--- _id: '5959' abstract: - lang: eng text: Formalizing properties of systems with continuous dynamics is a challenging task. In this paper, we propose a formal framework for specifying and monitoring rich temporal properties of real-valued signals. We introduce signal first-order logic (SFO) as a specification language that combines first-order logic with linear-real arithmetic and unary function symbols interpreted as piecewise-linear signals. We first show that while the satisfiability problem for SFO is undecidable, its membership and monitoring problems are decidable. We develop an offline monitoring procedure for SFO that has polynomial complexity in the size of the input trace and the specification, for a fixed number of quantifiers and function symbols. We show that the algorithm has computation time linear in the size of the input trace for the important fragment of bounded-response specifications interpreted over input traces with finite variability. We can use our results to extend signal temporal logic with first-order quantifiers over time and value parameters, while preserving its efficient monitoring. We finally demonstrate the practical appeal of our logic through a case study in the micro-electronics domain. article_processing_charge: No author: - first_name: Alexey full_name: Bakhirkin, Alexey last_name: Bakhirkin - first_name: Thomas full_name: Ferrere, Thomas id: 40960E6E-F248-11E8-B48F-1D18A9856A87 last_name: Ferrere orcid: 0000-0001-5199-3143 - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000−0002−2985−7724 - first_name: Deian full_name: Nickovicl, Deian last_name: Nickovicl citation: ama: 'Bakhirkin A, Ferrere T, Henzinger TA, Nickovicl D. Keynote: The first-order logic of signals. In: 2018 International Conference on Embedded Software. IEEE; 2018:1-10. doi:10.1109/emsoft.2018.8537203' apa: 'Bakhirkin, A., Ferrere, T., Henzinger, T. A., & Nickovicl, D. (2018). Keynote: The first-order logic of signals. In 2018 International Conference on Embedded Software (pp. 1–10). Turin, Italy: IEEE. https://doi.org/10.1109/emsoft.2018.8537203' chicago: 'Bakhirkin, Alexey, Thomas Ferrere, Thomas A Henzinger, and Deian Nickovicl. “Keynote: The First-Order Logic of Signals.” In 2018 International Conference on Embedded Software, 1–10. IEEE, 2018. https://doi.org/10.1109/emsoft.2018.8537203.' ieee: 'A. Bakhirkin, T. Ferrere, T. A. Henzinger, and D. Nickovicl, “Keynote: The first-order logic of signals,” in 2018 International Conference on Embedded Software, Turin, Italy, 2018, pp. 1–10.' ista: 'Bakhirkin A, Ferrere T, Henzinger TA, Nickovicl D. 2018. Keynote: The first-order logic of signals. 2018 International Conference on Embedded Software. EMSOFT: International Conference on Embedded Software, 1–10.' mla: 'Bakhirkin, Alexey, et al. “Keynote: The First-Order Logic of Signals.” 2018 International Conference on Embedded Software, IEEE, 2018, pp. 1–10, doi:10.1109/emsoft.2018.8537203.' short: A. Bakhirkin, T. Ferrere, T.A. Henzinger, D. Nickovicl, in:, 2018 International Conference on Embedded Software, IEEE, 2018, pp. 1–10. conference: end_date: 2018-10-05 location: Turin, Italy name: 'EMSOFT: International Conference on Embedded Software' start_date: 2018-09-30 date_created: 2019-02-13T09:19:28Z date_published: 2018-09-30T00:00:00Z date_updated: 2023-09-19T10:41:29Z day: '30' ddc: - '000' department: - _id: ToHe doi: 10.1109/emsoft.2018.8537203 external_id: isi: - '000492828500005' file: - access_level: open_access checksum: 234a33ad9055b3458fcdda6af251b33a content_type: application/pdf creator: dernst date_created: 2020-05-14T16:01:29Z date_updated: 2020-07-14T12:47:13Z file_id: '7839' file_name: 2018_EMSOFT_Bakhirkin.pdf file_size: 338006 relation: main_file file_date_updated: 2020-07-14T12:47:13Z has_accepted_license: '1' isi: 1 language: - iso: eng month: '09' oa: 1 oa_version: Published Version page: 1-10 project: - _id: 25832EC2-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S 11407_N23 name: Rigorous Systems Engineering - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: 2018 International Conference on Embedded Software publication_identifier: isbn: - '9781538655603' publication_status: published publisher: IEEE quality_controlled: '1' scopus_import: '1' status: public title: 'Keynote: The first-order logic of signals' type: conference user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 year: '2018' ... --- _id: '5962' abstract: - lang: eng text: Stochastic Gradient Descent (SGD) is a fundamental algorithm in machine learning, representing the optimization backbone for training several classic models, from regression to neural networks. Given the recent practical focus on distributed machine learning, significant work has been dedicated to the convergence properties of this algorithm under the inconsistent and noisy updates arising from execution in a distributed environment. However, surprisingly, the convergence properties of this classic algorithm in the standard shared-memory model are still not well-understood. In this work, we address this gap, and provide new convergence bounds for lock-free concurrent stochastic gradient descent, executing in the classic asynchronous shared memory model, against a strong adaptive adversary. Our results give improved upper and lower bounds on the "price of asynchrony'' when