[PDF] Top 20 High Performance Biomedical Applications Using Cloud Technologies
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High Performance Biomedical Applications Using Cloud Technologies
... • CGL-MapReduce is an example of MapReduce++ -- supports MapReduce model with iteration (data stays in memory and communication via streams not files). Time for 20 iterations[r] ... See full document
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Cloud Technologies and Their Applications
... Smith Waterman Dissimilarities, CAP-3 Gene Assembly, PhyloD Using DryadLINQ, High Energy Physics, Clustering, Multidimensional Scaling,. Generative Topological Mapping[r] ... See full document
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High Performance Parallel Computing with Clouds and Cloud Technologies
... HPC applications using “high CPU extra large” instances provided by EC2 and on a similar set of local hardware nodes ...connected using infiniband switches while Amazon EC2 network technology ... See full document
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High Performance Parallel Computing with Clouds and Cloud Technologies
... Performance analysis of MPI applications using a private cloud environment.. S A L S A Performance analysis of MPI applications[r] ... See full document
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High Performance Parallel Computing with Clouds and Cloud Technologies
... evaluating cloud and cloud ...intensive applications and then compare them with a novel MapReduce runtime developed by us, named CGL-MapReduce, and ...Preliminary applications are developed ... See full document
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High Performance Parallel Computing with Clouds and Cloud Technologies
... the performance implications of virtualized resources on MPI applications, we performed an extensive analysis using Eucalyptus based private cloud ...private cloud gives us complete ... See full document
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Cloud Technologies and Bioinformatics Applications
... Smith Waterman Dissimilarities, CAP-3 Gene Assembly, PhyloD Using DryadLINQ, High Energy Physics, Clustering, Multidimensional Scaling,. Generative Topological Mapping[r] ... See full document
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Cloud Technologies for Bioinformatics Applications
... parallel” applications enabled them to be implemented using a wide variety of ...the cloud technologies, simplify the implementa- tion of some problems over traditional ...ing ... See full document
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Cloud Technologies for Bioinformatics Applications
... Cloud Technologies for Bioinformatics Applications Jaliya Ekanayake, Thilina Gunarathne, and Judy Qiu Abstract—Executing large number of independent jobs or jobs comprising of large number of tasks ... See full document
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Cloud Technologies for Bioinformatics Applications
... the performance difference of the NAligner (C#) and JAligner (Java) base Smith-Waterman alignment ...significant performance degradations for high standard ...acceptable performance can be ... See full document
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High-Performance Cloud Computing: A View of Scientific Applications
... by using high-performance computing solutions and installed facilities such as clusters and super computers, which are difficult to setup, maintain, and ...operate. Cloud computing provides ... See full document
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Feasibility of virtual machine and cloud computing technologies for high performance computing
... with high certainty can result in a higher advantage over the ...create high spatial resolution, regional, numerical weather prediction (NWP) ...on high performance computing (HPC) ...in ... See full document
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ENABLING HIGH PERFORMANCE GEOSPATIAL APPLICATIONS IN THE CLOUD _ WHITE PAPER
... ENABLING HIGH PERFORMANCE GEOSPATIAL APPLICATIONS IN THE CLOUD 3 ...Geospatial technologies have been deployed in the cloud (whether private or public) for quite some ...that ... See full document
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Performance Analysis of High Performance Computing Applications on the Amazon Web Services Cloud
... GAMESS uses an SPMD approach but includes its own underlying communication library, called the Distributed Data Interface (DDI), to present the abstraction of a global shared memory with one-side data transfers even on ... See full document
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Performance Analysis of High Performance Computing Applications on the Amazon Web Services Cloud
... GAMESS uses an SPMD approach but includes its own underlying communication library, called the Distributed Data Interface (DDI), to present the abstraction of a global shared memory with one-side data transfers even on ... See full document
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Cloud Computing Paradigms for Pleasingly Parallel Biomedical Applications
... computation applications. Cloud infrastructure based models as well as the MapReduce based frameworks offered good parallel efficiencies in most of the cases, given sufficiently coarser grain task ...by ... See full document
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Cloud Computing Paradigms for Pleasingly Parallel Biomedical Applications
... ABSTRACT Cloud computing offers new approaches for scientific computing that leverage the major commercial hardware and software investment in this ...coupled applications are still unclear in clouds as ... See full document
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The Who, What, Why and How of High Performance Computing Applications in the Cloud
... choose) cloud for HPC, for what applications, and how should cloud be used for HPC? To this end, we perform a comprehensive performance evaluation of a set of benchmarks and complex HPC ... See full document
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A Survey on Emerging Technologies and Architectures of Low Power Preamplifiers for Biomedical Applications
... for biomedical applications requires critical analyses in terms of specifications, technologies, and design techniques because of the devices’ safety and ...with high source impedance and ... See full document
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A user-centered and autonomic multi-cloud architecture for high performance computing applications
... Cloud computing has been seen as an option to execute high performance computing (HPC) ...failures, performance, and number of resources, cloud computing offers on-demand resources ... See full document
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