'Floating point operations' presentation slideshows

Beyond Beauty: JavaFX , Parallax, Touch, Gyroscopes and Much More

Beyond Beauty: JavaFX , Parallax, Touch, Gyroscopes and Much More. Angela Caicedo Java Evangelist, Oracle. What Is this Talk About?. Looking for a better UIs Current UI are so static, too flat, but the use of 3D will be too much . Specially for Embedded

883 views • 72 slides

Multicore Applications Team

Multicore Applications Team. KeyStone C66x Multicore SoC Overview. KeyStone Overview. KeyStone Architecture CorePac & Memory Subsystem Interfaces and Peripherals Coprocessors and Accelerators Debug. Enhanced DSP core. Performance improvement. 100% upward object code compatible

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Chapter 2

Chapter 2. Evolution of the Major Programming Languages. Amid the strife of war. 1936-1945 Konrad Zuse (Tsoo-zuh) Built a series of complex computers from electromechanical relays Developed a language called Plankalkul for expressing computations Unpublished until 1972.

870 views • 64 slides

Multicore Applications Team

Multicore Applications Team. KeyStone C66x Multicore SoC Overview. KeyStone Overview. KeyStone Architecture CorePac & Memory Subsystem Interfaces and Peripherals Coprocessors and Accelerators Debug. Enhanced DSP core. Performance improvement. 100% upward object code compatible

826 views • 62 slides

Lecture 10 Buses, CPU and I/O System

Lecture 10 Buses, CPU and I/O System. Pradondet Nilagupta Spring 2000. Buses, CPU and I/O System. HSA - hardware system architecture Specifies the structural characteristics: organization of hardware elements performance

814 views • 58 slides

MacLennan

MacLennan. Chapter 1 The Beginning: Pseudo-code Interpreters. History and Motivation. Programming is difficult. Because of its complexity, dealing with many different details at one time. Programming early computers was especially difficult.

777 views • 58 slides

High-Performance Grid Computing and Research Networking

High-Performance Grid Computing and Research Networking. Introduction to High Performance Computing. Instructor: S. Masoud Sadjadi http://www.cs.fiu.edu/~sadjadi/Teaching/ sadjadi At cs Dot fiu Dot edu. Acknowledgements.

663 views • 53 slides

CS267/E233 Applications of Parallel Computers Lecture 1: Introduction

CS267/E233 Applications of Parallel Computers Lecture 1: Introduction. James Demmel demmel@cs.berkeley.edu www.cs.berkeley.edu/~demmel/cs267_Spr05. Outline. Introduction Large important problems require powerful computers Why powerful computers must be parallel processors

700 views • 52 slides

Introduction to Parallel Computing

Introduction to Parallel Computing. Outline. Introduction Large important problems require powerful computers Why powerful computers must be parallel processors Why writing (fast) parallel programs is hard Principles of parallel computing performance Structure of the course.

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CS267/E233 Applications of Parallel Computers Lecture 1: Introduction

CS267/E233 Applications of Parallel Computers Lecture 1: Introduction. James Demmel demmel@cs.berkeley.edu www.cs.berkeley.edu/~demmel/cs267_Spr05. Outline. Introduction Large important problems require powerful computers Why powerful computers must be parallel processors

435 views • 43 slides

CS267/E233 Applications of Parallel Computers Lecture 1: Introduction

CS267/E233 Applications of Parallel Computers Lecture 1: Introduction. Kathy Yelick yelick@cs.berkeley.edu http://inst.eecs.berkeley.edu/~cs267. Outline. Introduction Large important problems require powerful computers Why powerful computers must be parallel processors

1.03k views • 42 slides

CS267/E233 Applications of Parallel Computers Lecture 1: Introduction

CS267/E233 Applications of Parallel Computers Lecture 1: Introduction. James Demmel demmel@cs.berkeley.edu www.cs.berkeley.edu/~demmel/cs267_Spr05. Outline. Introduction Large important problems require powerful computers Why powerful computers must be parallel processors

427 views • 42 slides

Floating Point 15-213: Introduction to Computer Systems 4 th Lecture, Sep 6, 2012

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Floating Point 15-213: Introduction to Computer Systems 4 th Lecture, Sep 8, 2011

547 views • 41 slides

CALCOLO SCIENTIFICO (PARALLELO)

Corso di Laurea Magistrale e Dottorati in Matematica Applicata. CALCOLO SCIENTIFICO (PARALLELO). Prof. Luca F. Pavarino Dipartimento di Matematica Universita` di Milano a.a. 2007-2008 pavarino@mat.unimi.it, http://www.mat.unimi.it/~pavarino. Struttura del corso. Orario

537 views • 41 slides

Lecture 8 Advanced Pipeline

Lecture 8 Advanced Pipeline. Interrupts. Interrupts: 5 instructions executing in 5-stage pipeline How to stop the pipeline? How to restart the pipeline? Who caused the interrupt?. Stage Exceptional Conditions IF Page fault on instruction fetch;

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Sparse Direct Solvers on High Performance Computers

Sparse Direct Solvers on High Performance Computers. X. Sherry Li xsli@lbl.gov http://crd.lbl.gov/~xiaoye CS267: Applications of Parallel Computers March 2, 2005. Review of Gaussian Elimination (GE). Solving a system of linear equations Ax = b First step of GE: Repeats GE on C

548 views • 40 slides

CHAPTER 2: HOW DOES THE COMPUTER REALLY WORK

CHAPTER 2: HOW DOES THE COMPUTER REALLY WORK. Introduction to Computer Science Using Ruby. Basic Nomenclature & Components of a Computer System . A computer system has: A main computer A set of peripheral devices . A digital computer has three main parts:

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Understanding Performance Counter Data

Load/Store Machine. How to calculate cache-miss rate with performance counters on the POWER 3? Available events: Load miss @ L1 Load dispatched Load completed Store miss @ L1 Store dispatched Store completed. PIPELINE. COMPLETED. DISPATCHED.

112 views • 1 slides