PDF-Summed Area Tables using Graphics HardwareSimon Green, NVIDIA

What are Summed Area Tables SATs149integrated texture representation149Invented by Frank Crow 1984149Each texelis the sum of all texelsbelow and to the left of it149Allows rapid box fi. Check hourslibrarycolumbiaedu for library hour updates Reserve a Group Study room roomreservationsculcolumbiaedu Unattended materials may be relocated given to the security guard or turned in to Lost Found Lost Found locations Circulation Office 3 125 Bleed print area will be cut away 6pp back cover area 6pp front cover area 6pp middle area middle front area inside back cover area inside front cover area 14125 4625 14375 475 50 CD Jewel Case Inse In Section 4 of this Appendix the tables are carried out to a large number of decimal places and exact values are indicated by underlining In most of the other tables only a limited number of decimal places are given therefore making the tables bett NVIDIA . Corporation. © NVIDIA 2013. What is CUDA?. CUDA Architecture. Expose GPU parallelism for general-purpose computing. Retain performance. CUDA C/C++. Based on industry-standard C/C++. Small set of extensions to enable heterogeneous programming. Summed GDC 2005: Dynamic Glossy Environment Reflections Overview OverviewPresenting work started by Justin Hensley, Ph.D. student at UNC and a 2004 ATI Fellowship recipientSummed-area tablesUse for ITS Research Computing. Mark Reed . Objectives. Learn why computing with accelerators is important. Understand accelerator hardware. Learn what types of problems are suitable for accelerators. Survey the programming models available. D. Nehab. 1. A. Maximo. 1. R. S. Lima. 2. H. Hoppe. 3. 1. IMPA . 2. Digitok. . . 3. Microsoft Research. Linear, shift-invariant filters. But use feedback from earlier outputs. Gernot Ziegler, NVIDIA Problem Task  Compute large number of area sums over input data (one - , two - or n - dimensional, integer or float).  Example of area sum request from 1D inpu Summed . Multi-Objective Ranks. Steven Bergen and Brian J. Ross. Brock University. Department of Computer Science. St. Catharines, Ontario, . Canada L2S 3A1. sb04qv@brocku.ca, . bross@brocku.ca. Outline. Zhenyu Ye. Henk Corporaal. 5SIA0. , . TU/e, . 201. 5. Background image: . Nvidia. . Tesla P100 with Pascal. architecture. .. The GPU-CPU Gap (by . NVIDIA. ). ref: . Tesla GPU Computing Brochure. 2. Rebain. Information. Game Title: Wasteland 2. Developer: . inXile. Entertainment. Genre: Isometric RPG. Game Engine: Unity. Current Price: $40.00. ESRB Rating: . Mature. Funded through . kickstarter. Color Perception. Rods and Cones. Red Green Blue. Red Green Blue. Hue Saturation Value. Pixels. 2-D Graphics – Approaches. Sprites (pixels, created in advance and stored in a file). Primitive shapes (squares, circles, etc.). Waters. Introduction to GPU Computing. Brief History of GPU Computing. Technical Issues. Social Impact. Marketing and Ethical . Issues. Project Management. Conclusion. Table of Contents. A . GPU is . CPU Architecture. Start 1-4 instructions per cycle. Pipelined, takes 8-16 cycles to complete. Memory is slow. 1 cycle for registers ~2. 0. 2-4 cycles for L1 cache ~2. 2. 10-20 cycles for L2 cache ~2.