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检索条件"任意字段=Proceedings of the 2014 ACM symposium on Principles of distributed computing"

共 1382 条记录，以下是21-30 订阅

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COMPSO: Optimizing Gradient Compression for distributed Training with Second-Order Optimizers 25

COMPSO: Optimizing Gradient Compression for Distributed Trai...

引用

30th symposium on principles and Practice of Parallel Programming

作者： Sun, Baixi Liu, Weijin Pauloski, J. Gregory Tian, Jiannan Jia, Jinda Wang, Daoce Zhang, Boyuan Zheng, Mingkai Di, Sheng Jin, Sian Zhang, Zhao Yu, Xiaodong Iskra, Kamil A. Beckman, Pete Tan, Guangming Tao, Dingwen Indiana Univ Bloomington IN USA Stevens Inst Technol Hoboken NJ USA Univ Chicago Chicago IL USA Rutgers State Univ New Brunswick NJ USA Argonne Natl Lab Lemont IL USA Temple Univ Philadelphia PA USA Northwestern Univ Evanston IL USA Univ Chinese Acad Sci Beijing Peoples R China

ISBN: (纸本)9798400714436

Second-order optimization methods have been developed to enhance convergence and generalization in deep neural network (DNN) training compared to first-order methods like Stochastic Gradient Descent (SGD). However, these methods face challenges in distributed settings due to high communication overhead. Gradient compression, a technique commonly used to accelerate communication for first-order approaches, often results in low communication reduction ratios, decreased model accuracy, and/or high compression overhead when applied to second-order methods. To address these limitations, we introduce a novel gradient compression method for second-order optimizers called COMPSO. This method effectively reduces communication costs while preserving the advantages of second-order optimization. COMPSO employs stochastic rounding to maintain accuracy and filters out minor gradients to improve compression ratios. Additionally, we develop GPU optimizations to minimize compression overhead and performance modeling to ensure end-to-end performance gains across various systems. Evaluation of COMPSO on different DNN models shows that it achieves a compression ratio of 22.1x, reduces communication time by 14.2x, and improves overall performance by 1.9x, all without any drop in model accuracy.

关键词： Deep learning distributed training second-order optimization K-FAC data compression

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Brief Announcement: Understanding Read-Write Wait-Free Coverings in the Fully-Anonymous Shared-Memory Model 24

Brief Announcement: Understanding Read-Write Wait-Free Cover...

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43rd acm SIGACT-SIGOPS symposium on principles of distributed computing, PODC 2024

作者： Losa, Giuliano Gafni, Eli Stellar Development Foundation San FranciscoCA United States University of California Los Angeles Los AngelesCA United States

ISBN: (纸本)9798400706684

In the fully-anonymous (shared-memory) model, inspired by a biological setting, processors have no identifiers and memory locations are anonymous, meaning there is no pre-existing agreement among processors on any naming of the memory locations. In this work, we ask fundamental questions about the fully-anonymous model in the hope to obtain a better understanding of the role of naming and anonymity in distributed ***, we ask what it means to solve a task under processor anonymity. With tasks such as renaming, the traditional notion obviously does not apply. Instead of restricting ourselves to colorless tasks, we propose using the notion of group solvability, which allows transferring any task to processor-anonymous ***, the difficulty with anonymity is that processors can hardly avoid covering and then overwriting each other's writes, erasing information written by their predecessors. To get to the bottom of this phenomenon, we ask what system configurations are stable when processors keep reading and writing ad infinitum. Resolving this question leads us to a wait-free solution to the snapshot task, which then allows us to solve renaming and obstruction-free consensus. © 2024 Association for computing Machinery. All rights reserved.

关键词： distributed computer systems

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Brief Announcement: What CanWe Compute in a Single Round of the Congested Clique? 23

Brief Announcement: What CanWe Compute in a Single Round of ...

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42nd acm SIGACT-SIGOPS symposium on principles of distributed computing (PODC)

作者： Robinson, Peter Augusta Univ Sch Comp & Cyber Sci Augusta GA 30912 USA

ISBN: (纸本)9798400701214

We show that any one-round algorithm that computes a minimum spanning tree (MST) in the unicast congested clique must use a link bandwidth of Omega( log(3) n) bits in the worst case. Consequently, computing an MST under the standard assumption of O (log n)-size messages requires at least 2 rounds. This is the first round complexity lower bound in the unicast congested clique for a problem where the output size is small, i.e., O (n log n) bits. Our lower bound holds as long as every edge of the MST is output by an incident node. To the best of our knowledge, all prior lower bounds for the unicast congested clique either considered problems with large output sizes (e.g., subgraph enumeration) or required every node to learn the entire output.

关键词： Congested clique distributed graph algorithm lower bound

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A Near-Optimal Low-Energy Deterministic distributed SSSP with Ramifications on Congestion and APSP 24

A Near-Optimal Low-Energy Deterministic Distributed SSSP wit...

