9 Search Results for "Brown, Trevor"

Document
Brief Announcement
DOI: 10.4230/LIPIcs.DISC.2025.55
Brief Announcement: Concurrent Double-Ended Priority Queues

Authors: Panagiota Fatourou, Eric Ruppert, and Ioannis Xiradakis

Published in: LIPIcs, Volume 356, 39th International Symposium on Distributed Computing (DISC 2025)

Abstract
This work provides the first concurrent implementation of a double-ended priority queue (DEPQ). We describe a general way to add an ExtractMax operation to any concurrent priority queue that already supports Insert and ExtractMin.
Cite as

Panagiota Fatourou, Eric Ruppert, and Ioannis Xiradakis. Brief Announcement: Concurrent Double-Ended Priority Queues. In 39th International Symposium on Distributed Computing (DISC 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 356, pp. 55:1-55:7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{fatourou_et_al:LIPIcs.DISC.2025.55,
  author =	{Fatourou, Panagiota and Ruppert, Eric and Xiradakis, Ioannis},
  title =	{{Brief Announcement: Concurrent Double-Ended Priority Queues}},
  booktitle =	{39th International Symposium on Distributed Computing (DISC 2025)},
  pages =	{55:1--55:7},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-402-4},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{356},
  editor =	{Kowalski, Dariusz R.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.DISC.2025.55},
  URN =		{urn:nbn:de:0030-drops-248719},
  doi =		{10.4230/LIPIcs.DISC.2025.55},
  annote =	{Keywords: shared-memory, data structure, double-ended, priority queue, priority deque, heap, skip list, combining}
}
Document
DOI: 10.4230/LIPIcs.ESA.2025.85
A Simple yet Exact Analysis of the MultiQueue

Authors: Stefan Walzer and Marvin Williams

Published in: LIPIcs, Volume 351, 33rd Annual European Symposium on Algorithms (ESA 2025)

Abstract
The MultiQueue is a relaxed concurrent priority queue consisting of n internal priority queues, where an insertion uses a random queue and a deletion considers two random queues and deletes the minimum from the one with the smaller minimum. The rank error of the deletion is the number of smaller elements in the MultiQueue. Alistarh et al. [Alistarh et al., 2017] have demonstrated in a sophisticated potential argument that the expected rank error remains bounded by 𝒪(n) over long sequences of deletions. In this paper we present a simpler analysis by identifying the stable distribution of an underlying Markov chain and with it the long-term distribution of the rank error exactly. Simple calculations then reveal the expected long-term rank error to be (5/6)n-1+1/(6n). Our arguments generalize to deletion schemes where the probability to delete from a given queue depends only on the rank of the queue. Specifically, this includes deleting from the best of c randomly selected queues for any c > 1.
Cite as

Stefan Walzer and Marvin Williams. A Simple yet Exact Analysis of the MultiQueue. In 33rd Annual European Symposium on Algorithms (ESA 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 351, pp. 85:1-85:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{walzer_et_al:LIPIcs.ESA.2025.85,
  author =	{Walzer, Stefan and Williams, Marvin},
  title =	{{A Simple yet Exact Analysis of the MultiQueue}},
  booktitle =	{33rd Annual European Symposium on Algorithms (ESA 2025)},
  pages =	{85:1--85:14},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-395-9},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{351},
  editor =	{Benoit, Anne and Kaplan, Haim and Wild, Sebastian and Herman, Grzegorz},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ESA.2025.85},
  URN =		{urn:nbn:de:0030-drops-245533},
  doi =		{10.4230/LIPIcs.ESA.2025.85},
  annote =	{Keywords: MultiQueue, concurrent data structure, stochastic process, Markov chain}
}
Document
DOI: 10.4230/LIPIcs.ECRTS.2025.12
Real-Time System Evaluation Techniques: A Systematic Mapping Study

