scalable high-performance model
Scalable High Performance Data Analytics
... Iterative MapReduce is a programming model that applies a computation (e.g. Map task) or function repeatedly, using output from one iteration as the input of the next iteration. By using this pattern, it can solve ...
62
A High Performance Scalable Data Collection System for Moving Objects
... and high quality, like mobile devices, IP-cameras, and electronic payment ...unified model to deal and explore captured data, ...provide high quality of locations based services to survive and have ...
8
A Scalable Global Model for Summarization
... the high- est scoring systems from the middle of the pack in the TAC ...on performance; The ILP solution marks an upper bound on performance but is subject to the perils of exponential ...the ...
9
FLEXIBLE SHARING IN DHT BASED P2P NETWORKS USING METADATA OF RESOURCE
... storage model based on cloud computing is ...dynamic, scalable, cost-effective, easy to use and high performance computing platform on a large of centralized or distributed inexpensive ...
5
Scalable performance measurement and analysis
... with high-speed networking protocols ...(BSP) model of parallel computation (Valiant, 1990). In the BSP model, computation is organized into coarse-grained, alternating phases of computation and com- ...
206
Scalable High Performance Data Analytics: Harp and Harp-DAAL: Indiana University
... Iterative MapReduce is a programming model that applies a computation (e.g. Map task) or function repeatedly, using output from one iteration as the input of the next iteration. By using this pattern, it can solve ...
48
Data enabled Science and Engineering: Scalable High Performance Data Analytics
... We built Map-Collective as a unified model to improve the performance and expressiveness of Big Data tools. We ran Harp on K-means, Graph Layout, and Multidimensional Scaling algorithms with realistic ...
65
Data-enabled Science and Engineering: Scalable High Performance Data Analytics
... We built Map-Collective as a unified model to improve the performance and expressiveness of Big Data tools. We ran Harp on K-means, Graph Layout, and Multidimensional Scaling algorithms with realistic ...
71
Investigation Analysis On Data Prefetching And Mapreduce Techniques For User Query Processing
... guaranteed high integrity results of MapReduce ...guarantee high integrity on the job ...time. Scalable pipeline of components was constructed on the Spark engine for large-scale data ...The ...
5
Towards HPC ABDS: An Initial Experience Optimizing Hadoop for Scalable High Performance Data Analytics,
... sustainable model that provides Cloud-HPC interoperable software building blocks with the performance of HPC (High Performance Computing) and the rich functionality of the commodity Apache Big ...
52
COMPARATIVE STUDY OF DISTRIBUTED, SCALABLE, & HIGH PERFORMANCE NOSQL DATABASES
... Example: MongoDB was designed to store a huge data (BigData), to be easy-scalable, high- available and fast. JOINs and global transactions were a stumbling-block for designing such system and the only way ...
8
Scalable Deep Analytics on Cloud and High Performance Computing Environments
... • Big Data requires high performance – achieve with parallel computing • Big Data requires robust algorithms as more opportunity to make. mistakes[r] ...
80
An insight analysis and detection of drug-abuse risk behavior on Twitter with self-taught deep learning
... promising performance in drug-abuse risk behavior detection in ...tion performance by exploring the correlations among parameters and experimental ...
19
SCALABLE HIGH PERFORMANCE MULTIDIMENSIONAL SCALING
... In this dissertation, we have worked on a dimension reduction method called multidimensional scaling (MDS). The main purpose of my dissertation work is to scale up the mapping capacity of the MDS algorithm for dealing ...
159
Towards HPC ABDS: An Initial High Performance BigData Stack
... parallelism) high performance middleware ...application performance along multiple dimen- sions by combining application expertise, the broad Apache Big Data stack and best practice ...as ...
22
Scalable High Performance Dimension Reduction
... To deal with even more points, like millions of data, which is not eligible to run normal MDS algorithm in cluster systems. Also, I will investigate and analyze how weight values[r] ...
36
The Design and Realization of PKE System Based On ARM9
... The S3C2410 processor is a 16/32-bit RISC embedded processor designed by Samsung based on ARM920T processor core. This processor provides a cost-effective, low-power microcontroller solution for handheld devices and ...
7
Paas Providers And Their Offerings
... Abstract: Platform-as-a-Service (PaaS) is a cloud service model that provides an environment to develop, deploy and operate software applications. PaaS provides preconfigured capabilities like, programming ...
7
Datanet: CIF21 DIBBs: Middleware and High Performance Analytics Libraries for Scalable Data Science
... 15A) High level Programming: Kite, Hive, HCatalog, Tajo, Shark, Phoenix, Impala, MRQL, SAP HANA, HadoopDB, PolyBase, Pivotal HD/Hawq, Presto, Google Dremel, Google BigQuery, Amazon Re[r] ...
41
LOW LATENCY SCALABLE HIGH PERFORMANCE ELLIPTIC CURVE INVERSE BLOCK IN GF (2m)
... the scalable inverse block when it is implemented with the modified multiplier, there is a reduction in the number of clock cycles as shown in Table 3, with very less impact on area and power consumption as shown ...
8