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execution times

Heuristics for Robust Allocation of Resources to Parallel Applications with Uncertain Execution Times in Heterogeneous Systems with Uncertain Availability

Heuristics for Robust Allocation of Resources to Parallel Applications with Uncertain Execution Times in Heterogeneous Systems with Uncertain Availability

... stochastic execution times, where a moldable parallel application is one that differs in execution time as a function of the numbers of processors (determined by the scheduler) on which it ...

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Comparison of execution times of Kaedah A for different movement trajectories using Virtual Sensei Lite

Comparison of execution times of Kaedah A for different movement trajectories using Virtual Sensei Lite

... the execution times produced by fending off techniques of Seni Silat Cekak Malaysia (SSCM), Kaedah A for different movement ...the execution of Kaedah A were recorded by a Kinect sensor, prior to ...

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hybrid_fmm.pdf

hybrid_fmm.pdf

... for execution time and the optimal choice of q [6], we can estimate the execution time on possible future CPU–, GPU–, and hybrid–based exascale systems, for a problem instance that is large relative to the ...

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Resource efficiency in container instance clusters

Resource efficiency in container instance clusters

... increased execution times for applications, and resource wastage through under utilised container-instances; but also a reduction in the number of applica- tions that can be deployed, given the available ...

5

Predicting Worst-Case Execution Time Trends in Long-Lived Real-Time Systems

Predicting Worst-Case Execution Time Trends in Long-Lived Real-Time Systems

... Exploring execution time trends could also benefit task ...future execution behaviors, it would be possible for it to allocate resources more optimally, and to reduce the number of unnecessary ...

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A tool for a two-level dynamic load balancing strategy in scientific applications

A tool for a two-level dynamic load balancing strategy in scientific applications

... application execution time, and therefore, to achieve high ...iterate execution times, heterogeneity of the processors, and operating system interference during loop execution, give rise to ...

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Abstract Execution in a Multi-Tasking Environment

Abstract Execution in a Multi-Tasking Environment

... three times reported for each program. Untraced time is the execution time of the uninstru- mented program on the chosen input ...three times, and the numbers reported for all three cases are the ...

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Open Challenges for Probabilistic Measurement-Based Worst-Case Execution Time

Open Challenges for Probabilistic Measurement-Based Worst-Case Execution Time

... The sample of execution times provided as input to EVT for a pWCET estimation is obtained using a measurement protocol. This measurement protocol describes the status of the program and of the processor for ...

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Workload Ahead Driven Online Energy Minimization Techniques for Battery Powered Embedded Systems with Time Constraints

Workload Ahead Driven Online Energy Minimization Techniques for Battery Powered Embedded Systems with Time Constraints

... number of the remaining tasks and reflects the complexity of the battery model). However, we use this approach due to its so- lution quality as a baseline for comparison. 2. SF: The slack forwarding approach is based on ...

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The impact of predictive inaccuracies on execution scheduling

The impact of predictive inaccuracies on execution scheduling

... A new performance metric, termed the degree of misperception, is introduced to express the probability that the predicted execution times of jobs display different ordering characteristi[r] ...

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Lock-free  GaussSieve  for  Linear  Speedups  in  Parallel  High  Performance  SVP  Calculation

Lock-free GaussSieve for Linear Speedups in Parallel High Performance SVP Calculation

... The execution times for both a random and an ideal lattice are exactly the same, which is surprising, considering that substantial speedups (e.g. >50x) are possible to be achieved for[r] ...

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Load Balancing Approaches in Grid Computing Environment

Load Balancing Approaches in Grid Computing Environment

... The gaining popularity of high speed and distributed system emerges the problem of load balancing. A load is the number of jobs in the waiting queue and can be light, moderate and heavy according to their work. Load ...

8

A Tasks Allocation Model with Fuzzy Execution and Fuzzy Inter Tasks Communication Times in a Distributed Computing System

A Tasks Allocation Model with Fuzzy Execution and Fuzzy Inter Tasks Communication Times in a Distributed Computing System

... In this paper we are proposing a new mathematical approach for assigning a set of “m’’ tasks of a program to a set of “n” processors using fuzzy execution times and fuzzy inter tasks communication ...

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Expert-based speed-precision control in early

Expert-based speed-precision control in early

... The evolution of task execution times (left) and precision (right) of the novice trainee focused 195. on precision showing a clear learning trend for each performance parameter, with mo[r] ...

13

p_machine_opcode_1.pdf

p_machine_opcode_1.pdf

... This appendix presents tables of'P~chine opcodes and operator execution times.. Table C-l presents the opcodes, and Table C-2 presents the operator execution times.[r] ...

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Linguistic reflection in Java : a quantitative assessment

Linguistic reflection in Java : a quantitative assessment

... Due to lack of space only the overall execution times are given here. Details of the other comparisons are given in [KMS98]. The measurements are performed using the persistent Java system PJama Release ...

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Minimising the execution of unknown Bag of Task jobs with deadlines on the Cloud

Minimising the execution of unknown Bag of Task jobs with deadlines on the Cloud

... More recent researchers, including ourselves, have started to investigate the problem of scheduling BoT jobs on the cloud with constraints such as budget or deadlines based on task execution times which ...

8

Evaluating the Scalability of MayBMS, a Probabilistic Data Tool

Evaluating the Scalability of MayBMS, a Probabilistic Data Tool

... This paper proposes to create a benchmark tool for mea- suring and comparing the scalability of probabilistic data tools. The benchmark includes a data generator, and can be used to measure the execution time of ...

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Parallel computing in genomic research: advances and applications

Parallel computing in genomic research: advances and applications

... analysis execution that executes six codon sub- stitution models (using codeml for M0, M1, M2, M3, M7, M8), and xi) evolutionary data analysis (using Perl scripts) that applies the likelihood ratio test on nested ...

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A Java Expression Evaluator for Nonlinear Programming

A Java Expression Evaluator for Nonlinear Programming

... know the insides of the API and know how to program in Java. While some API users are programmers, there are some users that only want to solve a problem using an application. On the second case the problem is ...

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