Category: Junior (2013)

This homework asks me to implement newton method with a relative fast calculation. In the beginning, I try to simply run my calculation with parallel calculation in C++; however, it takes around `23916.17` CPU time. Later, I use C++ with `blas` library, which allows me to implement newton method using matrix calculation. At the end,

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In this project, there are receiver, agent, and sender, which have their own main cpp files but share some functionalities in file named `common.h`. The task of this project is to balance the transmission loading from sender to receiver through varied numbers of agents. The transmitted file can be any format of file, including `txt`,

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In this homework, I have three components: server, client, and executor. For server, I use `epoll` to ensure its ability to work with multiple clients. For client, I also use `epoll`, so that it can take care of the feedbacks from server as well as standard inputs at the same time. At the end, I

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This is a bonus report for me. In this homework, I work on accelerate matrix calculation with `collapse` command; however, naive approaches will incur race condition. Thus, guarantees of the independent calculation of each block is very crucial in this task.

In this homework, I am asked to examine the behavior of L1 and L2 caches under different settings, including comparisons between `bitcnts.x86` and `susan`, comparisons with different cache sizes, and comparisons between advanced optimizations.

Some textbook exercises, which relates to instructions, cycles, ratios for computing time and routing time, simply assembly codes, and address calculations.