'Input matrix' presentation slideshows

BIND: A Fine-grained attestation Service for Secure Distributed Systems

BIND: A Fine-grained attestation Service for Secure Distributed Systems. Presented by: Maryam Alipour-Aghdam University of Guelph. Overview. Motivation BIND Overview BIND Interface BIND Properties Application of BIND. Overview. Motivation BIND Overview BIND Interface

646 views • 47 slides

Structure and Synthesis of Robot Motion Making Sense of Sensorimotor Systems

Structure and Synthesis of Robot Motion Making Sense of Sensorimotor Systems. Subramanian Ramamoorthy School of Informatics 26 January, 2012. What do you Need to Know about your Robot?. Recap: What Problem is the Robot Solving?. Perception. High-level goals. Adversarial

514 views • 35 slides

JPEG

813 views • 33 slides

Presenter: Dr. Alejandro Castillo Atoche

Aggregation of Parallel Computing and Hardware/Software Co-Design Techniques for High-Performance Remote Sensing Applications. Presenter: Dr. Alejandro Castillo Atoche. 2011/07/25. IGARSS’11. Outline. Introduction Previous Work HW/SW Co-design Methodology

523 views • 31 slides

Matrix Factorization

Matrix Factorization. Reporter : Sun Yuanshuai E-mail : sunyuanshuai@gmail.com. 1. MF Introduction. 2. Application Area. 3. My Work. 4. Difficulty in my work. Content. MF Introduction.

1.03k views • 24 slides

Taking CUDA to Ludicrous Speed

Taking CUDA to Ludicrous Speed. Getting Righteous Performance from your GPU. Performance: How Much Is Enough? (CPU Edition). Could I be getting better performance? Probably a little bit. Most of the performance is handled in HW How much better?

299 views • 22 slides

Wagon Wheel (radian measure & unit circle)

Wagon Wheel (radian measure & unit circle). Warm up. A Trick That May Help You Remember. Today:. Trig refresher Calculator 101 Field Observations Round Robin (20 min each) Calculator SmartBoard Computer Lab online tutorials Case 3 Madness. Solving Equations. System of Equations:.

345 views • 21 slides

PARALLELIZED CONVOLUTION

PARALLELIZED CONVOLUTION. Convolution. Convolution is a mathematical operation on two functions A function derived from two given functions by integration that expresses how the shape of one is modified by the other. The Mathematical expression for basic two dimensional convolution is.

317 views • 18 slides

Hardware Image Signal Processing and Integration into Architectural Simulator for SoC Platform

Hardware Image Signal Processing and Integration into Architectural Simulator for SoC Platform. Hao Wang University of Wisconsin, Madison. Outline. Introduction on SoC Motivation Verilog implementation of JPEG encoder Integrated SoC simulator Future work. System-on-Chip Platform.

280 views • 16 slides

Discrete-Time State-Space Equations

1.68k views • 12 slides

A Parallel Implementation of the Discrete Wavelet Transform for Image Compression

A Parallel Implementation of the Discrete Wavelet Transform for Image Compression. Andria Dyess Proposal for EE 691/2. Presentation Overview. What is the Discrete Wavelet Transform (DWT)? Applications in Image Compression Sequential DWT Algorithm Possible Parallel Approaches

351 views • 10 slides