executing the fundamental SGD algorithm in a concurrent setting. They show that this classic optimization tool can converge faster and with a wider range of parameters than previously known under asynchronous iterations. At the same time, we exhibit a fundamental trade-off between the maximum delay in the system and the rate at which SGD can converge, which governs the set of parameters under which this algorithm can still work efficiently. article_processing_charge: No author: - first_name: Dan-Adrian full_name: Alistarh, Dan-Adrian id: 4A899BFC-F248-11E8-B48F-1D18A9856A87 last_name: Alistarh orcid: 0000-0003-3650-940X - first_name: Christopher full_name: De Sa, Christopher last_name: De Sa - first_name: Nikola H full_name: Konstantinov, Nikola H id: 4B9D76E4-F248-11E8-B48F-1D18A9856A87 last_name: Konstantinov citation: ama: 'Alistarh D-A, De Sa C, Konstantinov NH. The convergence of stochastic gradient descent in asynchronous shared memory. In: Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing  - PODC ’18. ACM Press; 2018:169-178. doi:10.1145/3212734.3212763' apa: 'Alistarh, D.-A., De Sa, C., & Konstantinov, N. H. (2018). The convergence of stochastic gradient descent in asynchronous shared memory. In Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing  - PODC ’18 (pp. 169–178). Egham, United Kingdom: ACM Press. https://doi.org/10.1145/3212734.3212763' chicago: Alistarh, Dan-Adrian, Christopher De Sa, and Nikola H Konstantinov. “The Convergence of Stochastic Gradient Descent in Asynchronous Shared Memory.” In Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing  - PODC ’18, 169–78. ACM Press, 2018. https://doi.org/10.1145/3212734.3212763. ieee: D.-A. Alistarh, C. De Sa, and N. H. Konstantinov, “The convergence of stochastic gradient descent in asynchronous shared memory,” in Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing  - PODC ’18, Egham, United Kingdom, 2018, pp. 169–178. ista: 'Alistarh D-A, De Sa C, Konstantinov NH. 2018. The convergence of stochastic gradient descent in asynchronous shared memory. Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing  - PODC ’18. PODC: Principles of Distributed Computing, 169–178.' mla: Alistarh, Dan-Adrian, et al. “The Convergence of Stochastic Gradient Descent in Asynchronous Shared Memory.” Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing  - PODC ’18, ACM Press, 2018, pp. 169–78, doi:10.1145/3212734.3212763. short: D.-A. Alistarh, C. De Sa, N.H. Konstantinov, in:, Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing  - PODC ’18, ACM Press, 2018, pp. 169–178. conference: end_date: 2018-07-27 location: Egham, United Kingdom name: 'PODC: Principles of Distributed Computing' start_date: 2018-07-23 date_created: 2019-02-13T09:58:58Z date_published: 2018-07-23T00:00:00Z date_updated: 2023-09-19T10:42:53Z day: '23' department: - _id: DaAl doi: 10.1145/3212734.3212763 external_id: arxiv: - '1803.08841' isi: - '000458186900022' isi: 1 language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1803.08841 month: '07' oa: 1 oa_version: Preprint page: 169-178 publication: Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing - PODC '18 publication_identifier: isbn: - '9781450357951' publication_status: published publisher: ACM Press quality_controlled: '1' scopus_import: '1' status: public title: The convergence of stochastic gradient descent in asynchronous shared memory type: conference user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 year: '2018' ... --- _id: '5860' abstract: - lang: eng text: 'A major problem for evolutionary theory is understanding the so-called open-ended nature of evolutionary change, from its definition to its origins. Open-ended evolution (OEE) refers to the unbounded increase in complexity that seems to characterize evolution on multiple scales. This property seems to be a characteristic feature of biological and technological evolution and is strongly tied to the generative potential associated with combinatorics, which allows the system to grow and expand their available state spaces. Interestingly, many complex systems presumably displaying OEE, from language to proteins, share a common statistical property: the presence of Zipf''s Law. Given an inventory of basic items (such as words or protein domains) required to build more complex structures (sentences or proteins) Zipf''s Law tells us that most of these elements are rare whereas a few of them are extremely common. Using algorithmic information theory, in this paper we provide a fundamental definition for open-endedness, which can be understood as postulates. Its statistical counterpart, based on standard Shannon information theory, has the structure of a variational problem which is shown to lead to Zipf''s Law as the expected consequence of an evolutionary process displaying OEE. We further explore the problem of information conservation through an OEE process and we conclude that statistical information (standard Shannon information) is not conserved, resulting in the paradoxical situation in which the increase of information content has the effect of erasing itself. We prove that this paradox is solved if we consider non-statistical forms of information. This last result implies that standard information theory may not be a suitable theoretical framework to explore the persistence and increase of the information content in OEE systems.' article_number: '20180395' article_processing_charge: No author: - first_name: Bernat full_name: Corominas-Murtra, Bernat id: 43BE2298-F248-11E8-B48F-1D18A9856A87 last_name: Corominas-Murtra orcid: 0000-0001-9806-5643 - first_name: Luís F. full_name: Seoane, Luís F. last_name: Seoane - first_name: Ricard full_name: Solé, Ricard last_name: Solé citation: ama: Corominas-Murtra B, Seoane LF, Solé R. Zipf’s Law, unbounded complexity and open-ended evolution. Journal of the Royal Society Interface. 