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- articleSeptember 2016
Improving performance of GPU code using novel features of the NVIDIA kepler architecture
Concurrency and Computation: Practice & Experience (CCOMP), Volume 28, Issue 13September 2016, Pages 3586–3605https://doi.org/10.1002/cpe.3744Graphics processing unit GPU computing is a popular approach to simulating complex models and performing massive calculations. GPUs have attracted a great deal of interest because they offer both high performance and energy efficiency. Efficient General-...
- ArticleJuly 2016
HPC Mobile Platform for Solving Oil Recovery Problem
ICINCO 2016: Proceedings of the 13th International Conference on Informatics in Control, Automation and RoboticsJuly 2016, Pages 595–598https://doi.org/10.5220/0006007505950598The paper describes applying of mobile computational tools to numerical solving of full value industrial problems. As an example, we used surfactant/polymer flooding problem with thermal effects. The problem solved by using different graphics processing ...
- research-articleJune 2016
Introducing Triquetrum, A Possible Future for Kepler and Ptolemy II1
Procedia Computer Science (PROCS), Volume 80, Issue CJune 2016, Pages 2449–2454https://doi.org/10.1016/j.procs.2016.05.546Triquetrum is an open platform for managing and executing scientific workflows that is under development as an Eclipse project. Both Triquetrum and Kepler use Ptolemy II as their execution engine. Triquetrum presents opportunities and risks for the ...
- research-articleJune 2016
Integrated Machine Learning in the Kepler Scientific Workflow System
Procedia Computer Science (PROCS), Volume 80, Issue CJune 2016, Pages 2443–2448https://doi.org/10.1016/j.procs.2016.05.545We present a method to integrate multiple implementations of a machine learning algorithm in Kepler actors. This feature enables the user to compare accuracy and scalability of various implementations of a machine learning technique without having to ...
- research-articleJune 2016
Best Practices in Debugging Kepler Workflows
Procedia Computer Science (PROCS), Volume 80, Issue CJune 2016, Pages 2332–2337https://doi.org/10.1016/j.procs.2016.05.433In this paper we present various techniques related to Kepler development, debugging, and JVM customisation. We highlight some aspects of development process that may help people to perform better while working with Kepler (especially in case they ...
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- research-articleJune 2016
Assessing Run-time Overhead of Securing Kepler
Procedia Computer Science (PROCS), Volume 80, Issue CJune 2016, Pages 2281–2286https://doi.org/10.1016/j.procs.2016.05.412We have developed a model for securing data-flow based application chains. We have imple- mented the model in the form of an add-on package for the scientific workflow system called Kepler. Our Security Analysis Package (SAP) leverages Kepler's ...
- research-articleJune 2016
Running Simultaneous Kepler Sessions for the Parallelization of Parametric Scans and Optimization Studies Applied to Complex Workflows
- Micha Owsiak,
- Marcin Pciennik,
- Bartek Palak,
- Tomasz Zok,
- Cedric Reux,
- Luc Di Gallo,
- Denis Kalupin,
- Thomas Johnson,
- Mireille Schneider
Procedia Computer Science (PROCS), Volume 80, Issue CJune 2016, Pages 690–699https://doi.org/10.1016/j.procs.2016.05.362In this paper we present an approach taken to run multiple Kepler sessions at the same time. This kind of execution is one of the requirements for Integrated Tokamak Modelling platform developed by the Nuclear Fusion community within the context of ...
- research-articleJune 2016
Two-level Dynamic Workflow Orchestration in the INDIGO DataCloud for Large-scale, Climate Change Data Analytics Experiments
- Marcin Pciennik,
- Sandro Fiore,
- Giacinto Donvito,
- Micha Owsiak,
- Marco Fargetta,
- Roberto Barbera,
- Riccardo Bruno,
- Emidio Giorgio,
- Dean N. Williams,
- Giovanni Aloisio
Procedia Computer Science (PROCS), Volume 80, Issue CJune 2016, Pages 722–733https://doi.org/10.1016/j.procs.2016.05.359In this paper we present the approach proposed by EU H2020 INDIGO-DataCloud project to orchestrate dynamic workflows over a cloud environment. The main focus of the project is on the development of open source Platform as a Service solutions targeted at ...
- research-articleJune 2016
Natural Language Processing Using Kepler Workflow System
Procedia Computer Science (PROCS), Volume 80, Issue CJune 2016, Pages 712–721https://doi.org/10.1016/j.procs.2016.05.358Scientific community across many disciplines is exploring new ways to extract knowledge from all available sources. Historically, written manuscripts have been the media of choice for recording experimental findings. Many disciplines such as social ...
- ArticleAugust 2015
Enhanced GPU Resource Utilization through Fairness-aware Task Scheduling
TRUSTCOM-BIGDATASE-ISPA '15: Proceedings of the 2015 IEEE Trustcom/BigDataSE/ISPA - Volume 03August 2015, Pages 45–52Underutilization as well as oversubscription of processing resources are common problems in current accelerator-based computing systems. Facing these challenges will require intelligent algorithms for scheduling parallel workloads on accelerators. The ...
