Parallel programming thesis

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Parallel programming thesis

Tweet I have seen many people asking for help in data mining forums and on other websites about how to choose a good thesis topic in data mining.

Therefore, in this this post, I will address this question. Personally, I think that designing or improving data mining techniques is more challenging than using already existing techniques.

Moreover, you can make a more fundamental contribution if you work on improving data mining techniques instead of applying them. Data mining is a broad field consisting of many techniques such as neural networks, association rule mining algorithms, clustering and outlier detection.

Parallel programming thesis

You should try to get some overview of the different techniques to see what you are more interested in. If your goal is just to apply data mining techniques to achieve some other purpose e. This requires more thoughts. This helps to see what are the current popular topics and what kind of problems researchers are currently trying to solve.

It does not mean that you need to work on the most popular topic. Working on a popular topic e. It is easier to get grants or in some case to get your papers accepted in special issues, workshops, etc. Actually, the most important is that you find a topic that you like and will enjoy working on it for perhaps a few years of your life.

Finding a good problem to work on can require to read several articles to understand what are the limitations of current techniques and decide what can be improved.

Why is this good? When do we go from sync to async/parallel execution?

It is normal that it takes time to find a more specific topic. Therefore, if you are looking for a thesis topic, it is good to talk with your supervisor and ask for suggestions.

He should help you. Choosing a supervisor is a very important and strategic decision that every graduate student has to make. For more information about choosing a supervisor, you can read this post: How to choose a research advisor for M. There are two problems with this question.

The first problem is that it is too general. As mentioned, data mining is a very broad field.

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For example, I could suggest you some very specific topics such as detecting outliers in imbalanced stock market data or to optimize the memory efficiency of subgraph mining algorithms for community detection in social networks.

But will you like it? It is best to choose something by yourself that you like. The second problem with the above question is that choosing a topic is the work that a researcher should do or learn to do. In fact, in research, it is equally important to be able to find a good research problem as it is to find a good solution.

Therefore, I highly recommend to try to find a research topic by yourself, as it is important to develop this skill to become a successful researcher. If you are a student, when searching for a topic, you can ask your research advisor to guide you.

Parallel programming thesis

Also, just for fun, here is a Ph. D thesis title generator. Visited 1, times, 12 visits today Related posts:In this paper, we present Google, a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext. Google is designed to crawl and index the Web efficiently and produce much more satisfying search results than existing systems.

The prototype with a full text. With hundreds of parallel programming languages, parallel libraries, and other tools available, top scientists and engineers continue to struggle to make parallel computation work for them.

The difficulty of parallel programming is limiting the pace of scientific progress. Parallel programming design patterns or pattern languages are helpful solutions to overcome these challenges. The aim of this thesis study is to evaluate the effectiveness of a specific.

According to Carl Hewitt, unlike previous models of computation, the actor model was inspired by physics, including general relativity and quantum mechanics [citation needed].It was also influenced by the programming languages Lisp, Simula and early versions of Smalltalk, as well as capability-based systems and packet feelthefish.com development was "motivated by the prospect of highly parallel.

PARALLEL FRAMEWORKS FOR LOCALITY BASED DYNAMIC PROGRAMMING PROBLEMS Thesis submitted in partial fulīŦllment of the requirements for the degree of. Parallel programming refers to numerous programming methods aiming to take advantage of parallel computing resources provided by computers. Parallel programming is based on the simple idea that having more than one program execution simultaneously for the same problem yields faster results.

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