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Early Prediction of the Cost of HPC Application Execution in the Cloud

Early Prediction of the Cost of HPC Application Execution in...

引用

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

作者： Massimiliano Rak Mauro Turtur Umberto Villano Department of Industrial and Information Engineering Second University of Naples Aversa Italia

Even if clouds are not fit for high-end HPC applications, they could be profitably used to bring the power of economic and scalable parallel computing to the masses. But this requires both simple development environments, able to exploit cloud scalability, and the capability to easily predict the cost of HPC application runs. this paper presents a framework built on the top of a cloud aware programming platform (mOSAIC) for the development of bag-of-tasks scientific applications. the framework integrates a cloud-based simulation environment able to predict the behavior of the developed applications. Simulations enable the developer to predict at an early development stage performance and cloud resource usage, and so the infrastructure lease cost on a public cloud. the paper sketches the framework organization and discusses the approach followed for application development. Moreover, some validation tests of prediction results are presented.

关键词： Computational modeling Predictive models Benchmark testing Corporate acquisitions Load modeling Prediction algorithms Cloud computing

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FERPModels: A Certification Framework for Expansion-Based QBF Solving

FERPModels: A Certification Framework for Expansion-Based QB...

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

作者： Vedad Hadžić Roderick Bloem Ankit Shukla Martina Seidl Graz University of Technology Graz Austria Johannes Kepler University Linz Linz Austria

Modern expansion-based solvers for quantified Boolean formulas (QBFs) are successful in many applications. However, no such solver supports the generation of proofs needed to independently validate the correctness of the solving result and for the extraction of winning strategies which encode concrete solutions to the application *** this paper, we present a complete tool chain for proof generation, result validation, and for universal winning strategy extraction in the context of expansion-based solving. In particular, we introduce a proof format for the ∀Exp-Res calculus on which expansion-based solving is founded, implement proof generation in a recent QBF solver, provide a checker for these proofs, and develop a new strategy extraction algorithm.

关键词： scientific computing Calculus Certification

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Time Slot Groups - A Data Structure for QoS-Constrained Advance Bandwidth Reservation and Admission Control

Time Slot Groups - A Data Structure for QoS-Constrained Adva...

引用

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

作者： Mugurel Ionut Andreica Nicolae Tapus Computer Science and Engineering Department Politehnica University of Bucharest Bucharest Romania

In this paper we present time slot groups (TSG), a novel, efficient data structure for QoS-constrained advance bandwidth reservation and admission control. the data structure divides the time horizon into T equally sized time slots and can be used for serving efficiently complex bandwidth reservation requests specifying the duration of the reservation, the minimum required bandwidth, the earliest possible starting time and the latest possible finish time. the data structure supports reservation queries in time O(k+(T/k)* log(k)) and reservation updates in time O(k+(T/k)), where k is a user-defined parameter.

关键词： Data structures Bandwidth Admission control Streaming media scientific computing Computer science Data engineering Time factors Multimedia systems Testing

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Soundness of a Logic-Based Verification Method for Imperative Loops

Soundness of a Logic-Based Verification Method for Imperativ...

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

作者： Madalina Erascu Tudor Jebelean Research Institute for Symbolic Computation Johannes Kepler University Linz Linz Austria

We present a logic-based verification method for imperative loops (including ones with abrupt termination) and the automatic proof of its soundness. the verification method consists in generating verification conditions for total correctness of an imperative loop annotated with an invariant. We realized, in the \textit{theorem a} system (\url{***}), the automatic proof of the soundness of verification method: if the verification conditions hold, then the imperative loop is totally correct with respect to its given invariant. the approach is simpler than the others because it is based on functional semantics (no additional theory of program execution is necessary) and produces verification conditions in the object theory of the program. the computer-supported proofs reveal the minimal collection of logical assumptions (some from natural number theory) and logical inferences (including induction) which are necessary for the soundness of the verification technique.

关键词： Semantics Syntactics Arrays Indexes Programming Calculus Cognition

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Using N-Gram Variations in Static Analysis for Malware Detection

Using N-Gram Variations in Static Analysis for Malware Detec...

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

作者： Marco Radovancovici Darius Galiş Ciprian Pungilă Faculty of Mathematics and Informatics West University of Timişoara Timişoara Romania

Most of intrusion detection systems nowadays employ signature based analysis that often fails when newer or modified malware versions are brought into play. Intrusion detection systems working with cryptanalysis would offer some advantages against obfuscated code or newly derived viruses based on classic exploits. In this paper, we are applying an index of coincidence approach from cryptanalysis with a N-gram pattern-matching technique on recent binaries, to attempt classification of malicious code. those characteristics are studied with the use of modern data mining methods, namely K-means, to discover interesting clusters for classification and properties of malicious behavior. the challenges of gathering, working with, learning from and classifying large amounts of virus datasets with different techniques are explored.

