Scientific applications
Design Patterns for Typical Scientific Applications in DryadLINQ CTP
... develop applications processing large scale distributed ...of applications for the last five ...for applications and usability for ...of scientific applications, exemplified by SW- G, ...
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Portable Parallel Programming on Cloud and HPC: Scientific Applications of Twister4Azure
... Twister4Azure is a distributed decentralized iterative MapReduce runtime for Windows Azure Cloud that was developed utilizing Azure cloud infrastructure services. Twister4Azure extends the familiar, easy-to-use MapReduce ...
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Understanding the Performance and Potential of Cloud Computing for Scientific Applications
... We design a performance evaluation method to measure the capability of different instance types of Amazon EC2 cloud and to evaluate the cost of cloud computing for scientific computing. As mentioned, the goal is ...
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Dynamic Scalable Visualization for Collaborative Scientific Applications
... and applications that make a large-format display system scalable, easy to use and useful for ...that scientific disciplines have been experiencing a data avalanche and scientific research has been ...
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Performance Analysis and Optimization of Parallel Scientific Applications on CMP Clusters
... how applications can be modified to efficiently utilize all processors per node using three scientific applications: a 3D particle-in-cell, magnetic fusion application Gyrokinetic Toroidal Code ...
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Design Patterns for Scientific Applications in DryadLINQ CTP
... of applications for the last five ...within applications and in regard to usability for ...of scientific applications, exemplified by SW-G, Matrix-Matrix Multiplication and PageRank with real ...
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An adaptive framework for utility-based optimization of scientific applications in the cloud
... Executing scientific applications in a Cloud-based envi- ronment requires dynamic allocation of computing resources, provisioning of the underlying programming environments and the applications ...
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Optimized Scheduling Approach for Scientific Applications Based on Clustering in Cloud Computing Environment
... use. Scientific applications usually represented as Directed Acyclic Graphs (DAGs) are an important class of applications that lead to challenging problems for resource management in distributed ...
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Applying Twister to Scientific Applications
... Abstract—Many scientific applications suffer from the lack of a unified approach to support the management and efficient processing of large-scale ...of scientific applications such as BLAST, ...
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A tool for a two-level dynamic load balancing strategy in scientific applications
... two scientific applications that utilize the tool on a Linux cluster are presented to demonstrate sample achievable performance, and to underscore the effectiveness of the two-level dynamic load balancing ...
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Management of High Performance Scientific Applications using Mobile Agents based Services
... performance scientific applications are currently implemented using native languages for optimizing perfor- mance and utilization of ...their applications to exploit this kind of services for ...
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ParaFitter: Automatic Runtime Concurrency Configuration for Parallel Scientific Applications
... The scientist will need to write a very simple class to get the application started initially. First, the scientist will implement an IClient interface on a class. This class will need three methods, Prepare(), Finish(), ...
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A Performance Evaluation of Azure and Nimbus Clouds for Scientific Applications
... Cloud computing has recently emerged as a viable alterna- tive to the acquisition and management of hardware or soft- ware: it allows resources to be dynamically provisioned on a fine-grained, elastic basis, in a ...
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Experiments with Complex Scientific Applications on Hybrid Cloud Infrastructures
... Node' Worker' Node' Worker' Node' Head' Node' Image'store' OpenStack'cloud'site'at'ACC'CYFRONET'AGH' 96'CPU'cores' 184'GB'RAM' 4'TB'storage' private'IP'space' Worker'node'w/large' resour[r] ...
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Portable Parallel Programming on Cloud and HPC: Scientific Applications of Twister4Azure
... – Address the challenges of scalability and fault tolerance unique to utilizing the cloud interfaces – Support multi-level caching of loop-invariant data across iterations as well as cac[r] ...
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Overview of Cloud Technologies and Parallel Programming Frameworks for Scientific Applications
... • Apache Implementation of Google’s MapReduce • Hadoop Distributed File System HDFS manage data • Map/Reduce tasks are scheduled based on data locality in HDFS replicated data blocks.. •[r] ...
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Scientific Applications as Web Services: A Simple Guide
... ensure only authenticated, authorized usage. Another important issue is service discovery, by which we find the URLs and descriptions for services that meet our requirements. This is one example of an information service ...
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Grid portal architectures for scientific applications
... of scientific communities rely upon third-party software (including both open source community science projects and commercial applications) rather than developing codes from ...services, ...
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Using Web 2 0 for Scientific Applications and Scientific Communities
... 2.0 applications take advantage of AJAX and similar approaches that make extensive use of JavaScript with call‐backs to remote servers over ...Grid applications, we need to mediate between the AJAX and JSON ...
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Applicability of DryadLINQ to Scientific Applications
... in scientific analysis as many data analysis functions are written using specific analysis software such as ROOT, R, Matlab ...these applications only require copying a collection of libraries to the ...
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