Authors: Tilmann L. Unte and Sebastian Altmeyer

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

Abstract
A systematic mapping study assesses a broad selection of research publications with the aim of categorizing them according to a research question. We present the first systematic mapping study on evaluation practices within the field of real-time systems, by analyzing publications from the top three conferences ECRTS, RTAS, and RTSS from 2017 until 2024. Our study provides a comprehensive view on the evaluation practices prevalent in our community, including benchmark software, task set and graph generators, case studies, industrial challenges, and custom solutions. Based on our study, we construct and publish a dataset enabling quantitative analysis of evaluation practices within the real-time systems community. Our analysis indicates shortcomings in current practice: custom case studies are abundant, while industrial challenges have very minor impact. Reproducibility has only been shown for a small subset of evaluations and there is no indication of change. Adoption of new and improved tools and benchmarks is very slow or even non-existent. Evaluation must not be viewed as an obligation when publishing a paper, but as a key element in ensuring practicability, comparability, and reproducibility. Based on our study, we conclude that our community currently falls short on these objectives.
Cite as

Tilmann L. Unte and Sebastian Altmeyer. Real-Time System Evaluation Techniques: A Systematic Mapping Study. In 37th Euromicro Conference on Real-Time Systems (ECRTS 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 335, pp. 12:1-12:21, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{unte_et_al:LIPIcs.ECRTS.2025.12,
  author =	{Unte, Tilmann L. and Altmeyer, Sebastian},
  title =	{{Real-Time System Evaluation Techniques: A Systematic Mapping Study}},
  booktitle =	{37th Euromicro Conference on Real-Time Systems (ECRTS 2025)},
  pages =	{12:1--12:21},
  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.2025.12},
  URN =		{urn:nbn:de:0030-drops-235903},
  doi =		{10.4230/LIPIcs.ECRTS.2025.12},
  annote =	{Keywords: Systematic Mapping Study, Real-Time Systems, Evaluation}
}
Document
DOI: 10.4230/LIPIcs.OPODIS.2024.6
DULL: A Fast Scalable Detectable Unrolled Lock-Based Linked List

Authors: Ahmed Fahmy and Wojciech Golab

Published in: LIPIcs, Volume 324, 28th International Conference on Principles of Distributed Systems (OPODIS 2024)

Abstract
Persistent memory (PM) has emerged as a promising technology that enables data structures to preserve their consistent state after recovering from system failures. Detectable data structures have been proposed to detect the response of the last operation of a crashed process. Various lock-free detectable and recoverable concurrent data structures have been developed in the literature. However, designing detectable lock-based structures is challenging due to the need to preserve the correctness properties of the underlying locks, such as mutual exclusion and deadlock-freedom, across failures. Therefore, lock-based detectable and persistent data structures are not as common as lock-free structures. In this work, we introduce DULL: a fast, scalable and Detectable Unrolled Lock-based Linked list. This paper presents the design and implementation of DULL, along with an evaluation of its recoverability and scalability. Experimental Results show that DULL is several-fold faster than the competition in all workloads that involve updates. Moreover, as opposed to some of the previous works, our algorithm is scalable when the multiprocessor is oversubscribed. DULL is a demonstration of the feasibility of using lock-based data structures with detectability in PM environments. We believe that DULL opens up new research directions for designing and analyzing detectable lock-based data structures.
Cite as

Ahmed Fahmy and Wojciech Golab. DULL: A Fast Scalable Detectable Unrolled Lock-Based Linked List. In 28th International Conference on Principles of Distributed Systems (OPODIS 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 324, pp. 6:1-6:25, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{fahmy_et_al:LIPIcs.OPODIS.2024.6,
  author =	{Fahmy, Ahmed and Golab, Wojciech},
  title =	{{DULL: A Fast Scalable Detectable Unrolled Lock-Based Linked List}},
  booktitle =	{28th International Conference on Principles of Distributed Systems (OPODIS 2024)},
  pages =	{6:1--6:25},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-360-7},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{324},
  editor =	{Bonomi, Silvia and Galletta, Letterio and Rivi\`{e}re, Etienne and Schiavoni, Valerio},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.OPODIS.2024.6},
  URN =		{urn:nbn:de:0030-drops-225429},
  doi =		{10.4230/LIPIcs.OPODIS.2024.6},
  annote =	{Keywords: detectability, lock-based, mutual exclusion, linked list, fault-tolerance, persistent memory, concurrency}
}
Document
DOI: 10.4230/LIPIcs.OPODIS.2024.5
RMR-Efficient Detectable Objects for Persistent Memory and Their Applications