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43rd acm SIGACT-SIGOPS symposium on principles of distributed computing, PODC 2024

作者： Ghaffari, Mohsen Trygub, Anton Mit CambridgeMA United States

ISBN: (纸本)9798400706684

We present a low-energy deterministic distributed algorithm that computes exact Single-Source Shortest Paths (SSSP) in near-optimal time: it runs in Õ(n) rounds and each node is awake during only poly(log n) rounds. When a node is not awake, it performs no computations or communications and spends no *** general approach we take along the way to this result can be viewed as a novel adaptation of Dijkstra's classic approach to SSSP, which makes it suitable for the distributed setting. Notice that Dijkstra's algorithm itself is not efficient in the distributed setting due to its need for repeatedly computing the minimum-distance unvisited node in the entire network. Our adapted approach has other implications, as we outline *** a step toward the above end-result, we obtain a simple deterministic algorithm for exact SSSP with near-optimal time and message complexities of Õ(n) and Õ(m), in which each edge communicates only poly(log n) messages. Therefore, one can simultaneously run n instances of it for n sources, using a simple random delay scheduling. That computes All Pairs Shortest Paths (APSP) in the near-optimal time complexity of Õ(n). This algorithm matches the complexity of the recent APSP algorithm of Bernstein and Nanongkai [STOC 2019] using a completely different method (and one that is more modular, in the sense that the SSSPs are solved independently). It also takes a step toward resolving the open problem on a deterministic Õ(n)-time APSP, as the only randomness used now is in the scheduling. © 2024 Association for computing Machinery. All rights reserved.

关键词： Graph theory

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Brief Announcement: Population Protocols Decide Double-exponential Thresholds 23

Brief Announcement: Population Protocols Decide Double-expon...

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42nd acm SIGACT-SIGOPS symposium on principles of distributed computing (PODC)

作者： Czerner, Philipp Tech Univ Munich Munich Germany

ISBN: (纸本)9798400701214

Population protocols are a model of distributed computation in which finite-state agents interact randomly in pairs. A protocol decides for any initial configuration whether it satisfies a fixed property, specified as a predicate on the set of configurations. A family of protocols deciding predicates phi(n) is succinct if it uses O(|phi(n)|) states, where phi n is encoded as quantifier-free Presburger formula with coefficients in binary. (All predicates decidable by population protocols can be encoded in this manner.) While it is known that succinct protocols exist for all predicates, it is open whether protocols with O (|phi(n)|) states exist for any family of predicates phi(n). We answer this affirmatively, by constructing protocols with O( log |phi(n)|) states for some family of threshold predicates phi(n) (x) double left right arrow x >= k(n), with k1, k2,.. is an element of N. (In other words, protocols with O(n) states that decide x >= k for a k >= 2(2n)) This matches a known lower bound. Moreover, our construction is the first that is not 1-aware, making it robust against some types of errors.

关键词： distributed computing population protocols space complexity

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38th International symposium on distributed computing, DISC 2024

38th International Symposium on Distributed Computing, DISC ...

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38th International symposium on distributed computing, DISC 2024

ISBN: (纸本)9783959773522

The proceedings contain 55 papers. The topics discussed include: fully local succinct distributed arguments;a knowledge-based analysis of intersection protocols;byzantine resilient distributed computing on external data;almost optimal algorithms for token collision in anonymous networks;asynchronous fault-tolerant distributed proper coloring of graphs;hyperproperty-preserving register specifications;vertical atomic broadcast and passive replication;what cannot be implemented on weak memory?;faster cycle detection in the congested clique;efficient signature-free validated agreement;convex consensus with asynchronous fallback;a simple computability theorem for colorless tasks in submodels of the iterated immediate snapshot;and on the limits of information spread by memory-less agents.

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Deterministic Fault-Tolerant distributed computing in Linear Time and Communication 23

Deterministic Fault-Tolerant Distributed Computing in Linear...

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42nd acm SIGACT-SIGOPS symposium on principles of distributed computing (PODC)

作者： Chlebus, Bogdan S. Kowalski, Dariusz R. Olkowski, Jan Augusta Univ Augusta GA 30912 USA Univ Maryland Baltimore MD 21201 USA

ISBN: (纸本)9798400701214

We develop deterministic algorithms for the problems of consensus, gossiping and checkpointing with nodes prone to failing. distributed systems are modeled as synchronous complete networks. Failures are represented either as crashes or Byzantine faults with authentication. The algorithmic goal is to have both linear running time and linear amount of communication for as large an upper bound t on the number of faults as possible, with respect to the number of nodes n. For crash failures, these bounds of optimality are t = O (n/log n) for consensus and t = O (n/log(2) n) for gossiping and checkpointing. For the model of Byzantine faults with authentication, we show how to reach consensus in both linear running time and communication for t = O(root n). We show how to implement the consensus algorithm for crash failures in the single-port model such as to preserve the range of t for which both the running time and communication are optimal. We prove a lower bound Omega(l +log n) on the running time of algorithms for each of the considered problems.

