[PDF] Top 20 HIGH PERFORMANCE INTEGRATION OF DATA PARALLEL FILE SYSTEMS AND COMPUTING: OPTIMIZING MAPREDUCE
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HIGH PERFORMANCE INTEGRATION OF DATA PARALLEL FILE SYSTEMS AND COMPUTING: OPTIMIZING MAPREDUCE
... most MapReduce jobs tend to have significantly lesser reduce tasks than map ...in parallel, which should yield 7x optimal ...the data in local buffer without interfering with other ... See full document
196
High Performance Integration of Data Parallel File Systems and Computing
... evaluation Data locality Task granularity Heterogeneity utilization Resource.. Task Granularity – Single-Job Experiment[r] ... See full document
50
Use of IU parallel computing resources and high performance file systems July 2013 to Dec 2014
... in optimizing diesel engine design is to ensure that fuels are burned as cleanly as ...engine performance can be ...GPU-based computing offers the potential to employ much more detailed reaction ... See full document
11
Research on High-performance and Scalable Data Access in Parallel Big Data Computing
... the parallel I/O ...the performance gap between serving fragments and serving large ...trace data that takes into account the fact that HPC I/O systems can be represented as ...diverse ... See full document
133
Optimizing a MapReduce Module of Preprocessing High-Throughput DNA Sequencing Data
... big data analysis in a variety of applications. In MapReduce programming model, computation is distributed to a cluster of computing nodes that runs in ...The performance of a MapReduce ... See full document
6
Critical Study of Performance Parameters on Distributed File Systems Using MapReduce
... running data intensive ...checkpoint data is often written once and many a times read only 8 ...shared file system. But the locally stored data is lost when the node gets ...shared,central ... See full document
9
Design and Implementation of Shared Memory based Parallel File System Logging Method for High Performance Computing
... trace data on the fly system of the real world, because of collection overhead and a large volume of ...Especially, file system traces on a live distributed parallel file system such as PVFS ... See full document
5
pwalrus: Towards Better Integration of Parallel File Systems into Cloud Storage
... good integration of the convenience and performance ef- ficiency that S3 storage and parallel file systems provide, ...and parallel file systems complement each ...of data, ... See full document
7
A Review Of Cuda, Mapreduce, And Pthreads Parallel Computing Models
... three parallel programming models, CUDA, MapReduce, and ...assist high performance users with a concise understanding of parallel programming concepts and thus faster implementation of ... See full document
10
High Performance Parallel Computing with Clouds and Cloud Technologies
... very high overheads for applications that are sensitive to ...large data transfers and/or lower Communication/Computation ratios, show minimal total overheads in both bare-metal and VM ...the ... See full document
20
High Performance Parallel Computing with Clouds and Cloud Technologies
... many data analysis ...a file or data is copied to all the compute ...iterative MapReduce computations efficiently. In CGL-MapReduce, the data partitioning and distribution is ... See full document
39
High Performance Parallel Computing with Clouds and Cloud Technologies
... HEP data analysis, we kept the input data in a high performance parallel file system rather than in the HDFS because the analysis scripts written in ROOT could not access ... See full document
20
Parallel Computing: High Performance
... of parallel computing in various areas like processors design, systems ...design. Parallel computing plays a vital role in computer architecture where the architect considers the ... See full document
5
Parallel Programming and High-Performance Computing
... • shared address space, but access times depend on location of data (i. local addresses faster than remote addresses). • differences in access times are visible in the program • example[r] ... See full document
70
CUDA: High Parallel Computing Performance
... superior computing developers to harness the tremendous power of computation and memory bandwidth of GPU in a very familiar programming surroundings – the C programming ... See full document
8
On the Benefits of a Workflow-Aware File System in High-Performance Computing Systems
... Introduction The Design of WaFS The WaFS-aware Scheduler Simulation Study Conclusions and Future Work.. On the Benefits of a Workflow-Aware File System in High-Performance Computing.[r] ... See full document
12
Parallel Data Processing in Dynamic Hybrid Computing Environment Using MapReduce
... of data to be processed by Map tasks and Reduce tasks in a WorkerNode, so the value of R workload reflects approximatively the length of task ...more file chunks should be placed on ... See full document
14
d2o: a distributed data object for parallel high-performance computing in Python
... to high-level parallelization, the low-level approach is more complicated to ...in parallel on the individual machines; when finished one collects and combines the ...local data portions of the ... See full document
34
PARALLEL I/O FOR HIGH PERFORMANCE COMPUTING
... write data at about 25 MB/sec. This is far too slow for modern parallel computers, which need to access data at hundreds or thousands of megabytes per ... See full document
13
High performance parallel computing for Computational Fluid
... prototyped parallel computer is an ordinary personal computer except for the power source and other parts that require reliability, which were substituted by a server, a RAID5 ... See full document
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