- ArticleAugust 2015
Enhanced GPU Resource Utilization through Fairness-aware Task Scheduling
TRUSTCOM-BIGDATASE-ISPA '15: Proceedings of the 2015 IEEE Trustcom/BigDataSE/ISPA - Volume 03August 2015, Pages 45–52https://doi.org/10.1109/Trustcom.2015.611Underutilization as well as oversubscription of processing resources are common problems in current accelerator-based computing systems. Facing these challenges will require intelligent algorithms for scheduling parallel workloads on accelerators. The ...
- ArticleAugust 2015
Securing Scientific Workflows
QRS-C '15: Proceedings of the 2015 IEEE International Conference on Software Quality, Reliability and Security - CompanionAugust 2015, Pages 95–104https://doi.org/10.1109/QRS-C.2015.25This paper investigates security of Kepler scientific workflow engine. We are especially interested in Kepler-based scientific workflows that may operate in cloud environments. We find that (1) three security properties (i.e., input validation, remote ...
- research-articleJuly 2015
BFS-4K: An Efficient Implementation of BFS for Kepler GPU Architectures
IEEE Transactions on Parallel and Distributed Systems (TPDS), Volume 26, Issue 7July 2015, Pages 1826–1838https://doi.org/10.1109/TPDS.2014.2330597Breadth-first search (BFS) is one of the most common graph traversal algorithms and the building block for a wide range of graph applications. With the advent of graphics processing units (GPUs), several works have been proposed to accelerate graph ...
- research-articleFebruary 2015
A comparative investigation of device-specific mechanisms for exploiting HPC accelerators
GPGPU-8: Proceedings of the 8th Workshop on General Purpose Processing using GPUsFebruary 2015, Pages 1–12https://doi.org/10.1145/2716282.2716293A variety of computational accelerators have been greatly improved in recent years. Intel's MIC (Many Integrated Core) and both GPU architectures, NVIDIA's Kepler and AMD's Graphics Core Next, all represent real innovations in the field of HPC. Based ...
- ArticleDecember 2014
A Scalable Data Science Workflow Approach for Big Data Bayesian Network Learning
BDC '14: Proceedings of the 2014 IEEE/ACM International Symposium on Big Data ComputingDecember 2014, Pages 16–25https://doi.org/10.1109/BDC.2014.10In the Big Data era, machine learning has more potential to discover valuable insights from the data. As an important machine learning technique, Bayesian Network (BN) has been widely used to model probabilistic relationships among variables. To deal ...
- research-articleMay 2014
Feature-based device selection in heterogeneous computing systems
CF '14: Proceedings of the 11th ACM Conference on Computing FrontiersMay 2014, Article No.: 9, Pages 1–10https://doi.org/10.1145/2597917.2597927With the advent of accelerator-based heterogeneous parallel systems, the need for a solution of the task-device matching problem is increasing. Due to the enormously growing diversity in existing computing architectures, optimal matching promises to ...
- ArticleDecember 2013
Throughput and Power Efficiency Evaluations of Block Ciphers on Kepler and GCN GPUs
CANDAR '13: Proceedings of the 2013 First International Symposium on Computing and NetworkingDecember 2013, Pages 366–372https://doi.org/10.1109/CANDAR.2013.65Computer systems with GPUs are expected to become a strong methodology for high-speed encryption processing. Moreover, power consumption is a primary deterrent for data center security on cloud services and handheld devices such as smartphones and ...
- articleSeptember 2013
uBench: exposing the impact of CUDA block geometry in terms of performance
The Journal of Supercomputing (JSCO), Volume 65, Issue 3Sep 2013, Pages 1150–1163https://doi.org/10.1007/s11227-013-0921-zThe choice of thread-block size and shape is one of the most important user decisions when a parallel problem is written for any CUDA architecture. The reason is that thread-block geometry has a significant impact on the global performance of the ...
- articleJuly 2013
Approaches to Distributed Execution of Scientific Workflows in Kepler
- Marcin Płóciennik,
- Tomasz Żok,
- Ilkay Altintas,
- Jianwu Wang,
- Daniel Crawl,
- David Abramson,
- Frederic Imbeaux,
- Bernard Guillerminet,
- Marcos Lopez-Caniego,
- Isabel Campos Plasencia,
- Wojciech Pych,
- Pawel Ciecieląg,
- Bartek Palak,
- Michał Owsiak,
- Yann Frauel
Fundamenta Informaticae (FUNI), Volume 128, Issue 3July 2013, Pages 281–302The Kepler scientific workflow system enables creation, execution and sharing of workflows across a broad range of scientific and engineering disciplines while also facilitating remote and distributed execution of workflows. In this paper, we present ...
- ArticleMay 2013
Accelerating the 3D Elastic Wave Forward Modeling on GPU and MIC
IPDPSW '13: Proceedings of the 2013 IEEE 27th International Symposium on Parallel and Distributed Processing Workshops and PhD ForumMay 2013, Pages 1088–1096https://doi.org/10.1109/IPDPSW.2013.216The forward modeling of wave propagation is a widely-used computational method in oil and gas exploration. Its iterative stencil loops also have broad applications in scientific computing. However, the time-consuming iterative stencil loops greatly ...