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STEM 2011 Topics

 

Mentor/Creator Topics Description References
Bingjing Zhang MapReduce (Twister, Hadoop) related topics Learn Twister architecture and develop Twister iterative MapReduce applications   paper 
       
Adam Hughes Analyzing genome data (low computer science requirement) Use of software tools to analyze and annotate biosequence data. paper
       
Adam Hughes Biosequence Analysis Web Services Development of WCF services and web interfaces to run sequence analysis tools (BLAST, etc) on high-performance computing resources. link
       
Adam Hughes Development of computational pipelines for biosequence analysis. Development and tuning of algorithms for sequence distance calculations and multidimensional scaling (MDS). link
    Data schemes for moving sequence data along pipeline. link
    Web service integration into analysis pipelines. paper
       
Jong Document indexing with Probabilistic Latent Semantic Indexing Document indexing and extraction by using Probabilistic Latent Semantic Indexing (PLSI) paper
link
       
Ryan Parallel Latent Dirichlet Allocation Parallel LDA algorithm using mapreduce and MPI, find a large and appropriate dataset for large Document indexing  
       
Thilina Twister4Azure Iterative MapReduce as a Service Development of cloud web applications (Azure cloud asp.net web roles) to invoke and execute MapReduce jobs on Azure compute resources. link1 link2
       
Thilina Develop Twister4Azure iterative MapReduce applications Develop iterative MapReduce sample applications for Twister4Azure.Some potential applications link
       
Hui Distributed Aggregation in DryadLinq Study distriubted aggregation in DryadLinq by running PageRank with large real data. Make a mathematics timing model for distributed aggregation operation link
       
Seung-Hee Efficient Parallel All-Pairwise Computation Implement efficient parallel All-pairwise computation and analysis the performance  
       
Xiaoming Gao Performance test of cloud storage services Testing the performance of cloud storage services provided by commercial players such as Amazon and Microsoft. link1, link2