2018;15(149). doi:10.1098/rsif.2018.0395 apa: Corominas-Murtra, B., Seoane, L. F., & Solé, R. (2018). Zipf’s Law, unbounded complexity and open-ended evolution. Journal of the Royal Society Interface. Royal Society Publishing. https://doi.org/10.1098/rsif.2018.0395 chicago: Corominas-Murtra, Bernat, Luís F. Seoane, and Ricard Solé. “Zipf’s Law, Unbounded Complexity and Open-Ended Evolution.” Journal of the Royal Society Interface. Royal Society Publishing, 2018. https://doi.org/10.1098/rsif.2018.0395. ieee: B. Corominas-Murtra, L. F. Seoane, and R. Solé, “Zipf’s Law, unbounded complexity and open-ended evolution,” Journal of the Royal Society Interface, vol. 15, no. 149. Royal Society Publishing, 2018. ista: Corominas-Murtra B, Seoane LF, Solé R. 2018. Zipf’s Law, unbounded complexity and open-ended evolution. Journal of the Royal Society Interface. 15(149), 20180395. mla: Corominas-Murtra, Bernat, et al. “Zipf’s Law, Unbounded Complexity and Open-Ended Evolution.” Journal of the Royal Society Interface, vol. 15, no. 149, 20180395, Royal Society Publishing, 2018, doi:10.1098/rsif.2018.0395. short: B. Corominas-Murtra, L.F. Seoane, R. Solé, Journal of the Royal Society Interface 15 (2018). date_created: 2019-01-20T22:59:19Z date_published: 2018-12-12T00:00:00Z date_updated: 2023-09-19T10:40:38Z day: '12' department: - _id: EdHa doi: 10.1098/rsif.2018.0395 external_id: arxiv: - '1612.01605' isi: - '000456783800002' intvolume: ' 15' isi: 1 issue: '149' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1612.01605 month: '12' oa: 1 oa_version: Preprint publication: Journal of the Royal Society Interface publication_identifier: issn: - '17425689' publication_status: published publisher: Royal Society Publishing quality_controlled: '1' scopus_import: '1' status: public title: Zipf's Law, unbounded complexity and open-ended evolution type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 15 year: '2018' ... --- _id: '5961' abstract: - lang: eng text: "The area of machine learning has made considerable progress over the past decade, enabled by the widespread availability of large datasets, as well as by improved algorithms and models. Given the large computational demands of machine learning workloads, parallelism, implemented either through single-node concurrency or through multi-node distribution, has been a third key ingredient to advances in machine learning.\r\nThe goal of this tutorial is to provide the audience with an overview of standard distribution techniques in machine learning, with an eye towards the intriguing trade-offs between synchronization and communication costs of distributed machine learning algorithms, on the one hand, and their convergence, on the other.The tutorial will focus on parallelization strategies for the fundamental stochastic gradient descent (SGD) algorithm, which is a key tool when training machine learning models, from classical instances such as linear regression, to state-of-the-art neural network architectures.\r\nThe tutorial will describe the guarantees provided by this algorithm in the sequential case, and then move on to cover both shared-memory and message-passing parallelization strategies, together with the guarantees they provide, and corresponding trade-offs. The presentation will conclude with a broad overview of ongoing research in distributed and concurrent machine learning. The tutorial will assume no prior knowledge beyond familiarity with basic concepts in algebra and analysis.\r\n" article_processing_charge: No author: - first_name: Dan-Adrian full_name: Alistarh, Dan-Adrian id: 4A899BFC-F248-11E8-B48F-1D18A9856A87 last_name: Alistarh orcid: 0000-0003-3650-940X citation: ama: 'Alistarh D-A. A brief tutorial on distributed and concurrent machine learning. In: Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing  - PODC ’18. ACM Press; 2018:487-488. doi:10.1145/3212734.3212798' apa: 'Alistarh, D.-A. (2018). A brief tutorial on distributed and concurrent machine learning. In Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing  - PODC ’18 (pp. 487–488). Egham, United Kingdom: ACM Press. https://doi.org/10.1145/3212734.3212798' chicago: Alistarh, Dan-Adrian. “A Brief Tutorial on Distributed and Concurrent Machine Learning.” In Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing  - PODC ’18, 487–88. ACM Press, 2018. https://doi.org/10.1145/3212734.3212798. ieee: D.-A. Alistarh, “A brief tutorial on distributed and concurrent machine learning,” in Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing  - PODC ’18, Egham, United Kingdom, 2018, pp. 487–488. ista: 'Alistarh D-A. 2018. A brief tutorial on distributed and concurrent machine learning. Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing  - PODC ’18. PODC: Principles of Distributed Computing, 487–488.' mla: Alistarh, Dan-Adrian. “A Brief Tutorial on Distributed and Concurrent Machine Learning.” Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing  - PODC ’18, ACM Press, 2018, pp. 487–88, doi:10.1145/3212734.3212798. short: D.-A. Alistarh, in:, Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing  - PODC ’18, ACM Press, 2018, pp. 487–488. conference: end_date: 2018-07-27 location: Egham, United Kingdom name: 'PODC: Principles of Distributed Computing' start_date: 2018-07-23 date_created: 2019-02-13T09:48:55Z date_published: 2018-07-27T00:00:00Z date_updated: 2023-09-19T10:42:28Z day: '27' department: - _id: DaAl doi: 10.1145/3212734.3212798 external_id: isi: - '000458186900063' isi: 1 language: - iso: eng month: '07' oa_version: None page: 487-488 publication: Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing - PODC '18 publication_identifier: isbn: - '9781450357951' publication_status: published publisher: ACM Press quality_controlled: '1' scopus_import: '1' status: public title: A brief tutorial on distributed and concurrent machine learning type: conference user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 year: '2018' ... --- _id: '5960' abstract: - lang: eng text: In this paper we present a reliable method to verify the existence of loops along the uncertain trajectory of a robot, based on proprioceptive measurements only, within a bounded-error context. The loop closure detection is one of the key points in simultaneous localization and mapping (SLAM) methods, especially in homogeneous environments with difficult scenes recognitions. The proposed approach is generic and could be coupled with conventional SLAM algorithms to reliably reduce their computing burden, thus improving the localization and mapping processes in the most challenging environments such as unexplored underwater extents. To prove that a robot performed a loop whatever the uncertainties in its evolution, we employ the notion of topological degree that originates in the field of differential topology. We show that a verification tool based on the topological degree is an optimal method for proving robot loops. This is demonstrated both on datasets from real missions involving autonomous underwater vehicles and by a mathematical discussion. article_processing_charge: No author: - first_name: Simon full_name: Rohou, Simon last_name: Rohou - first_name: Peter full_name: Franek, Peter id: 473294AE-F248-11E8-B48F-1D18A9856A87 last_name: Franek orcid: 0000-0001-8878-8397 - first_name: Clément full_name: Aubry, Clément last_name: Aubry - first_name: Luc full_name: Jaulin, Luc last_name: Jaulin citation: ama: Rohou S, Franek P, Aubry C, Jaulin L. Proving the existence of loops in robot trajectories. The International Journal of Robotics Research. 2018;37(12):1500-1516. doi:10.1177/0278364918808367 apa: Rohou, S., Franek, P., Aubry, C., & Jaulin, L. (2018). Proving the existence of loops in robot trajectories. The International Journal of Robotics Research. SAGE Publications. https://doi.org/10.1177/0278364918808367 chicago: Rohou, Simon, Peter Franek, Clément Aubry, and Luc Jaulin. “Proving the Existence of Loops in Robot Trajectories.” The International Journal of Robotics Research. SAGE Publications, 2018. https://doi.org/10.1177/0278364918808367. ieee: S. Rohou, P. Franek, C. Aubry, and L. Jaulin, “Proving the existence of loops in robot trajectories,” The International Journal of Robotics Research, vol. 37, no. 12. SAGE Publications, pp. 1500–1516, 2018. ista: Rohou S, Franek P, Aubry C, Jaulin L. 2018. Proving the existence of loops in robot trajectories. The International Journal of Robotics Research. 37(12), 1500–1516. mla: Rohou, Simon, et al. “Proving the Existence of Loops in Robot Trajectories.” The International Journal of Robotics Research, vol. 37, no. 12, SAGE Publications, 2018, pp. 1500–16, doi:10.1177/0278364918808367. short: S. Rohou, P. Franek, C. Aubry, L. Jaulin, The International Journal of Robotics Research 37 (2018) 1500–1516. date_created: 2019-02-13T09:36:20Z date_published: 2018-10-24T00:00:00Z date_updated: 2023-09-19T10:41:59Z day: '24' department: - _id: UlWa doi: 10.1177/0278364918808367 external_id: arxiv: - '1712.01341' isi: - '000456881100004' intvolume: ' 37' isi: 1 issue: '12' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1712.01341 month: '10' oa: 1 oa_version: Preprint page: 1500-1516 publication: The International Journal of Robotics Research publication_identifier: eissn: - 1741-3176 issn: - 0278-3649 publication_status: published publisher: SAGE Publications quality_controlled: '1' scopus_import: '1' status: public title: Proving the existence of loops in robot trajectories type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 37 year: '2018' ... --- _id: '5963' abstract: - lang: eng text: 'There has been significant progress in understanding the parallelism inherent to iterative sequential algorithms: for many classic algorithms, the depth of the dependence structure is now well understood, and scheduling techniques have been developed to exploit this shallow dependence structure for efficient parallel implementations. A related, applied research strand has studied methods by which certain iterative task-based algorithms can be efficiently parallelized via relaxed concurrent priority