关键词： crash failure Byzantine fault authentication consensus check-pointing gossiping Ramanujan graph lower bound

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Brief Announcement: Massively Parallel Ruling Set Made Deterministic 24

Brief Announcement: Massively Parallel Ruling Set Made Deter...

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43rd acm SIGACT-SIGOPS symposium on principles of distributed computing, PODC 2024

作者： Giliberti, Jeff Parsaeian, Zahra University of Maryland United States University of Freiburg Germany

ISBN: (纸本)9798400706684

We study the deterministic complexity of the 2-Ruling Set problem in the model of Massively Parallel Computation (MPC) with linear and strongly sublinear local *** MPC: We present a constant-round deterministic algorithm for the 2-Ruling Set problem that matches the randomized round complexity recently settled by Cambus, Kuhn, Pai, and Uitto [DISC'23], and improves upon the deterministic O(log log n)-round algorithm by Pai and Pemmaraju [PODC'22]. Our main ingredient is a simpler analysis of CKPU's algorithm based solely on bounded independence, which makes its efficient derandomization *** MPC: We present a deterministic algorithm that computes a 2-Ruling Set in [EQUATION] rounds deterministically. Notably, this is the first deterministic ruling set algorithm with sublogarithmic round complexity, improving on the O(log δ+log log∗n)-round complexity that stems from the deterministic MIS algorithm of Czumaj, Davies, and Parter [TALG'21]. Our result is based on a simple and fast randomness-efficient construction that achieves the same sparsification as that of the randomized [EQUATION]-round LOCAL algorithm by Kothapalli and Pemmaraju [FSTTCS'12]. © 2024 Association for computing Machinery. All rights reserved.

关键词： distributed computer systems

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The Complexity of distributed Approximation of Packing and Covering Integer Linear Programs 23

The Complexity of Distributed Approximation of Packing and C...

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42nd acm SIGACT-SIGOPS symposium on principles of distributed computing (PODC)

作者： Chang, Yi-Jun Li, Zeyong Natl Univ Singapore Singapore Singapore Natl Univ Singapore CQT Singapore Singapore

ISBN: (纸本)9798400701214

In this paper, we present a low-diameter decomposition algorithm in the LOCAL model of distributed computing that succeeds with probability 1 - 1/poly(n). Specifically, we show how to compute an (is an element of,O(logn/is an element of)) low-diameter decomposition in O(log(3) (1/is an element of) log n/is an element of) rounds. Further developing our techniques, we show new distributed algorithms for approximating general packing and covering integer linear programs in the LOCAL model. For packing problems, our algorithm finds an (1 - epsilon)-approximate solution in O(log(3) (1/epsilon) logn/epsilon) rounds with probability 1 - 1/poly(n). For covering problems, our algorithm finds an ( 1+epsilon)-approximate solution in O ((log logn+log(1/epsilon))(3) logn/epsilon) rounds with probability 1 - 1/poly(n). These results improve upon the previous O (log(3) n/epsilon) -round algorithm by Ghaffari, Kuhn, and Maus [STOC 2017] which is based on network decompositions. Our algorithms are near-optimal for many fundamental combinatorial graph optimization problems in the LOCAL model, such as minimum vertex cover and minimum dominating set, as their ( 1 +/-epsilon)-approximate solutions require Omega (logn/epsilon) rounds to compute.

关键词： distributed approximation low-diameter decomposition LOCAL model

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distributed MIS with Low Energy and Time Complexities 23

Distributed MIS with Low Energy and Time Complexities

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42nd acm SIGACT-SIGOPS symposium on principles of distributed computing (PODC)

作者： Ghaffari, Mohsen Portmann, Julian MIT Cambridge MA 02139 USA Swiss Fed Inst Technol Zurich Switzerland

ISBN: (纸本)9798400701214

We present randomized distributed algorithms for the maximal independent set problem (MIS) that, while keeping the time complexity nearly matching the best known, reduce the energy complexity substantially. These algorithms work in the standard CONGEST model of distributed message passing with O (log n) bit messages. The time complexity measures the number of rounds in the algorithm. The energy complexity measures the number of rounds each node is awake;during other rounds, the node sleeps and cannot perform any computation or communications. Our first algorithm has an energy complexity of O (log log n) and a time complexity of O ( log(2) n). Our second algorithm is faster but slightly less energy-efficient: it achieves an energy complexity of O (log(2) log n) and a time complexity of O (log n center dot log log n center dot log* n). Thus, this algorithm nearly matches the O (log n) time complexity of the state-of-the-art MIS algorithms while significantly reducing their energy complexity from O (log n) to O ( log(2) log n).

关键词： Maximal Independent Set MIS sleeping model worst-case energy complexity energy complexity awake complexity round complexity energy-efficiency distributed algorithms

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