計算機專業(yè)一直都留學(xué)熱門專業(yè)，而且計算機專業(yè)畢業(yè)的收入可觀。所以很多人都選擇出國留學(xué)學(xué)計算機專業(yè)。那么出國留學(xué)計算機專業(yè)的個人陳述應(yīng)該怎么寫?
學(xué)校百科網(wǎng)【出國藝術(shù)留學(xué)網(wǎng) https://www.zhixiao1.cn/liuxue/】小編為大家?guī)碛嬎銠C專業(yè)留學(xué)個人陳述，希望對大家有幫助。
Of all the areas of computer science， parallel processing fascinates me the most. The term first came to me when I read the book Computer Organization & Design： the Hardware/Software Interface as part of my Computer Architecture course. By teaching me how the performance of computers can be improved through pipelining and parallel processing， the book reshaped my thinking in computer science.
My lab experience deepened my understanding of parallel processing. In my third year， I worked on a GIFT project with Dr. Komatsu， chief researcher of IBM Tokyo Research Laboratory and Dr. Koseki， one of Dr. Komatsu''s colleagues. The project was to introduce the architecture supports that can allow compilers to derive more parallelism from programs. These architecture supports include three designs， a conditional execution mechanism to execute instructions without normal conditional jump instructions， speculative execution mechanism， and a dynamic memory disambiguation mechanism to execute memory access instructions simultaneously.
As undergraduate students seldom get to be involved in actual research， I took full advantage of the opportunity of working in the lab. I particularly enjoyed the seminars held twice a week as part of the lab work. At these seminars， I engaged in in-depth discussions with Master''s students under Dr. Komatsu''s seasoned guidance. The lab experience is adding weight and insights to my graduation paper An Improvement of Software pipelining using Loop Transformations. In this paper， I will introduce a translation algorithm using loop interchange and loop skewing. This algorithm can minimize the initiation interval of loop nest to improve the performance of software pipelining.
Through my lab experience and other research， I have developed a long-term professional objective： the advancement of the parallel processing technology. While I have strong faith in this technology， I also know its limitations as it is today. Some sequential algorithms can''t be easily translated into fast parallel algorithms and most compilers can only distribute works on one platform. Another unsettled problem is that programming parallel computers is now still a manual work. But even the modern language (like Java， C++) can do some automatic translation work. If a compiler can be developed to translate and distribute work into different platforms， personal computers will be able to work like mainframe computers at a fraction of the mainframes'' costs. This will make it possible to connect all the computers in the world and speed up all the processes.
To help take the parallel processing technology beyond what is capable of today， I have to undertake more advanced studies. This， I believe， can only be accomplished in a quality graduate program like yours. I plan to pursue a master''s degree with a concentration on paralleling and distributing compilers， operating systems or computer networks， a combination thereof. With the training that goes into such an advanced degree， I think I will be able to take great strides towards fulfilling my professional objective. When I do， I think I will be standing on the cutting-edge of the computer science.
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