Floating Point Sept 5, 2002. 15-213 “The course that gives CMU its Zip!”. Topics IEEE Floating Point Standard Rounding Floating Point Operations Mathematical properties. class04.ppt. Floating Point Puzzles. For each of the following C expressions, either:

ByFloating Point Sept 4, 2003. 15-213 “The course that gives CMU its Zip!”. Topics IEEE Floating Point Standard Rounding Floating Point Operations Mathematical properties. class04.ppt. Floating Point Puzzles. For each of the following C expressions, either:

ByLie-Quan (Rich) Lee, Volkan Akcelik, Ernesto Prudencio, Lixin Ge Stanford Linear Accelerator Center Xiaoye Li, Esmond Ng Lawrence Berkeley National Laboratory. Scalable Solvers in Petascale Electromagnetic Simulation.

ByWelcome to the Presentation Pang Kee Yeoh Indraneel Mitra Majid Jameel. Presentation Overview. Features of Itanium Future of Itanium Competition for Itanium. Intel Itanium Architecture.

ByWhat is GPGPU?. Many of these slides are taken from Henry Neeman’s presentation at the University of Oklahoma. Accelerators. In HPC, an accelerator is hardware component whose role is to speed up some aspect of the computing workload.

By23 September 2010. Using GPU VSIPL & CUDA to Accelerate RF Clutter Simulation. 2010 High Performance Embedded Computing Workshop. Dan Campbell, Mark McCans , Mike Davis, Mike Brinkmann dan.campbell@gtri.gatech.edu. Outline. RF Clutter Simulation Validation Approach

ByLeveraging GPUs for Application Acceleration. Using The CUDA Programming Model. Dan Ernst, Brandon Holt University of Wisconsin – Eau Claire. What is (Historical) GPGPU ?. General Purpose computation using GPU and graphics API in applications other than 3D graphics

ByQuickBasic. Jason Mallory. History. Released in 1985 Version 2 introduced the IDE in 1986 Version 4.5 released in 1988 QBasic was distributed with DOS 5.0 + BASIC Professional Development System. Data Types. String Integer Long Integer Single Precision Double Precision. Data Types.

ByOverflow. Range of whole numbers We can check the range of whole numbers of a computer using the following formula: Example, for an 8-bit, the range is as follows: -2⁸⁻¹ to +2⁸⁻¹ - 1 = -2⁷ to +2⁷ - 1 = -128 to +127. What is overflow?

ByComputer Storage & Representing Numbers. CE 311 K - Introduction to Computer Methods Daene C. McKinney. Introduction. Computer Storage Binary Numbers Bits & Bytes Computer Storage and Number Representation. Computer Storage. Numbers and letters - not stored using symbols we recognize

ByMemory. Jerry Lebowitz. Memory. Topics. Storing Integers Fixed Point Floating Point. Computer Memory. All numbers are stored using bits (on or off) Binary Computers must deal with discrete values. Range of Integers. -28 decimal is 1110 0100 (binary) or E4 (hex)

ByThe Potential of the Cell processor for Scientific Computing. Samuel Williams, John Shalf, Leonid Oliker, Shoaib Kamil, Parry Husbands, Katherine Yelick Lawrence Berkeley National Laboratory ACM International Conference on Computing Frontiers May 2-6, 2006, Italy Presentation by Aarul Jain.

ByInstructor: Yaohang Li. Computer Architecture & Operations I. Review. Last Class Exponent Fraction Std 754-1985 Single Precision Double Precision This Class Quiz Floating Point Operations Next Class Final Review. Floating-Point Addition. Consider a 4-digit decimal example

ByCSCE 212 Chapter 3: Arithmetic for Computers. Instructor: Jason D. Bakos. Lecture Outline. Review of topics from 211 Overflow Binary Multiplication Binary Division IEEE 754 Floating Point Floating-Point Addition and Multiplication MIPS Floating-Point. Review.

ByLecture 11 Oct 12. Floating-point numbers Circuits for floating-point operations. Floating-point Representation - Basics. Floating-point numbers - provide a dynamic range of representable real numbers

ByFloating Point Representation. Major: All Engineering Majors Authors: Autar Kaw, Matthew Emmons http://numericalmethods.eng.usf.edu Transforming Numerical Methods Education for STEM Undergraduates. Floating Point Representation http://numericalmethods.eng.usf.edu.

ByFloating Point Analysis Using Dyninst. Mike Lam University of Maryland, College Park Jeff Hollingsworth, Advisor. Background. Floating point represents real numbers as (± sgnf × 2 exp ) Sign bit Exponent Significand ( “ mantissa ” or “ fraction ” ) Finite precision

ByModifying Floating-Point Precision with Binary Instrumentation. Michael Lam University of Maryland, College Park Jeff Hollingsworth, Advisor. Background. Floating-point represents real numbers as (± sgnf × 2 exp ) Sign bit Exponent Significand ( “ mantissa ” or “ fraction ” )

ByArithmetic III CPSC 321. Andreas Klappenecker. Any Questions?. Today’s Menu. Addition Multiplication Floating Point Numbers. Recall: Full Adder. c in. s. a. b. c out. 3 gates delay for first adder, 2(n-1) for remaining adders. Ripple Carry Adders. Each gates causes a delay

ByInstructor: Yaohang Li. Computer Architecture & Operations I. Review. Last Class Midterm Review This Class Division Floating Point Numbers Next Class Floating Point Operations Final Exam May. 1, 2014 (3:45PM-6:45PM). Division. Check for 0 divisor Long division approach

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