关键词： Codes Computer viruses scientific computing Intrusion detection Clustering algorithms Static analysis Classification algorithms

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Dynamics of a Utility Based Distributed Video Proxy-Cache

Dynamics of a Utility Based Distributed Video Proxy-Cache

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

作者： Claudiu Cobarzan Alin Mihaila Cristina Mihaila Computer Science Department Babeş-Bolyai University Cluj-Napoca Romania Computer Science applied to Economics Department Babeş-Bolyai University Cluj-Napoca Romania

We present a distributed video proxy-cache system that is able to adapt the number of running nodes depending on the client request patterns and available storage and computational resources. Cache related operations are performed with regard to the utility values of the stored objects. We propose the use of a new utility formula which considers a number of object characteristics. this formula is fine tuned by using a genetic algorithm for determining the best approach to weight those characteristics so that the yielded byte hit rate of the system is maximal. Also, a new approach that uses the standard deviation of the utility values for the cached objects, to increase or decrease the number of active nodes within the proposed system, is presented.

关键词： Computer science Streaming media Genetic algorithms Quality of service Bandwidth scientific computing Distributed computing Internet HTML IP networks

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Optimal Scheduling of Two Communication Flows on Multiple Disjoint Packet-Type Aware Paths

Optimal Scheduling of Two Communication Flows on Multiple Di...

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

作者： Mugurel Ionut Andreica Nicolae Tapus Computer Science and Engineering Department Politehnica University of Bucharest Bucharest Romania

Communication flows in distributed systems often present a poor performance, because they are unaware of each other and end up competing for the same bottleneck resources. A solution to this problem consists of scheduling the communication flows in order to optimize some performance metric. In this paper we study the scheduling of two communication flows over multiple disjoint paths, such that the maximum completion time (makespan) is minimized. Each flow is composed of a large number of identical packets of the same type. the paths are aware of the packet types and have different transmission times for each type. We consider the objectives of minimizing the makespan and the weighted sum of completion times. We also consider some error-correcting issues, as well as the possibility of dropping the packet ordering constraints.

关键词： Optimal scheduling Scheduling algorithm Processor scheduling Measurement scientific computing Computer science Dynamic programming Heuristic algorithms

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computing Origami Universal Molecules with Cyclic Tournament Forests

Computing Origami Universal Molecules with Cyclic Tournament...

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

作者： John C. Bowers Ileana Streinu School of Computer Science University of Massachusetts Amherst Massachusetts Department of Computer Science Smith College Northampton Massachusetts

Lang's "universal molecule" algorithm solves a variant of the origami design problem. It takes as input a metric tree and a convex polygonal region (the "paper") having a certain metric relationship with the tree. It computes a crease- pattern which allows for the paper to "fold" to a uniaxial base, which is a 3-dimensional shape projecting onto the given tree. Lang's universal molecule algorithm runs in cubic time and quadratic space. We investigate two implementations which improve the running time to sub-cubic time. the first uses a cyclic tournament forest, a new data structure which extends kinetic tournament trees to allow for cycle splitting operations, and the second uses a priority queue to store events.

关键词： Vegetation Measurement Data structures TV Skeleton Algorithm design and analysis Kinetic theory

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Towards a Clausal Analysis of Proof Schemata

Towards a Clausal Analysis of Proof Schemata

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

作者： David M. Cerna Michael Lettmann Research Institute for Symbolic Computation Johannes Kepler Universitat Linz Linz Austria Institute of Information Systems Technische Universität Wien Vienna Austria

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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Bounded Parallelism in PowerList and ParList theories

Bounded Parallelism in PowerList and ParList Theories

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

作者： Virginia Niculescu Adriana Guran Faculty of Mathematics and Computer Science Babeş-Bolyai University Cluj-Napoca Romania

A very efficient model for recursive, data-parallel programs can be one based on PowerList, PowerArray, and ParList theories. It assures simple and correct design of this kind of programs, allowing work at a high level of abstraction. this high level of abstraction could be reconciled with performance by introducing data-distributions into these theories.%An important advantage of formally introducing distributions is that this allows us to evaluate costs, depending on the number of available processors, which is considered as a parameter. In this paper, we generalize the data distributions defined on PowerLists by introducing data distributions for parallel programs defined using ParList structures. Using these distributions we also define a possibility to transform ParList parallel programs into PowerList parallel programs, which are more efficient. this is an important advantage since PowerList programs could be efficiently mapped on real architecture (e.g. hypercubes).

关键词： Data structures Parallel processing Concurrent computing Costs Computer architecture Hypercubes Computational modeling Distributed computing Shape scientific computing

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