Tag Archives: graduate studies

Pulling off an all nighter

Posted on November 7, 2016 by Jeffrey A. Aborot

I was able to finalize my tickets for my CS 239 requirements this sem. Tonight I will work on my thesis first then will move on to drafting my code for my parallel programming project in CS 239. This will … Continue reading →

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Hell weeks ahead

Posted on November 6, 2016 by Jeffrey A. Aborot

I have a project paper and presentation on parallel programming (using CUDA) due on two weeks from now and I haven’t started my project yet. Add to that I still need to prove the correctness of two algorithms for my … Continue reading →

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A synthesis of the paper entitled “The future of supercomputing” by M. Snir, 2014

Posted on September 1, 2016 by Jeffrey A. Aborot

Introduction Marc Snir presented a high-level picture of the current status of technologies for supercomputing, the current challenges threatening the continuation of advancements in CMOS-based components and the possible tracks for coping up with such challenges in his talk outlined … Continue reading →

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A synthesis of the paper entitled “GPUs: a closer look” by K. Fatahalian and M. Houston, 2008

Posted on September 1, 2016 by Jeffrey A. Aborot

Introduction The authors of GPUs: a closer look [Fatahalian and Houston, 2008] provides the reader a high-level overview of the inner workings of a graphics processing unit (GPU) outlined as a computing pipeline. This pipeline is an interleaving of program … Continue reading →

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Home is whenever Iā€™m with you.

Posted on August 31, 2016 by Jeffrey A. Aborot

At last! I was able to go home to visit my parents for four days. Yesterday, Monday, was National Heroes Day so I booked my return flight for today, Tuesday. I was able to treat them to a movie which … Continue reading →

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Masters thesis and parallel computing

Posted on August 28, 2016 by Jeffrey A. Aborot

I am currently taking a course on Parallel Computing this semester under Dr. F. Cabarle. The course will require programming on a graphics processing unit (GPU) using CUDA C by NVIDIA. It has been a while since I have written … Continue reading →

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