User:Jimagalaxy/sandbox

technology is about enabling human potential It was fun to watch Michael, who began our company out of his dormitory room on the UT campus, take the stage and share a story about the CIO of the Chinese power grid introducing himself to Michael on a recent trip to China. He remarked that “as we provide computational power, we can solve problems,” and that it was “exciting and empowering work to be a part of.” And the TeraGrid, he said, “demonstrates the power of community.” From http://en.community.dell.com/techcenter/high-performance-computing/w/wiki/2388.aspx Assymetric encryption as an example of how technology is about enabling human potential. As an student of Security, I was introduced to Cryptography by Mr. Steve Willis. He opened a door which will help me make future decisions for my career. “what do I want to be when I grow up”? I am a fifty year old urban native from Oklahoma City, Oklahoma. I emigrated to Texas ( truly a whole nother country) in 2005. After a few months unemployment, I finally secured a position with a temp firm as a clerical worker. Realizing I might be able to widen my field of opportunity by adding some of the technology I had been exposed to on the job, I updated my resume. I was hired as an helpdesk agent supporting a Celanese, global a chemical company for Accenture, a global infrastructure support consultant. Looking for a more permanent situation, I moved to a position with Perot Systems Corporation where I was told by the recruiter that Perot was known for their motto, “ Eagles don’t flock you have to find them one at a time”. However when I arrived, I was also taught that Eagles Team. My opportunity field became my dream field when Dell acquired Perot in 2009. I was introduced to the concept that not only could I succeed but was given the guidance, training and opportunity to do so. I perceive the expectation of thriving from Dell culture as an invitation to truly be all I can be. Which brings me back to Mr. Willis’ class and the and the subject of Assymmetric Encryption and how it has enabled humanity to thrive. Computational complexity theory is a branch of the theory of computation in theoretical computer science and mathematics that focuses on classifying computational problems according to their inherent difficulty, and relating those classes to each other. A computational problem is understood to be a task that is in principle amenable to being solved by a computer, which is equivalent to stating that the problem may be solved by mechanical application of mathematical steps. Human brain limitation for mechanical application of mathematical steps compared to machine built to specifically to perfom calculation. A problem is regarded as inherently difficult if its solution requires significant resources, whatever the algorithm used. The theory formalizes this intuition, by introducing mathematical models of computation to study these problems and quantifying the amount of resources needed to solve them, such as time and storage. Other complexity measures are also used, such as the amount of communication (used in communication complexity), the number of gates in a circuit (used in circuit complexity) and the number of processors (used in parallel computing). One of the roles of computational complexity theory is to determine the practical limits on what computers can and cannot do. Determing amount of processing power needed to solve problem.