Authors: Sahil Dhoked, Ahmed Fahmy, Wojciech Golab, and Neeraj Mittal

Published in: LIPIcs, Volume 324, 28th International Conference on Principles of Distributed Systems (OPODIS 2024)

Abstract
We describe a novel construction of arbitrary read-modify-write (RMW) primitives in a persistent shared memory model with process failures. Our construction uses blocking synchronization, in the form of recoverable mutual exclusion (RME), and is optimal in terms of the widely studied remote memory reference (RMR) complexity measure. The implemented objects tolerate either system-wide or independent process crashes, depending on the RME lock used, and also provide detectability for resolving the outcome of operations interrupted by failures. We prove that our construction is RMR-optimal using a reduction back to the RME problem. Our proof technique introduces a novel algorithmic style that enables solving challenging synchronization problems using a common execution path for both the system-wide and independent failure models, which previously required separate analyses, and relies only on a suitable implementation of the detectable base objects in each model to achieve RMR efficiency. Experiments demonstrate that our construction outperforms prior wait-free and lock-free algorithms on a multiprocessor with Intel Optane persistent memory.
Cite as

Sahil Dhoked, Ahmed Fahmy, Wojciech Golab, and Neeraj Mittal. RMR-Efficient Detectable Objects for Persistent Memory and Their Applications. In 28th International Conference on Principles of Distributed Systems (OPODIS 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 324, pp. 5:1-5:26, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{dhoked_et_al:LIPIcs.OPODIS.2024.5,
  author =	{Dhoked, Sahil and Fahmy, Ahmed and Golab, Wojciech and Mittal, Neeraj},
  title =	{{RMR-Efficient Detectable Objects for Persistent Memory and Their Applications}},
  booktitle =	{28th International Conference on Principles of Distributed Systems (OPODIS 2024)},
  pages =	{5:1--5:26},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-360-7},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{324},
  editor =	{Bonomi, Silvia and Galletta, Letterio and Rivi\`{e}re, Etienne and Schiavoni, Valerio},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.OPODIS.2024.5},
  URN =		{urn:nbn:de:0030-drops-225417},
  doi =		{10.4230/LIPIcs.OPODIS.2024.5},
  annote =	{Keywords: persistent memory, synchronization, recoverability, fault tolerance, detectability, scalability, RMR complexity, theory, mutual exclusion}
}
Document
DOI: 10.4230/LIPIcs.OPODIS.2022.7
Performance Anomalies in Concurrent Data Structure Microbenchmarks

Authors: Rosina F. Kharal and Trevor Brown

Published in: LIPIcs, Volume 253, 26th International Conference on Principles of Distributed Systems (OPODIS 2022)

Abstract
Recent decades have witnessed a surge in the development of concurrent data structures with an increasing interest in data structures implementing concurrent sets (CSets). Microbenchmarking tools are frequently utilized to evaluate and compare the performance differences across concurrent data structures. The underlying structure and design of the microbenchmarks themselves can play a hidden but influential role in performance results. However, the impact of microbenchmark design has not been well investigated. In this work, we illustrate instances where concurrent data structure performance results reported by a microbenchmark can vary 10-100x depending on the microbenchmark implementation details. We investigate factors leading to performance variance across three popular microbenchmarks and outline cases in which flawed microbenchmark design can lead to an inversion of performance results between two concurrent data structure implementations. We further derive a set of recommendations for best practices in the design and usage of concurrent data structure microbenchmarks and explore advanced features in the Setbench microbenchmark.
Cite as

