Central Connecticut State University, CS 210
Excerpt: ... Parallel Computing Instructor: Dmitri A. Gusev Fall 2007 CS 210: Computing and Culture Lecture 7, October 15, 2007 von Neumann Architecture Problem 1 The flow of data between processor and memory is the bottleneck of a sequential computer Problem 2 Processor speeds continue to increase very fast much faster than either DRAM or disk access times Design challenge: dealing with this growing disparity Non- von Neumann Architectures Synchronous processing: Multiple processors apply the same program in lock-step to multiple data sets Non- von Neumann Architectures (contd) Pipelining processing: Multiple processors are arranged in tandem, where each contributes one part of an overall computation Non- von Neumann Architectures (contd) A shared memory configuration: Multiple processors share a global memory Deadlock Deadlock is a condition when two or more processes are each waiting for another to release a resource, or more than two processes are waiting for resources i ...
Laurentian, CPSC 3615
Excerpt: ... CS3615: Assignment 1 Due Date: 10.7.2004 Assignments will be accepted only at the beginning of the lecture 1) Search the Internet/library for information about the work of Zuse and how it differs from that of Von Neumann . Especially, clearly identify those Von Neumann principles absent in Zuse's work. 2) Give the binary representation of 34, 107, and 2012. What is the decimal value of: 10001111, 11111111, and 00011100? 3) Define the following terms in your own words: CPU, ALU, control unit, memory, instruction, address, interpretation, hierarchy, VonNeumann bottleneck, sequential processing, stored program concept. 4) In what respect is interpretation more general than translation? What benefits could a combination of both techniques bring? 5) Describe the interpretation elements (SYNT, SEM, .) of a handheld calculator. 6) Suppose you intend to analyze the performance of an interpretation. Identify the needed FUs and the type of tasks they work with. ...
Princeton, PUP 100
Excerpt: ... 1942 Finite Dimensional Vector Spaces (Click here to view our web site description.) Paul R. Halmos A s a newly minted Ph.D., Paul Halmos came to the Institute for Advanced Study in 1938 -even though he did not have a fellowship-to study among the many giants of mathematics who had recently joined the faculty. He eventually became John von Neumann 's research assistant, and it was one of von Neumann 's inspiring lectures that spurred Halmos to write Finite Dimensional Vector Spaces. The book brought him instant fame as an expositor of mathematics. Finite Dimensional Vector Spaces combines algebra and geometry to discuss the three-dimensional area where vectors can be plotted. The book broke ground as the first formal introduction to linear algebra, a branch of modern mathematics that studies vectors and vector spaces. The book continues to exert its influence sixty years after publication, as linear algebra is now widely used, not only in mathematics but also in the natural and social sciences, for studyi ...
Oregon State, ECE 112
Excerpt: ... HW 7 - Not to turn in, just for review of lecture. Be able to define or explain the following terms: - Von Neumann architecture -Harvard architecture - Von Neumann bottleneck -Bus -Register -Cache Memory -RISC -CISC Be able to answer the following: -What are the two basic principles that make caches work. -What does the "clock" do in a microprocessor? -What are the differences between RISC and CISC? -What are the 6 steps taken by a computer to execute a program? -For a RISC computer, what are the three basic types of instruction? ...
Princeton, PHI 538
Excerpt: ... References [1] Jacques Dixmier. C -algebras. North-Holland Publishing Co., Amsterdam, 1977. Translated from the French by Francis Jellett, North-Holland Mathematical Library, Vol. 15. [2] Jacques Dixmier. von Neumann algebras, volume 27 of North-Holland Mathematical Library. North-Holland Publishing Co., Amsterdam, 1981. With a preface by E. C. Lance, Translated from the second French edition by F. Jellett. [3] Richard V. Kadison and John R. Ringrose. Fundamentals of the theory of operator algebras. Vol. I, volume 15 of Graduate Studies in Mathematics. American Mathematical Society, Providence, RI, 1997. Elementary theory, Reprint of the 1983 original. [4] Richard V. Kadison and John R. Ringrose. Fundamentals of the theory of operator algebras. Vol. II, volume 16 of Graduate Studies in Mathematics. American Mathematical Society, Providence, RI, 1997. Advanced theory, Corrected reprint of the 1986 original. [5] Gerard J. Murphy. C -algebras and operator theory. Academic Press Inc., Boston, MA, 1990. [6] Sh^i ...
