'Vector operations' presentation slideshows

Libraries and Their Performance

Libraries and Their Performance. Frank V. Hale Thomas M. DeBoni NERSC User Services Group. Part I: Single Node Performance Measurement. Use of hpmcount for measurement of total code performance Use of HPM Toolkit for measurement of code section performance

1.09k views • 81 slides

Chapter 7: Vectors and the Geometry of Space

Chapter 7: Vectors and the Geometry of Space. Section 7.1 Vectors in the Plane. Written by Dr. Julia Arnold Associate Professor of Mathematics Tidewater Community College, Norfolk Campus, Norfolk, VA With Assistance from a VCCS LearningWare Grant.

816 views • 68 slides

Processor

Processor. Hakim Weatherspoon CS 3410, Spring 2013 Computer Science Cornell University. See P&H Chapter 2.16-20, 4.1-4. Big Picture: Building a Processor. memory. register file. inst. alu. +4. +4. addr. =?. PC. d in. d out. control. cmp. offset. memory. new pc. target.

759 views • 60 slides

Introduction to Vectors

Introduction to Vectors. UNIT 1. What is a Vector? . A vector is a directed line segment, can be represented as AB or AB, where A and B are the two endpoints of the line segment. Directed means that the vector has a direction. QUESTION: Which direction is implied for vector AB?.

617 views • 43 slides

Skadu : Efficient Vector Shadow Memories for Poly- Scopic Program Analysis

Skadu : Efficient Vector Shadow Memories for Poly- Scopic Program Analysis. Donghwan Jeon * , Saturnino Garcia + , and Michael Bedford Taylor UC San Diego. Attain Their Inner Speedup. Helping Serial Programs. * Now at Google, Inc. + Now at University of San Diego.

445 views • 34 slides

GP GPU Applications and Simulations

426 views • 33 slides

Basic STL

Basic STL. Joe Meehean. C-style Strings Problems. need a function to figure out its size no way to know its capacity is it safe to append to the string functions divorced from object and they have weird names cannot do simple deep copy assignment or construction 3 steps to make a copy.

438 views • 30 slides

Ray Tracing, Part 2

Christian Lauterbach COMP 770, 2/16/2009. Ray Tracing, Part 2. Overview. Acceleration structures Spatial hierarchies Object hierarchies Interactive Ray Tracing techniques Ray packets Optimized hierarchy construction. Last lecture. Ray Tracing For each pixel: generate ray

429 views • 28 slides

CS 404: Survey and Use of Software Libraries for Scientific Computing

CS 404: Survey and Use of Software Libraries for Scientific Computing. Andrew Pershing 3134 Snee Hall ajp9@cornell.edu 255-5552. Outline. Course Description Details Policies Intro to CIS Tools Curriculum Basic Concepts Intro to vectors and matrices. Course Goals. This course will:

389 views • 28 slides

C 0 /2

Lecture 2 Some basic functions and their application in biology. C 0 /2. C 0 /2. C 1 /2. C 1 /2. C 2 /2. C 2 /2. The exponential function is a general description of a random process , where the probability of a certain event is independent of time.

316 views • 24 slides

A Low-Power Handheld GPU using Logarithmic Arithmetic and Triple DVFS Power Domains

A Low-Power Handheld GPU using Logarithmic Arithmetic and Triple DVFS Power Domains. Byeong-Gyu Nam, Jeabin Lee, Kwanho Kim, Seung Jin Lee, and Hoi-Jun Yoo. Outline. Backgrounds Proposed Handheld GPU Low-Power Vertex Shader Low-Power Rendering Engine Triple-Domain DVFS Evaluation Results

503 views • 23 slides

CS U540 Computer Graphics

348 views • 23 slides

Course Outline

Course Outline. Introduction in algorithms and applications Parallel machines and architectures Overview of parallel machines, trends in top-500 Cluster computers, BlueGene Programming methods, languages, and environments Message passing (SR, MPI, Java)

308 views • 22 slides

10.2 day 1: Vectors in the Plane

10.2 day 1: Vectors in the Plane. Mesa Verde National Park, Colorado. Photo by Vickie Kelly, 2003. Greg Kelly, Hanford High School, Richland, Washington. Warning: Only some of this is review . Quantities that we measure that have magnitude but not direction are called scalars .

371 views • 21 slides

Derived Quantities

Derived Quantities. July 2013. What are Derived Quantities?. Derived quantities are produced using data from kernels These are the primary reason that SPICE exists! Examples are: Lighting conditions Surface intercept (LAT/LON) General geometry Coordinate system conversions

397 views • 20 slides

LINEAR MODELS AND MATRIX ALGEBRA - Part 2

LINEAR MODELS AND MATRIX ALGEBRA - Part 2. Chapter 4 Alpha Chiang, Fundamental Methods of Mathematical Economics 3 rd edition. Vector Operations. Multiplication of vectors

695 views • 12 slides

AMS 200 Week 3

AMS 200 Week 3. Computing Resources and Electronic Resources. Hongyun Wang <hongwang@ams.ucsc.edu>. SOE Computing Resources. http://support.soe.ucsc.edu/. Unix/Linux Servers Compute cluster Interactive servers Compute servers. Printing

355 views • 10 slides

Hardware Acceleration Using GPUs

Hardware Acceleration Using GPUs. M Anirudh Guide: Prof. Sachin Patkar VLSI Consortium April 4, 2008. Advantages of Using Graphics Processors. Parallel architectures with lots of ALUs High memory bandwidth Cheap, fast and scalable New generation within 2 years High Gflops/$. Cons.

162 views • 7 slides

Parallel Matlab: RTExpress on 64-bit SGI Altix with SCSL and MPT

Parallel Matlab: RTExpress on 64-bit SGI Altix with SCSL and MPT. Cosmo Castellano castellano@sensors.com Integrated Sensors, Inc 502 Court Street Suite 210 Utica, NY 13502 (315) 798-1377 www.sensors.com. Matlab FFT Benchmark Test on Shared Memory SGI.

209 views • 5 slides

Ye Zhao, Zhe Fan, Wei Li, Arie Kaufman and Suzanne Yoakum-Stover

Melting of a chocolate vase due to LBM-based hot air flow. Lattice-Based Flow Simulation on GPU. Ye Zhao, Zhe Fan, Wei Li, Arie Kaufman and Suzanne Yoakum-Stover Center for Visual Computing and Department of Computer Science, Stony Brook University

139 views • 1 slides