Rosina F. Kharal and Trevor Brown. Performance Anomalies in Concurrent Data Structure Microbenchmarks. In 26th International Conference on Principles of Distributed Systems (OPODIS 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 253, pp. 7:1-7:24, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@InProceedings{kharal_et_al:LIPIcs.OPODIS.2022.7,
  author =	{Kharal, Rosina F. and Brown, Trevor},
  title =	{{Performance Anomalies in Concurrent Data Structure Microbenchmarks}},
  booktitle =	{26th International Conference on Principles of Distributed Systems (OPODIS 2022)},
  pages =	{7:1--7:24},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-265-5},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{253},
  editor =	{Hillel, Eshcar and Palmieri, Roberto and Rivi\`{e}re, Etienne},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.OPODIS.2022.7},
  URN =		{urn:nbn:de:0030-drops-176273},
  doi =		{10.4230/LIPIcs.OPODIS.2022.7},
  annote =	{Keywords: concurrent microbenchmarks, concurrent data structures, concurrent performance evaluation, PRNGs, parallel computing}
}
Document
Brief Announcement
DOI: 10.4230/LIPIcs.DISC.2022.45
Brief Announcement: Performance Anomalies in Concurrent Data Structure Microbenchmarks

Authors: Rosina F. Kharal and Trevor Brown

Published in: LIPIcs, Volume 246, 36th International Symposium on Distributed Computing (DISC 2022)

Abstract
Recent decades have witnessed a surge in the development of concurrent data structures with an increasing interest in data structures implementing concurrent sets (CSets). Microbenchmarking tools are frequently utilized to evaluate and compare performance differences across concurrent data structures. The underlying structure and design of the microbenchmarks themselves can play a hidden but influential role in performance results. However, the impact of microbenchmark design has not been well investigated. In this work, we illustrate instances where concurrent data structure performance results reported by a microbenchmark can vary 10-100x depending on the microbenchmark implementation details. We investigate factors leading to performance variance across three popular microbenchmarks and outline cases in which flawed microbenchmark design can lead to an inversion of performance results between two concurrent data structure implementations. We further derive a prescriptive approach for best practices in the design and utilization of concurrent data structure microbenchmarks.
Cite as

Rosina F. Kharal and Trevor Brown. Brief Announcement: Performance Anomalies in Concurrent Data Structure Microbenchmarks. In 36th International Symposium on Distributed Computing (DISC 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 246, pp. 45:1-45:3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

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@InProceedings{kharal_et_al:LIPIcs.DISC.2022.45,
  author =	{Kharal, Rosina F. and Brown, Trevor},
  title =	{{Brief Announcement: Performance Anomalies in Concurrent Data Structure Microbenchmarks}},
  booktitle =	{36th International Symposium on Distributed Computing (DISC 2022)},
  pages =	{45:1--45:3},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-255-6},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{246},
  editor =	{Scheideler, Christian},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.DISC.2022.45},
  URN =		{urn:nbn:de:0030-drops-172363},
  doi =		{10.4230/LIPIcs.DISC.2022.45},
  annote =	{Keywords: concurrent microbenchmarks, concurrent data structures, high performance simulations, PRNGs}
}
Document
DOI: 10.4230/LIPIcs.DISC.2017.4
Reuse, Don't Recycle: Transforming Lock-Free Algorithms That Throw Away Descriptors

Authors: Maya Arbel-Raviv and Trevor Brown

Published in: LIPIcs, Volume 91, 31st International Symposium on Distributed Computing (DISC 2017)

Abstract
In many lock-free algorithms, threads help one another, and each operation creates a descriptor that describes how other threads should help it. Allocating and reclaiming descriptors introduces significant space and time overhead. We introduce the first descriptor abstract data type (ADT), which captures the usage of descriptors by lock-free algorithms. We then develop a weak descriptor ADT which has weaker semantics, but can be implemented significantly more efficiently. We show how a large class of lock-free algorithms can be transformed to use weak descriptors, and demonstrate our technique by transforming several algorithms, including the leading k-compare-and-swap (k-CAS) algorithm. The original k-CAS algorithm allocates at least k+1 new descriptors per k-CAS. In contrast, our implementation allocates two descriptors per process, and each process simply reuses its two descriptors. Experiments on a variety of workloads show significant performance improvements over implementations that reclaim descriptors, and reductions of up to three orders of magnitude in peak memory usage.
Cite as

