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Full-Text Articles in Engineering
Performance Evaluation Of Linq To Hpc And Hadoop For Big Data, Ravishankar Sivasubramaniam
Performance Evaluation Of Linq To Hpc And Hadoop For Big Data, Ravishankar Sivasubramaniam
UNF Graduate Theses and Dissertations
There is currently considerable enthusiasm around the MapReduce paradigm, and the distributed computing paradigm for analysis of large volumes of data. The Apache Hadoop is the most popular open source implementation of MapReduce model and LINQ to HPC is Microsoft's alternative to open source Hadoop. In this thesis, the performance of LINQ to HPC and Hadoop are compared using different benchmarks.
To this end, we identified four benchmarks (Grep, Word Count, Read and Write) that we have run on LINQ to HPC as well as on Hadoop. For each benchmark, we measured each system’s performance metrics (Execution Time, Average CPU …
Evaluating Speedup In Parallel Compilers, Deepa V. Komathukattil
Evaluating Speedup In Parallel Compilers, Deepa V. Komathukattil
UNF Graduate Theses and Dissertations
Parallel programming is prevalent in every field mainly to speed up computation. Advancements in multiprocessor technology fuel this trend toward parallel programming. However, modern compilers are still largely single threaded and do not take advantage of the machine resources available to them. There has been a lot of work done on compilers that add parallel constructs to the programs they are compiling, enabling programs to exploit parallelism at run time. Auto parallelization of loops by a compiler is one such example. Researchers have done very little work towards parallelizing the compilation process itself.
The research done here focuses on parallel …
Empirical Performance Analysis Of High Performance Computing Benchmarks Across Variations In Cloud Computing, Sindhu Mani
Empirical Performance Analysis Of High Performance Computing Benchmarks Across Variations In Cloud Computing, Sindhu Mani
UNF Graduate Theses and Dissertations
High Performance Computing (HPC) applications are data-intensive scientific software requiring significant CPU and data storage capabilities. Researchers have examined the performance of Amazon Elastic Compute Cloud (EC2) environment across several HPC benchmarks; however, an extensive HPC benchmark study and a comparison between Amazon EC2 and Windows Azure (Microsoft’s cloud computing platform), with metrics such as memory bandwidth, Input/Output (I/O) performance, and communication computational performance, are largely absent. The purpose of this study is to perform an exhaustive HPC benchmark comparison on EC2 and Windows Azure platforms.
We implement existing benchmarks to evaluate and analyze performance of two public clouds spanning …