schedulers. These allow for high concurrency when inserting and removing tasks, at the cost of executing superfluous work due to the relaxed semantics of the scheduler. In this work, we take a step towards unifying these two research directions, by showing that there exists a family of relaxed priority schedulers that can efficiently and deterministically execute classic iterative algorithms such as greedy maximal independent set (MIS) and matching. Our primary result shows that, given a randomized scheduler with an expected relaxation factor of k in terms of the maximum allowed priority inversions on a task, and any graph on n vertices, the scheduler is able to execute greedy MIS with only an additive factor of \poly(k) expected additional iterations compared to an exact (but not scalable) scheduler. This counter-intuitive result demonstrates that the overhead of relaxation when computing MIS is not dependent on the input size or structure of the input graph. Experimental results show that this overhead can be clearly offset by the gain in performance due to the highly scalable scheduler. In sum, we present an efficient method to deterministically parallelize iterative sequential algorithms, with provable runtime guarantees in terms of the number of executed tasks to completion.' article_processing_charge: No author: - first_name: Dan-Adrian full_name: Alistarh, Dan-Adrian id: 4A899BFC-F248-11E8-B48F-1D18A9856A87 last_name: Alistarh orcid: 0000-0003-3650-940X - first_name: Trevor A full_name: Brown, Trevor A id: 3569F0A0-F248-11E8-B48F-1D18A9856A87 last_name: Brown - first_name: Justin full_name: Kopinsky, Justin last_name: Kopinsky - first_name: Giorgi full_name: Nadiradze, Giorgi last_name: Nadiradze citation: ama: 'Alistarh D-A, Brown TA, Kopinsky J, Nadiradze G. Relaxed schedulers can efficiently parallelize iterative algorithms. In: Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing  - PODC ’18. ACM Press; 2018:377-386. doi:10.1145/3212734.3212756' apa: 'Alistarh, D.-A., Brown, T. A., Kopinsky, J., & Nadiradze, G. (2018). Relaxed schedulers can efficiently parallelize iterative algorithms. In Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing  - PODC ’18 (pp. 377–386). Egham, United Kingdom: ACM Press. https://doi.org/10.1145/3212734.3212756' chicago: Alistarh, Dan-Adrian, Trevor A Brown, Justin Kopinsky, and Giorgi Nadiradze. “Relaxed Schedulers Can Efficiently Parallelize Iterative Algorithms.” In Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing  - PODC ’18, 377–86. ACM Press, 2018. https://doi.org/10.1145/3212734.3212756. ieee: D.-A. Alistarh, T. A. Brown, J. Kopinsky, and G. Nadiradze, “Relaxed schedulers can efficiently parallelize iterative algorithms,” in Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing  - PODC ’18, Egham, United Kingdom, 2018, pp. 377–386. ista: 'Alistarh D-A, Brown TA, Kopinsky J, Nadiradze G. 2018. Relaxed schedulers can efficiently parallelize iterative algorithms. Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing  - PODC ’18. PODC: Principles of Distributed Computing, 377–386.' mla: Alistarh, Dan-Adrian, et al. “Relaxed Schedulers Can Efficiently Parallelize Iterative Algorithms.” Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing  - PODC ’18, ACM Press, 2018, pp. 377–86, doi:10.1145/3212734.3212756. short: D.-A. Alistarh, T.A. Brown, J. Kopinsky, G. Nadiradze, in:, Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing  - PODC ’18, ACM Press, 2018, pp. 377–386. conference: end_date: 2018-07-27 location: Egham, United Kingdom name: 'PODC: Principles of Distributed Computing' start_date: 2018-07-23 date_created: 2019-02-13T10:03:25Z date_published: 2018-07-23T00:00:00Z date_updated: 2023-09-19T10:43:21Z day: '23' department: - _id: DaAl doi: 10.1145/3212734.3212756 external_id: arxiv: - '1808.04155' isi: - '000458186900048' isi: 1 language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1808.04155 month: '07' oa: 1 oa_version: Preprint page: 377-386 publication: Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing - PODC '18 publication_identifier: isbn: - '9781450357951' publication_status: published publisher: ACM Press quality_controlled: '1' scopus_import: '1' status: public title: Relaxed schedulers can efficiently parallelize iterative algorithms type: conference user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 year: '2018' ... --- _id: '5965' abstract: - lang: eng text: Relaxed concurrent data structures have become increasingly popular, due to their scalability in graph processing and machine learning applications (\citeNguyen13, gonzalez2012powergraph ). Despite considerable interest, there exist families of natural, high performing randomized relaxed concurrent data structures, such as the popular MultiQueue~\citeMQ pattern for implementing relaxed priority queue data structures, for which no guarantees are known in the concurrent setting~\citeAKLN17. Our main contribution is in showing for the first time that, under a set of analytic assumptions, a family of relaxed concurrent data structures, including variants of MultiQueues, but also a new approximate counting algorithm we call the MultiCounter, provides strong probabilistic guarantees on the degree of relaxation with respect to the sequential specification, in arbitrary concurrent executions. We