Data and memory

Dr. John P. Abraham, Professor Until now we have talked about variables that hold values of differing data types. For example: int x =20; The memory location referenced by x has a value of 20. float y=21.22; The memory location referenced by y has a value of 21.22. In early chapters we discussed that a variable name is an alias for a memory address. What if we wanted to know the address of the memory location where the inter variable x that has a value of 20 is stored? We can use the address operator &x to do that....

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Another class of linear codes, known as Convolutional codes. We study the structure of the encoder. We study different ways for representing the encoder.Convolutional codes offer an approach to error control coding substantially different from that of block codes. A convolutional encoder: encodes the entire data stream, into a single codeword. does not need to segment the data stream into blocks of fixed size (Convolutional codes are often forced to block structure by periodic truncation). is a machine with memory.

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After completing this lesson, you should be able to do the following: Describe different system architectures Describe the primary steps of OS tuning Identify similarities between OS and DB tuning Understand virtual memory and paging Explain the difference between a process and a thread

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After completing this lesson, you should be able to do the following: Monitor and size the redo log buffer Monitor and size the Java pool Control the amount of Java session memory used by a session

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Course Objectives This course is the first in a series of courses that cover the core database administrator tasks. The tasks covered in this course are: Outlining the Oracle architecture Planning and creating databases Managing the memory, process, physical, and logical structures Managing database users by controlling and monitoring their actions Using the Globalization Support features

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EURASIP Journal on Applied Signal Processing 2003:6, 514–529 c 2003 Hindawi Publishing Corporation Memory-Optimized Software Synthesis from Dataflow Program Graphs with Large Size Data Samples Hyunok Oh The School of Electrical Engineering and Computer Science, Seoul National University, Seoul 151-742, Korea Email: oho@comp.snu.ac.kr Soonhoi Ha The School of Electrical Engineering and Computer Science, Seoul National University, Seoul 151-742, Korea Email: sha@comp.snu.ac.

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