Maya Arbel-Raviv and Trevor Brown. Reuse, Don't Recycle: Transforming Lock-Free Algorithms That Throw Away Descriptors. In 31st International Symposium on Distributed Computing (DISC 2017). Leibniz International Proceedings in Informatics (LIPIcs), Volume 91, pp. 4:1-4:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

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@InProceedings{arbelraviv_et_al:LIPIcs.DISC.2017.4,
  author =	{Arbel-Raviv, Maya and Brown, Trevor},
  title =	{{Reuse, Don't Recycle: Transforming Lock-Free Algorithms That Throw Away Descriptors}},
  booktitle =	{31st International Symposium on Distributed Computing (DISC 2017)},
  pages =	{4:1--4:16},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-053-8},
  ISSN =	{1868-8969},
  year =	{2017},
  volume =	{91},
  editor =	{Richa, Andr\'{e}a},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.DISC.2017.4},
  URN =		{urn:nbn:de:0030-drops-80092},
  doi =		{10.4230/LIPIcs.DISC.2017.4},
  annote =	{Keywords: Concurrency, data structures, lock-free, synchronization, descriptors}
}
Document
DOI: 10.4230/LIPIcs.DISC.2017.9
Cost of Concurrency in Hybrid Transactional Memory

Authors: Trevor Brown and Srivatsan Ravi

Published in: LIPIcs, Volume 91, 31st International Symposium on Distributed Computing (DISC 2017)

Abstract
State-of-the-art software transactional memory (STM) implementations achieve good performance by carefully avoiding the overhead of incremental validation (i.e., re-reading previously read data items to avoid inconsistency) while still providing progressiveness (allowing transactional aborts only due to data conflicts). Hardware transactional memory (HTM) implementations promise even better performance, but offer no progress guarantees. Thus, they must be combined with STMs, leading to hybrid TMs (HyTMs) in which hardware transactions must be instrumented (i.e., access metadata) to detect contention with software transactions. We show that, unlike in progressive STMs, software transactions in progressive HyTMs cannot avoid incremental validation. In fact, this result holds even if hardware transactions can read metadata non-speculatively. We then present opaque HyTM algorithms providing progressiveness for a subset of transactions that are optimal in terms of hardware instrumentation. We explore the concurrency vs. hardware instrumentation vs. software validation trade-offs for these algorithms. Our experiments with Intel and IBM POWER8 HTMs seem to suggest that (i) the cost of concurrency also exists in practice, (ii) it is important to implement HyTMs that provide progressiveness for a maximal set of transactions without incurring high hardware instrumentation overhead or using global contending bottlenecks and (iii) there is no easy way to derive more efficient HyTMs by taking advantage of non-speculative accesses within hardware.
Cite as

Trevor Brown and Srivatsan Ravi. Cost of Concurrency in Hybrid Transactional Memory. In 31st International Symposium on Distributed Computing (DISC 2017). Leibniz International Proceedings in Informatics (LIPIcs), Volume 91, pp. 9:1-9:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

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@InProceedings{brown_et_al:LIPIcs.DISC.2017.9,
  author =	{Brown, Trevor and Ravi, Srivatsan},
  title =	{{Cost of Concurrency in Hybrid Transactional Memory}},
  booktitle =	{31st International Symposium on Distributed Computing (DISC 2017)},
  pages =	{9:1--9:16},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-053-8},
  ISSN =	{1868-8969},
  year =	{2017},
  volume =	{91},
  editor =	{Richa, Andr\'{e}a},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.DISC.2017.9},
  URN =		{urn:nbn:de:0030-drops-79958},
  doi =		{10.4230/LIPIcs.DISC.2017.9},
  annote =	{Keywords: Transactional memory, Lower bounds, Opacity}
}
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