formalize these guarantees via a new correctness condition called distributional linearizability, tailored to concurrent implementations with randomized relaxations. Our result is based on a new analysis of an asynchronous variant of the classic power-of-two-choices load balancing algorithm, in which placement choices can be based on inconsistent, outdated information (this result may be of independent interest). We validate our results empirically, showing that the MultiCounter algorithm can implement scalable relaxed timestamps. article_processing_charge: No author: - first_name: Dan-Adrian full_name: Alistarh, Dan-Adrian id: 4A899BFC-F248-11E8-B48F-1D18A9856A87 last_name: Alistarh orcid: 0000-0003-3650-940X - first_name: Trevor A full_name: Brown, Trevor A id: 3569F0A0-F248-11E8-B48F-1D18A9856A87 last_name: Brown - first_name: Justin full_name: Kopinsky, Justin last_name: Kopinsky - first_name: Jerry Z. full_name: Li, Jerry Z. last_name: Li - first_name: Giorgi full_name: Nadiradze, Giorgi last_name: Nadiradze citation: ama: 'Alistarh D-A, Brown TA, Kopinsky J, Li JZ, Nadiradze G. Distributionally linearizable data structures. In: Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures  - SPAA ’18. ACM Press; 2018:133-142. doi:10.1145/3210377.3210411' apa: 'Alistarh, D.-A., Brown, T. A., Kopinsky, J., Li, J. Z., & Nadiradze, G. (2018). Distributionally linearizable data structures. In Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures  - SPAA ’18 (pp. 133–142). Vienna, Austria: ACM Press. https://doi.org/10.1145/3210377.3210411' chicago: Alistarh, Dan-Adrian, Trevor A Brown, Justin Kopinsky, Jerry Z. Li, and Giorgi Nadiradze. “Distributionally Linearizable Data Structures.” In Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures  - SPAA ’18, 133–42. ACM Press, 2018. https://doi.org/10.1145/3210377.3210411. ieee: D.-A. Alistarh, T. A. Brown, J. Kopinsky, J. Z. Li, and G. Nadiradze, “Distributionally linearizable data structures,” in Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures  - SPAA ’18, Vienna, Austria, 2018, pp. 133–142. ista: 'Alistarh D-A, Brown TA, Kopinsky J, Li JZ, Nadiradze G. 2018. Distributionally linearizable data structures. Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures  - SPAA ’18. SPAA: Symposium on Parallelism in Algorithms and Architectures, 133–142.' mla: Alistarh, Dan-Adrian, et al. “Distributionally Linearizable Data Structures.” Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures  - SPAA ’18, ACM Press, 2018, pp. 133–42, doi:10.1145/3210377.3210411. short: D.-A. Alistarh, T.A. Brown, J. Kopinsky, J.Z. Li, G. Nadiradze, in:, Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures  - SPAA ’18, ACM Press, 2018, pp. 133–142. conference: end_date: 2018-07-18 location: Vienna, Austria name: 'SPAA: Symposium on Parallelism in Algorithms and Architectures' start_date: 2018-07-16 date_created: 2019-02-13T10:17:19Z date_published: 2018-07-16T00:00:00Z date_updated: 2023-09-19T10:44:13Z day: '16' department: - _id: DaAl doi: 10.1145/3210377.3210411 external_id: arxiv: - '1804.01018' isi: - '000545269600016' isi: 1 language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1804.01018 month: '07' oa: 1 oa_version: Preprint page: 133-142 publication: Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures - SPAA '18 publication_identifier: isbn: - '9781450357999' publication_status: published publisher: ACM Press quality_controlled: '1' related_material: record: - id: '10429' relation: dissertation_contains status: public scopus_import: '1' status: public title: Distributionally linearizable data structures type: conference user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 year: '2018' ... --- _id: '5967' abstract: - lang: eng text: "The Big Match is a multi-stage two-player game. In each stage Player 1 hides one or two pebbles in his hand, and his opponent has to guess that number; Player 1 loses a point if Player 2 is correct, and otherwise he wins a point. As soon as Player 1 hides one pebble, the players cannot change their choices in any future stage.\r\nBlackwell and Ferguson (1968) give an ε-optimal strategy for Player 1 that hides, in each stage, one pebble with a probability that depends on the entire past history. Any strategy that depends just on the clock or on a finite memory is worthless. The long-standing natural open problem has been whether every strategy that depends just on the clock and a finite memory is worthless. We prove that there is such a strategy that is ε-optimal. In fact, we show that just two states of memory are sufficient.