conference on Real-Time Systems (ECRTS 2025)

Abstract
As GPU-using tasks become more common in embedded, safety-critical systems, efficiency demands necessitate sharing a single GPU among multiple tasks. Unfortunately, existing ways to schedule multiple tasks onto a GPU often either result in a loss of ability to meet deadlines, or a loss of efficiency. In this work, we develop a system-level spatial compute partitioning mechanism for NVIDIA GPUs and demonstrate that it can be used to execute tasks efficiently without compromising timing predictability. Our tool, called nvtaskset, supports composable systems by not requiring task, driver, or hardware modifications. In our evaluation, we demonstrate sub-1-μs overheads, stronger partition enforcement, and finer-granularity partitioning when using our mechanism instead of NVIDIA’s Multi-Process Service (MPS) or Multi-instance GPU (MiG) features.
Cite as

Joshua Bakita and James H. Anderson. Hardware Compute Partitioning on NVIDIA GPUs for Composable Systems. In 37th Euromicro Conference on Real-Time Systems (ECRTS 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 335, pp. 21:1-21:25, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{bakita_et_al:LIPIcs.ECRTS.2025.21,
  author =	{Bakita, Joshua and Anderson, James H.},
  title =	{{Hardware Compute Partitioning on NVIDIA GPUs for Composable Systems}},
  booktitle =	{37th Euromicro Conference on Real-Time Systems (ECRTS 2025)},
  pages =	{21:1--21:25},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-377-5},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{335},
  editor =	{Mancuso, Renato},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECRTS.2025.21},
  URN =		{urn:nbn:de:0030-drops-235998},
  doi =		{10.4230/LIPIcs.ECRTS.2025.21},
  annote =	{Keywords: Real-time systems, composable systems, graphics processing units, CUDA}
}
Document
DOI: 10.4230/LIPIcs.ECRTS.2018.20
Avoiding Pitfalls when Using NVIDIA GPUs for Real-Time Tasks in Autonomous Systems

Authors: Ming Yang, Nathan Otterness, Tanya Amert, Joshua Bakita, James H. Anderson, and F. Donelson Smith

Published in: LIPIcs, Volume 106, 30th Euromicro Conference on Real-Time Systems (ECRTS 2018)

Abstract
NVIDIA's CUDA API has enabled GPUs to be used as computing accelerators across a wide range of applications. This has resulted in performance gains in many application domains, but the underlying GPU hardware and software are subject to many non-obvious pitfalls. This is particularly problematic for safety-critical systems, where worst-case behaviors must be taken into account. While such behaviors were not a key concern for earlier CUDA users, the usage of GPUs in autonomous vehicles has taken CUDA programs out of the sole domain of computer-vision and machine-learning experts and into safety-critical processing pipelines. Certification is necessary in this new domain, which is problematic because GPU software may have been developed without any regard for worst-case behaviors. Pitfalls when using CUDA in real-time autonomous systems can result from the lack of specifics in official documentation, and developers of GPU software not being aware of the implications of their design choices with regards to real-time requirements. This paper focuses on the particular challenges facing the real-time community when utilizing CUDA-enabled GPUs for autonomous applications, and best practices for applying real-time safety-critical principles.
Cite as

Ming Yang, Nathan Otterness, Tanya Amert, Joshua Bakita, James H. Anderson, and F. Donelson Smith. Avoiding Pitfalls when Using NVIDIA GPUs for Real-Time Tasks in Autonomous Systems. In 30th Euromicro Conference on Real-Time Systems (ECRTS 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 106, pp. 20:1-20:21, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@InProceedings{yang_et_al:LIPIcs.ECRTS.2018.20,
  author =	{Yang, Ming and Otterness, Nathan and Amert, Tanya and Bakita, Joshua and Anderson, James H. and Smith, F. Donelson},
  title =	{{Avoiding Pitfalls when Using NVIDIA GPUs for Real-Time Tasks in Autonomous Systems}},
  booktitle =	{30th Euromicro Conference on Real-Time Systems (ECRTS 2018)},
  pages =	{20:1--20:21},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-075-0},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{106},
  editor =	{Altmeyer, Sebastian},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECRTS.2018.20},
  URN =		{urn:nbn:de:0030-drops-89845},
  doi =		{10.4230/LIPIcs.ECRTS.2018.20},
  annote =	{Keywords: real-time systems, graphics processing units, scheduling algorithms, parallel computing, embedded software}
}
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