PDF-CUDA Warps and OccupancyCUDA Warps and Occupancy
Author : conchita-marotz | Published Date : 2015-12-04
GPU Computing Webinar 7122011 Dr Justin Luitjens NVIDIA Corporation Dr Steven Rennich NVIDIA Corporation Fermi Architecture SM
Presentation Embed Code
Download Presentation
Download Presentation The PPT/PDF document "CUDA Warps and OccupancyCUDA Warps and O..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.
CUDA Warps and OccupancyCUDA Warps and Occupancy: Transcript
GPU Computing Webinar 7122011 Dr Justin Luitjens NVIDIA Corporation Dr Steven Rennich NVIDIA Corporation Fermi Architecture SM. Basically a child CUDA Kernel can be called from within a parent CUDA kernel and then optionally synchronize on the completion of that child CUDA Kernel The parent CUDA kernel can consume the output produced from the child CUDA Kernel all withou t . Acknowledgement: the lecture materials are based on the materials in NVIDIA teaching center CUDA course materials, including materials from Wisconsin (. Negrut. ), North Carolina Charlotte (. Wikinson. Ankit Sethia. 1. , Ganesh Dasika. 2. , . Mehrzad. Samadi. 1. ,. Scott Mahlke. 1. 1-University of Michigan. 2-ARM R&D Austin. 1. Introduction. 2. High Throughput – 1 . TeraFlop. . High Energy Efficiency. Loose Round Robin (LRR). Goes around to every warp . and issue if ready (R). If warp is not ready (W), . skip and issue next ready warp. Issue: Warps all run at the same speed,. potentially all reaching memory access. Håkon Kvale . Stensland. Simula Research Laboratory. PC Graphics Timeline. Challenges. :. Render infinitely complex scenes. And extremely high resolution. In 1/60. th. of one second (60 frames per second). Lecture 5: GPU Compute . Architecture. 1. Last time.... GPU Memory System. Different kinds of memory pools, caches, . etc. Different optimization techniques. 2. Warp Schedulers. Warp schedulers find a warp that is ready to execute its next instruction and available execution cores and then start execution. Room-Level Zoning . of a Centralized HVAC System. Tamim Sookoor and . Kamin. Whitehouse. April 11, 2013. 4. th. International Conference on Cyber-Physical Systems (ICCPS). 2. US Residential Energy Use*. Presentation to HCBS Conference Arlington, VA September 18, 2014. Leslie Hendrickson. Hendrickson Development . Gain better understanding of factors affecting NF occupancy. Built two models and studied important zero-order correlations.. introduce the use of multiple CUDA streams to overlap memory transfers with kernel computations.. Also introduced is paged-locked memory. 2. Page-locked host memory. (also called pinned host memory). Key to in-class exercise are in . blue. 1. Jan 8, . 2016. AEC 501. Nathan J. . Hostetter. njhostet@ncsu.edu. Occupancy. Abundance often most interesting variable when analyzing a population. Occupancy – probability that a site is occupied. Patch Occupancy and Patch Dynamics Single species, Single Season Occupancy The Problem Primarily interested in the proportion of sites that are occupied or the probability a particular site is occupied What is CUDA?. Data Parallelism. Host-Device model. Thread execution. Matrix-multiplication . GPU revised!. What is CUDA?. C. ompute . D. evice . U. nified . A. rchitecture. Programming interface to GPU. Joe Ameen, Head of Access Services. Elizabeth Salmon, Research Services Librarian. UC Merced Library. Ongoing Assessment Questions. How is our community using physical Library spaces?. What non-circulation questions are being asked at our customer service points?. Ragesh. Kumar Ramachandran and Spring Berman. Autonomous collective systems Laboratory. Robotic Embedded Systems Laboratory. Motivation. Basic idea. Scalar field associated with occupancy grid maps..
Download Document
Here is the link to download the presentation.
"CUDA Warps and OccupancyCUDA Warps and Occupancy"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.
Related Documents