A Sophomoric∗ Introduction to Shared-Memory Parallelism and Concurrency Dan Grossman Version of February 23‚ 2012 Contents 1 2 Meta-Introduction: An Instructor’s View of These Notes 1.1 Where This Material Fits in a Changing Curriculum . . 1.2 Six Theses On A Successful Approach to this Material 1.3 How to Use These Notes — And Improve Them . . . . 1.4 Acknowledgments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
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CET 2123: Microcomputers and Basic Digital Communications 4/25/11 Anthony DeCamillo Serial VS Parallel The two most basic types of communication are serial and parallel. They are so common that even the cabling bears the name serial cable and parallel cable. Since electricity behaves according to the laws of physics‚ it is impossible to get the electrical signal to go any faster. There are two ways to get the data from one place to the other faster. The first is to squish the data bits tighter
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increases performance of the system. However‚ applications have to be specifically written to utilize all of the computers of the cluster. This is done through parallelization‚ which is a program that is divided into separate components that run in parallel on individual node of the cluster. Beowulf clusters also yield high availability since each node of the cluster can monitor another over LAN. If one computer fails‚ another can take over whatever task that computer was performing without much of
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demand information‚ it can reduce uncertainty throughout the supply chain and can decrease cost for production and inventory holding cost. Lead Time Better demand forecasting can also reduce lead time. Furthermore‚ HP may reduce lead time by using parallel processing together with process standardization or postponement. These methods are also relevant to a push-pull strategy. The two methods need aggregate demand forecast of finished products as HP need to know the demand for a component for all finished
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Discussion Question 1. Briefly describe Moore law. What are the implications of this law? Are there any practical limitations to Moore law? Moore’s Law is a hypothesis stating that transistor densities on a single chip double every two years. Moore ’s law describes a long-term trend in the history of computing hardware. The number of transistors that can be placed inexpensively on an integrated circuit has doubled approximately every two years. Moore ’s law is a rule of thumb in the computer
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as slow as possible with oversized goggles and a suit compressing the body so parts stuck out‚ creating drag While most of our thinking is adversarial‚ the six thinking hats technique overcomes these difficulties by forcing everyone to think in parallel. Having identified the six modes of thinking that can be accessed‚ distinct programs can be created. These are sequences of hats which encompass and structure the thinking process toward a distinct goal. A number of these are included in the materials
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Chapter 1: Technology and the Modern Enterprise Having tech knowledge is crucial in just about every sector of business‚ no matter what kind of job you have. It’s really just an intro chapter telling us that technology and technology based jobs are increasing and highly attractive‚ as they grow rapidly Strategic Information Systems * Defined by the purpose and objective by which they are created * Purpose is to fulfill organizational processing needs * Improve efficiency and success
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a plane. | | | A) | Two parallel lines | | | B) | Three points | | | C) | Two skew lines | | | D) | A line and a point | | | | | | | | 5 INCORRECT | | A(n) ________ subtends an angle which is greater than that of a semicircle | | | A) | quadrant | | | B) | segment | | | C) | secant | | | D) | major arc | | | | | | | | 6 INCORRECT | | What type of curve is created by the intersection of a plane parallel to the side of cone? | |
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video___________________________________________________14 3.2 Capturing and storing images_______________________________________15 3.3 Getting ahead with Image Acquisition________________________________16 3.4 Interfacing with PC ports___________________________________________18 3.4.1 Parallel Port____________________________________________________________18 3.4.2 Serial
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4 3 2 2 2 LIST OF ELECTIVES Code No. CS2021 CS2022 CS2023 CS2024 IT2353 Course Title SEMESTER VI – Elective I L 3 3 3 3 3 T 0 0 0 0 0 P 0 0 0 0 0 C 3 3 3 3 3 Multicore Programming Visual Programming Advanced JAVA Programming Parallel Programming Web Technology Code No. CS2028 MA2264 IT2354 CS2029 IT2043 CS2030 Course Title SEMESTER VI – Elective II L 3 3 3 3 3 3 T 0 0 0 0 0 0 P 0 0 0 0 0 0 C 3 3 3 3 3 3 www.Vidyarthiplus.com UNIX Internals Numerical
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