Laurentian, CPSC 200401
Excerpt: ... that supercomputers are very expensive. PC people like the structure (or the mess?) of PCs. Same thing for PC operating systems. Academics plead for new architecture principles but (wrongly?) without success: Dataflow machines Reduction machines Object-oriented machines 4 Goals of the Lectures Basic knowledge in computer architecture. Understanding the functionality of conventional computers (up to 99%) Understanding of the main evaluation criterion of computers, namely, performance. Programming of machines at the lowest level using assembly languages. Knowing the MIPS architecture and its assembly language. Basic knowledge for other fields: Operating systems Compilers Performance evaluation Systems programming Microprogramming And remember, you want to call yourself computer scientist, so you have to know about computers. 5 Von Neumann Architecture Principles (there are some!) of todays computer systems ...
Oregon State, ECE 112
Excerpt: ... HW 8 - Not to turn in, just for review of lecture. Be able to define or answer the following: -Define what a microcontroller is. -Name 5 different I/O that might be supplied on a microcontroller. -Is the PIC16F84 a Harvard or von Neumann style architecture? -What is "assembly language"? -What is special about the "W" register on a PIC16F84? ...
NYU, G22 3220
Excerpt: ... G22.3220-001 Cryptography and Imperfect Randomness January 24, 2006 Lecture 2 Lecturer: Yevgeniy Dodis Scribe: Carl Bosley and Jonghaw Lee Administrative notes: Everyone should sign up for the mailing list. Everyone who takes the class for credit is expected to do scribe notes, so be sure to sign up soon. Perfect randomness is often impractical and hard to obtain. So how do we make use of the imperfect randomness sources? This lecture we look at some examples of randomness extraction: Von Neumann s Coin, Markov Chains and Blums extraction. 1 Imperfect Randomness Randomness is used everywhere in Cryptography. Our examples last lecture assumed unbiased, independent random bits. This assumption is too strong for many real scenarios: Physical sources (hard disk latency, etc) are not truly independent and unbiased. Biometrics Partial key exposure Attacker learns part of the secret key, e.g. by microwaving a smartcard Question: Can we base cryptography on weaker (more realistic) assumptio ...
Montana, EE 367
Excerpt: ... EE 367 Logic Design Lecture #29 Agenda 1. von Neumann Stored Program Computer Architecture Announcements (Monday, 4/14) n/a EE 367 Logic Design Spring 2008 Lecture #29 Page 1 von Neumann Computer von Neumann Stored Program Computer - "Stored Program" means the HW is designed to execute a set of pre-defined instructions - the program and data reside in a storage unit (i.e., memory) - to change the functionality of the computer, the program is changed (instead of the HW) - John von Neumann was a mathematician who described a computer architecture where the instructions and data reside in the same memory - this implies sequential execution - it is simple from the standpoint of state machine timing - the drawback is the " von Neumann bottleneck" in getting data into and out of memory in order for the computer to run - this architecture is what we are using in the labs on the Freescale microcontrollers EE 367 Logic Design Spring 2008 Lecture #29 Page 2 von Neumann Computer ...
San Diego State, MATH 693
Excerpt: ... (h, k) 0 l2 blomgren@terminus.SDSU.EDU http:/terminus.SDSU.EDU $Id: lecture.tex,v 1.6 2008/01/31 23:12:51 blomgren Exp $ L2 Analysis of Finite Difference Schemes: Fourier Analysis; Von Neumann Analysis p. 1/27 Analysis of Finite Difference Schemes: Fourier Analysis; Von Neumann ...