Category Archives: Graduate students life

Pulling off an all nighter

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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Tickets and more tickets

Now working on my Scrum board for my parallel programming class. I am trying out JetBrain’s free version of YouTrack for task management. As of now, I would say Jira’s task management is more intuitive to use and the user … Continue reading

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Hell weeks ahead

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

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

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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Some exciting new developments

Ever since I came to work at my first ever and still current workplace, our team has been more into developing information systems and sometimes enterprise resource planning software (ERP). This involves having working knowledge of the current technologies, methods, … Continue reading

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Masters thesis and parallel computing

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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