\r\n" article_processing_charge: No author: - first_name: Kristoffer Arnsfelt full_name: Hansen, Kristoffer Arnsfelt last_name: Hansen - first_name: Rasmus full_name: Ibsen-Jensen, Rasmus id: 3B699956-F248-11E8-B48F-1D18A9856A87 last_name: Ibsen-Jensen orcid: 0000-0003-4783-0389 - first_name: Abraham full_name: Neyman, Abraham last_name: Neyman citation: ama: 'Hansen KA, Ibsen-Jensen R, Neyman A. The Big Match with a clock and a bit of memory. In: Proceedings of the 2018 ACM Conference on Economics and Computation  - EC ’18. ACM Press; 2018:149-150. doi:10.1145/3219166.3219198' apa: 'Hansen, K. A., Ibsen-Jensen, R., & Neyman, A. (2018). The Big Match with a clock and a bit of memory. In Proceedings of the 2018 ACM Conference on Economics and Computation  - EC ’18 (pp. 149–150). Ithaca, NY, United States: ACM Press. https://doi.org/10.1145/3219166.3219198' chicago: Hansen, Kristoffer Arnsfelt, Rasmus Ibsen-Jensen, and Abraham Neyman. “The Big Match with a Clock and a Bit of Memory.” In Proceedings of the 2018 ACM Conference on Economics and Computation  - EC ’18, 149–50. ACM Press, 2018. https://doi.org/10.1145/3219166.3219198. ieee: K. A. Hansen, R. Ibsen-Jensen, and A. Neyman, “The Big Match with a clock and a bit of memory,” in Proceedings of the 2018 ACM Conference on Economics and Computation  - EC ’18, Ithaca, NY, United States, 2018, pp. 149–150. ista: 'Hansen KA, Ibsen-Jensen R, Neyman A. 2018. The Big Match with a clock and a bit of memory. Proceedings of the 2018 ACM Conference on Economics and Computation  - EC ’18. EC: Conference on Economics and Computation, 149–150.' mla: Hansen, Kristoffer Arnsfelt, et al. “The Big Match with a Clock and a Bit of Memory.” Proceedings of the 2018 ACM Conference on Economics and Computation  - EC ’18, ACM Press, 2018, pp. 149–50, doi:10.1145/3219166.3219198. short: K.A. Hansen, R. Ibsen-Jensen, A. Neyman, in:, Proceedings of the 2018 ACM Conference on Economics and Computation  - EC ’18, ACM Press, 2018, pp. 149–150. conference: end_date: 2018-06-22 location: Ithaca, NY, United States name: 'EC: Conference on Economics and Computation' start_date: 2018-06-18 date_created: 2019-02-13T10:31:41Z date_published: 2018-06-18T00:00:00Z date_updated: 2023-09-19T10:45:15Z day: '18' ddc: - '000' department: - _id: KrCh doi: 10.1145/3219166.3219198 external_id: isi: - '000492755100020' file: - access_level: open_access checksum: bb52683e349cfd864f4769a8f38f2798 content_type: application/pdf creator: dernst date_created: 2019-11-19T08:24:24Z date_updated: 2020-07-14T12:47:14Z file_id: '7054' file_name: 2018_EC18_Hansen.pdf file_size: 302539 relation: main_file file_date_updated: 2020-07-14T12:47:14Z has_accepted_license: '1' isi: 1 language: - iso: eng month: '06' oa: 1 oa_version: Submitted Version page: 149-150 publication: Proceedings of the 2018 ACM Conference on Economics and Computation - EC '18 publication_identifier: isbn: - '9781450358293' publication_status: published publisher: ACM Press quality_controlled: '1' scopus_import: '1' status: public title: The Big Match with a clock and a bit of memory type: conference user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 year: '2018' ... --- _id: '5966' abstract: - lang: eng text: 'The transactional conflict problem arises in transactional systems whenever two or more concurrent transactions clash on a data item. While the standard solution to such conflicts is to immediately abort one of the transactions, some practical systems consider the alternative of delaying conflict resolution for a short interval, which may allow one of the transactions to commit. The challenge in the transactional conflict problem is to choose the optimal length of this delay interval so as to minimize the overall running time penalty for the conflicting transactions. In this paper, we propose a family of optimal online algorithms for the transactional conflict problem. Specifically, we consider variants of this problem which arise in different implementations of transactional systems, namely "requestor wins'''' and "requestor aborts'''' implementations: in the former, the recipient of a coherence request is aborted, whereas in the latter, it is the requestor which has to abort. Both strategies are implemented by real systems. We show that the requestor aborts case can be reduced to a classic instance of the ski rental problem, while the requestor wins case leads to a new version of this classical problem, for which we derive optimal deterministic and randomized algorithms. Moreover, we prove that, under a simplified adversarial model, our algorithms are constant-competitive with the offline optimum in terms of throughput. We validate our algorithmic results empirically through a hardware simulation of hardware transactional memory (HTM), showing that our algorithms can lead to non-trivial performance improvements for classic concurrent data structures.' article_processing_charge: No author: - first_name: Dan-Adrian full_name: Alistarh, Dan-Adrian id: 4A899BFC-F248-11E8-B48F-1D18A9856A87 last_name: Alistarh orcid: 0000-0003-3650-940X - first_name: Syed Kamran full_name: Haider, Syed Kamran last_name: Haider - first_name: Raphael full_name: Kübler, Raphael last_name: Kübler - first_name: Giorgi full_name: Nadiradze, Giorgi last_name: Nadiradze citation: ama: 'Alistarh D-A, Haider SK, Kübler R, Nadiradze G. The transactional conflict problem. In: Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures  - SPAA ’18. ACM Press; 2018:383-392. doi:10.1145/3210377.3210406' apa: 'Alistarh, D.-A., Haider, S. K., Kübler, R., & Nadiradze, G. (2018). The transactional conflict problem. In Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures  - SPAA ’18 (pp. 383–392). Vienna, Austria: ACM Press. https://doi.org/10.1145/3210377.3210406' chicago: Alistarh, Dan-Adrian, Syed Kamran Haider, Raphael Kübler, and Giorgi Nadiradze. “The Transactional Conflict Problem.” In Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures  - SPAA ’18, 383–92. ACM Press, 2018. https://doi.org/10.1145/3210377.3210406. ieee: D.