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检索条件"任意字段=8th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing"

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Proof of Useful Work Based on Matrix Computation 24

Proof of Useful Work Based on Matrix Computation

引用

24th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Dragos, Cojocaru Univ Alexandru Ioan Cuza Iasi Romania

ISBN: (纸本)9781665465458

Due to the inherently wasteful nature of traditional proof of work mechanisms in blockchain networks, researchers are motivated to find alternatives that can make use of the computational power expended in the process. there are a number of such applications, however most of them target very specific problems, and few are proven to work in practice. this paper presents a proof of work mechanism based on matrix computation, serving a much wider range of applications while serving as the consensus mechanism of a blockchain network. I will cover the current research in the proof of useful work area, and focus on Proof of eXercise (PoX), another mechanism based on matrix computation. Proof of Computation (PoC), the consensus mechanism described in this paper, is a redesigned version of PoX. the mechanism is backed by a series of experiments that confirm the functionality of the protocol.

关键词： proof of work blockchain matrix computation distributed computing consensus proof of useful work

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Hybrid Intervals and symbolic Block Matrices 25

Hybrid Intervals and Symbolic Block Matrices

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25th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Ghesquiere, Mike Watt, Stephen M. Univ Western Ontario Comp Sci Dept London ON Canada Univ Waterloo Cheriton Sch Comp Sci Waterloo ON Canada Joy Life Inc 407 Duarte Rd E Arcadia CA 91006 USA

ISBN: (纸本)9798350394139;9798350394122

Structured matrices with symbolic sizes appear frequently in the literature, especially in the description of algorithms for linear algebra. Recent work has treated these symbolic structured matrices themselves as computational objects, showing how to add matrices with blocks of different symbolic sizes in a general way while avoiding a combinatorial explosion of cases. the present article introduces the concept of hybrid intervals, in which points may have negative multiplicity. Various operations on hybrid intervals have compact and elegant formulations that do not require cases to handle different orders of the end points. this makes them useful to represent symbolic block matrix structures and to express arithmetic on symbolic block matrices compactly. We use these ideas to formulate symbolic block matrix addition and multiplication in a compact and uniform way.

关键词： Block matrix arithmetic Generalized multisets Hybrid intervals Hybrid sets Structured matrices

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A Multi-agent Architecture for Ontology-based Diagnosis of Mental Disorders 17

A Multi-agent Architecture for Ontology-based Diagnosis of M...

引用

17th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Ivascu, Todor Manate, Bogdan Negru, Viorel West Univ Timisoara Dept Comp Sci Fac Math & Informat Bvd V Parvan 4 Timisoara Romania Inst E Austria Timisoara Bvd V Parvan 4 Timisoara Romania

ISBN: (纸本)9781509004614

this paper presents a Multi-agent system that facilitates the remote monitoring of the elderly patients which are susceptible to mental disorder diseases. In order to find early signs of health condition depreciation we have assessed four of the most common mental disorder diseases to find which kind of sensors can detect specific symptoms with the main purpose of creating an early warning system. the diagnosis component is based on an ontology that defines the relations between sensors, symptoms and diseases. Based on these relationships a specialized agent can inform the medical personnel about the detected symptoms.

关键词： Cloud computing Multi-agent architecture e-Health Ontology-based diagnosis Internet of things

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Computation Results of the Riemann Zeta Search Project 20

Computation Results of the Riemann Zeta Search Project

引用

20th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Tihanyi, Norbert Kovacs, Attila Eotvos Lorand Univ Fac Informat Dept Comp Algebra Budapest Hungary

ISBN: (纸本)9781728106250

the paper summarizes the computation results of the Riemann Zeta Search Project. the aim of the project was to find extremely large values of the Riemann zeta function on the critical line. the computing method is based on the RS-PEAK algorithm which was presented in the 16th SYNASC conference in 2014. the computation environment was served by the SZTAKI Desktop Grid operated by the Laboratory of Parallel and Distributed Systems at the Hungarian Academy of Sciences. Applying the RS-Peak algorithm 5597001 candidates were found where large values of the Riemann-Siegel Zfunction are expected. the largest known values are presented and published on the project website https://***.

关键词： Riemann zeta function Distributed computing Large Z(t) values

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Optimization and parallelization of Emedge3D on shared memory architecture

Optimization and parallelization of Emedge3D on shared memor...

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15th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Kuhn, Matthieu Latu, Guillaume Genaud, Stephane Crouseilles, Nicolas Univ Strasbourg Icube CNRS Strasbourg France CEA IRFM F-13108 St Paul Les Durance France Univ Rennes 1 Inria Rennes Bretagne Atlantique IPSO Project IRMARUMR 6625 F-35014 Rennes France

ISBN: (纸本)9781479930357

this paper presents a study of techniques used to speedup a scientific simulation code. the techniques include sequential optimizations as well as the parallelization with OpenMP. this work is carried out on two different multicore shared memory architectures, namely a cutting edge 8x8 core CPU and a more common 2x6 core board. Our target application is representative of many memory bound codes, and the techniques we present show how to overcome the burden of the memory bandwidth limit, which is quickly reached on multi-core or many-core with shared memory architectures. To achieve efficient speedups, strategies are applied to lower the computation costs, and to maximize the use of processors caches. Optimizations are: minimizing memory accesses, simplifying and reordering computations, and tiling loops. On 12 cores processor Intel X5675, aggregation of these optimizations results in an execution time 21.6 faster, compared to the original version on one core.

