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Floating Point Sept 5, 2002

Floating Point Sept 5, 2002

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:

By kira
(95 views)

Floating Point Sept 4, 2003

Floating Point Sept 4, 2003

Floating 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:

By rendor
(165 views)

Scalable Solvers in Petascale Electromagnetic Simulation

Scalable Solvers in Petascale Electromagnetic Simulation

Lie-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.

By mick
(86 views)

Welcome to the Presentation Pang Kee Yeoh Indraneel Mitra Majid Jameel

Welcome to the Presentation Pang Kee Yeoh Indraneel Mitra Majid Jameel

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

By elliot
(205 views)

What is GPGPU?

What is GPGPU?

What 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.

By raymond
(158 views)

Using GPU VSIPL & CUDA to Accelerate RF Clutter Simulation

Using GPU VSIPL & CUDA to Accelerate RF Clutter Simulation

23 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

By varick
(133 views)

Using The CUDA Programming Model

Using The CUDA Programming Model

Leveraging 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

By lesa
(95 views)

QuickBasic

QuickBasic

QuickBasic. 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.

By gala
(93 views)

Overflow

Overflow

Overflow. 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?

By oceana
(103 views)

Computer Storage & Representing Numbers

Computer Storage & Representing Numbers

Computer 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

By toan
(119 views)

Memory

Memory

Memory. 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)

By sora
(134 views)

The Potential of the Cell processor for Scientific Computing

The Potential of the Cell processor for Scientific Computing

The 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.

By leland
(71 views)

Computer Architecture & Operations I

Computer Architecture & Operations I

Instructor: 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

By lavey
(106 views)

CSCE 212 Chapter 3: Arithmetic for Computers

CSCE 212 Chapter 3: Arithmetic for Computers

CSCE 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.

By diella
(137 views)

Lecture 11 Oct 12

Lecture 11 Oct 12

Lecture 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

By ted
(131 views)

Floating Point Representation

Floating Point Representation

Floating 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.

By jud
(151 views)

Floating Point Analysis Using Dyninst

Floating Point Analysis Using Dyninst

Floating 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

By vaughn
(96 views)

Modifying Floating-Point Precision with Binary Instrumentation

Modifying Floating-Point Precision with Binary Instrumentation

Modifying 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 ” )

By diep
(223 views)

Arithmetic III CPSC 321

Arithmetic III CPSC 321

Arithmetic 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

By marrim
(83 views)

Computer Architecture & Operations I

Computer Architecture & Operations I

Instructor: 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

By betsy
(158 views)

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