-A. Alistarh, S. K. Haider, R. Kübler, and G. Nadiradze, “The transactional conflict problem,” in Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures  - SPAA ’18, Vienna, Austria, 2018, pp. 383–392. ista: 'Alistarh D-A, Haider SK, Kübler R, Nadiradze G. 2018. The transactional conflict problem. Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures  - SPAA ’18. SPAA: Symposium on Parallelism in Algorithms and Architectures, 383–392.' mla: Alistarh, Dan-Adrian, et al. “The Transactional Conflict Problem.” Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures  - SPAA ’18, ACM Press, 2018, pp. 383–92, doi:10.1145/3210377.3210406. short: D.-A. Alistarh, S.K. Haider, R. Kübler, G. Nadiradze, in:, Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures  - SPAA ’18, ACM Press, 2018, pp. 383–392. conference: end_date: 2018-07-18 location: Vienna, Austria name: 'SPAA: Symposium on Parallelism in Algorithms and Architectures' start_date: 2018-07-16 date_created: 2019-02-13T10:26:07Z date_published: 2018-07-16T00:00:00Z date_updated: 2023-09-19T10:44:49Z day: '16' department: - _id: DaAl doi: 10.1145/3210377.3210406 external_id: arxiv: - '1804.00947' isi: - '000545269600046' isi: 1 language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1804.00947 month: '07' oa: 1 oa_version: Preprint page: 383-392 publication: Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures - SPAA '18 publication_identifier: isbn: - '9781450357999' publication_status: published publisher: ACM Press quality_controlled: '1' scopus_import: '1' status: public title: The transactional conflict problem type: conference user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 year: '2018' ... --- _id: '5975' abstract: - lang: eng text: We consider the recent formulation of the algorithmic Lov ́asz Local Lemma [N. Har-vey and J. Vondr ́ak, inProceedings of FOCS, 2015, pp. 1327–1345; D. Achlioptas and F. Iliopoulos,inProceedings of SODA, 2016, pp. 2024–2038; D. Achlioptas, F. Iliopoulos, and V. Kolmogorov,ALocal Lemma for Focused Stochastic Algorithms, arXiv preprint, 2018] for finding objects that avoid“bad features,” or “flaws.” It extends the Moser–Tardos resampling algorithm [R. A. Moser andG. Tardos,J. ACM, 57 (2010), 11] to more general discrete spaces. At each step the method picks aflaw present in the current state and goes to a new state according to some prespecified probabilitydistribution (which depends on the current state and the selected flaw). However, the recent formu-lation is less flexible than the Moser–Tardos method since it requires a specific flaw selection rule,whereas the algorithm of Moser and Tardos allows an arbitrary rule (and thus can potentially beimplemented more efficiently). We formulate a new “commutativity” condition and prove that it issufficient for an arbitrary rule to work. It also enables an efficient parallelization under an additionalassumption. We then show that existing resampling oracles for perfect matchings and permutationsdo satisfy this condition. article_processing_charge: No author: - first_name: Vladimir full_name: Kolmogorov, Vladimir id: 3D50B0BA-F248-11E8-B48F-1D18A9856A87 last_name: Kolmogorov citation: ama: Kolmogorov V. Commutativity in the algorithmic Lovász local lemma. SIAM Journal on Computing. 2018;47(6):2029-2056. doi:10.1137/16m1093306 apa: Kolmogorov, V. (2018). Commutativity in the algorithmic Lovász local lemma. SIAM Journal on Computing. Society for Industrial & Applied Mathematics (SIAM). https://doi.org/10.1137/16m1093306 chicago: Kolmogorov, Vladimir. “Commutativity in the Algorithmic Lovász Local Lemma.” SIAM Journal on Computing. Society for Industrial & Applied Mathematics (SIAM), 2018. https://doi.org/10.1137/16m1093306. ieee: V. Kolmogorov, “Commutativity in the algorithmic Lovász local lemma,” SIAM Journal on Computing, vol. 47, no. 6. Society for Industrial & Applied Mathematics (SIAM), pp. 2029–2056, 2018. ista: Kolmogorov V. 2018. Commutativity in the algorithmic Lovász local lemma. SIAM Journal on Computing. 47(6), 2029–2056. mla: Kolmogorov, Vladimir. “Commutativity in the Algorithmic Lovász Local Lemma.” SIAM Journal on Computing, vol. 47, no. 6, Society for Industrial & Applied Mathematics (SIAM), 2018, pp. 2029–56, doi:10.1137/16m1093306. short: V. Kolmogorov, SIAM Journal on Computing 47 (2018) 2029–2056. date_created: 2019-02-13T12:59:33Z date_published: 2018-11-08T00:00:00Z date_updated: 2023-09-19T14:24:58Z day: '08' department: - _id: VlKo doi: 10.1137/16m1093306 ec_funded: 1 external_id: arxiv: - '1506.08547' isi: - '000453785100001' intvolume: ' 47' isi: 1 issue: '6' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1506.08547 month: '11' oa: 1 oa_version: Preprint page: 2029-2056 project: - _id: 25FBA906-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '616160' name: 'Discrete Optimization in Computer Vision: Theory and Practice' publication: SIAM Journal on Computing publication_identifier: eissn: - 1095-7111 issn: - 0097-5397 publication_status: published publisher: Society for Industrial & Applied Mathematics (SIAM) quality_controlled: '1' related_material: record: - id: '1193' relation: earlier_version status: public scopus_import: '1' status: public title: Commutativity in the algorithmic Lovász local lemma type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 47 year: '2018' ...