关键词： shared memory optimization parallelization scientific computing memory bandwidth bound

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Advantages of a neuro-symbolic solution for monitoring IT infrastructures alerts 24

Advantages of a neuro-symbolic solution for monitoring IT in...

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24th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Onchis, Darian M. Istin, Codruta Eduard-Florin, Hogea West Univ Timisoara Dept Comp Sci Timisoara 300223 Romania Politehn Univ Timisoara Dept Computers & IT Timisoara 300006 Romania

ISBN: (纸本)9781665465458

the classification and at the same time the interactive characterization of both bad connections, called alerts or attacks, as well as normal connections, is a must for monitoring network traffic. For this specific task, we developed in this study a neuro-symbolic predictive model based on Logic Tensor Networks. Moreover, we present in detail the advantages and disadvantages of using our hybrid system versus the usage of a standard feed-forward deep neural network classifier. For a relevant comparison, the same dataset was used during training and the metrics resulted have been compared. An overview shows that while both algorithms have similar precision, the hybrid approach gives also the possibility to have interactive explanations and deductive reasoning over data.

关键词： neuro-symbolic model logic tensor networks IT alerts deep learning classifier

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Non-Interleaving Operational Semantics for Geographically Replicated Databases

Non-Interleaving Operational Semantics for Geographically Re...

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15th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Ciobanu, Gabriel Horne, Ross Romanian Acad Inst Comp Sci Iasi 700505 Romania

ISBN: (纸本)9781479930357

For scalable distributed database systems, weak consistency models are essential. Distributed databases, such as Google Spanner, scale to millions of nodes that replicate data across datacentres possibly located on different continents. At this scale, it is infeasible to maintain serialisability, which assumes that a global total order over committed transactions can be established. Instead, weaker consistency models, such as eventual consistency, causal consistency, sequential consistency and external consistency, are assumed. the problem is that operational models, such as labelled transition systems, tend to assume an interleaving semantics, which serialises transactions. To address this limitation, we provide an operational model that allows a weaker notion of consistency for a geographically distributed database inspired by Spanner. We reduce the timing guarantees provided by Spanner's TrueTime protocol to causal dependencies that are specified in a formal calculus.

关键词： Cloud computing distributed databases geo-replication operational semantics distributed databases Cloud computing spanners operational mode replicated databases consistency Consistency (Measurement) Semantics semiotics

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Towards a Clausal Analysis of Proof Schemata 19

Towards a Clausal Analysis of Proof Schemata

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19th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Cerna, David M. Lettmann, Michael Johannes Kepler Univ Linz Res Inst Symbol Computat Linz Austria Tech Univ Wien Inst Informat Syst Vienna Austria

ISBN: (纸本)9781538626269

Proof schemata are a variant of LK-proofs able to simulate various induction schemes in first-order logic by adding so called links to the standard first-order LK-calculus. Links allow proofs to reference other proofs, and thus give schemata a recursive structure. Gentzen style cut-elimination methods, which reduce cuts locally, does not work in the presence of links. However, an alternative method, such as cut-elimination by resolution (CERES), which eliminate cuts globally, is able to reduce cuts over the entire recursive structure simultaneously. Unfortunately, analysis of the cut structure of a proof after partial cut-elimination is non-trivial. By extending local methods to proof schemata, we provide such an analysis.

关键词： Calculus Standards Redundancy Complexity theory scientific computing Information systems Tools

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A web version of TARSKI, a system for computing with Tarski formulas and semialgebraic sets 24

A web version of TARSKI, a system for computing with Tarski ...

引用

24th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Kovacs, Zoltan Brown, Christopher W. Recio, Tomas Vajda, Robert Priv Univ Coll Educ Diocese Linz Linz Austria US Naval Acad Annapolis MD USA Univ Antonio de Nebrija Madrid Spain Johannes Kepler Univ Linz Linz Austria

ISBN: (纸本)9781665465458

We report on successfully porting and making available online TARSKI, a system for computing with Tarski formulas (Boolean combinations of polynomial sign conditions over the real numbers). TARSKI provides operations like formula simplification and quantifier elimination, and is able to read and write SMT-LIB syntax. the web version of TARSKI was created by using the Emscripten C++ to JavaScript/WebAssembly compiler. A terminal-based interpreter is provided via ***. TARSKI is also available as a JavaScript library. We report on an experimental use in the dynamic geometry software GeoGebra.

关键词： real quantifier elimination WebAssembly porting

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Issues in Handling Complex Data Structures with NoSQL databases

Issues in Handling Complex Data Structures with NoSQL databa...

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14th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Lombardo, Santo Di Nitto, Elisabetta Ardagna, Danilo Politecn Milan DEI I-20133 Milan Italy

ISBN: (纸本)9780769549347;9781467350266

the emerging storage systems for Cloud computing are so-called NoSQL databases. these systems lack the join mechanism and declarative queries approach but show high scalability and performance. While most famous ICT companies have no doubts about the usage of NoSQL, there is still a lack of methodologies and mechanisms to support the design and management of a NoSQL database starting from a complex high level data schema. the final goal of our work is to equip NoSQL databases with programming abstractions that make them close to the expressiveness of RDBMS, still maintaining their significant advantages in terms of scalability. In this paper we discuss the main shortcomings of using a NoSQL approach and we show how we plan to overcome them.

关键词： SQL cloud computing data structures digital storage query processing relational databases

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