PPT-© David Kirk/NVIDIA and Wen-mei W. Hwu, 2007-2009

ECE 498AL University of Illinois UrbanaChampaign 1 GPU Programming with CUDA David KirkNVIDIA and Wenmei W Hwu 20072009 ECE 498AL University of Illinois UrbanaChampaign 2 A quiet revolution and potential buildup. Why NVIDIA GeForce Motherboard GPUs? NVIDIA The Biochemistry of Detoxification. 1. Disclosure. David Quig is the Vice President, Scientific Support for Doctor’s Data, Inc.. Environmental Toxins. C.D.C.. . “The epidemic of epidemics of . mei. W. . Hwu. , 2007-2012 . University . of Illinois, Urbana-Champaign. 1. CS/EE 217. GPU Architecture and Parallel . Programming. Project . Kickoff. Two flavors. Application. Implement/optimize an realistic application on GPGPUs. mei. W. . Hwu. , . University of Illinois, 2007-2012. 1. CS/EE 217 GPU Architecture and . Parallel Programming. Lecture . 12. Parallel Computation Patterns – Parallel Prefix Sum (Scan) Part-2. 2. Recall: a. University . of Illinois, 2007-2012. CS/EE 217. GPU Architecture and Parallel Programming. Lecture . 6: . DRAM Bandwidth. 1. Objective. To understand DRAM bandwidth. Cause of the DRAM bandwidth problem. and Scholar. s. Symposium to . h. onour. our great friend and colleague on his retirement . from Princeton. AJS Smith. June 17, 2016. Early days: Kirk in Tucson, class of ‘66 . Grad School at Caltech 1966-71. NVivo. . 8. David . Palfreyman. Outline. Qualitative data and how to analyze it.. Your data. Nvivo. 8. 2 March 2007. David Palfreyman. Types of qualitative data. 2 March 2007. David . Palfreyman. Interviews. II. GPGPUs. Instructor:Mikko. H . Lipasti. Spring 2015. University of Wisconsin-Madison. Lecture notes based on slides created by John . Shen. , Mark Hill, David Wood, . Guri. . Sohi. , Jim Smith, Natalie Enright . and CUDA. Lecture for CPSC 5155. Edward Bosworth, Ph.D.. Computer Science Department. Columbus State University. The Graphics Coprocessor. From the earliest VGA designs, the graphics unit has been designed as a special purpose processor, attached to the CPU using a. 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. mei. W. . Hwu. University of Illinois, 2007-2012. 1. CS/EE 217. GPU Architecture and Parallel Programming. Lecture 15:. Atomic Operations and . Histogramming. - Part 2. 2. Objective. To learn practical histogram programming techniques. Photo: School children learned about insects from Gina Penny and Jeff Ogdenfrom DNR, Insectary.Taken by Simon Mutabazi during the field day on September 14, 2007. presented by David Harris, DNR Regio Correspondingauthoraddress:V.Misra,DepartmentofEarth,OceanandAtmosphericSciences,TheFloridaStateUniversity, SeetheappendixforthecalculationofTIKE.2013MISRAETAL.DOI:10.1175/MWR-D-12-00349.12013American Pharmacology&Therapeutics134(2012)43 DES,drug-elutingstent(s);PES,paclitaxel-elutingstent(s);SES,sirolimus-elutingstent(s);SS,shearstress.Correspondingauthorat:BrighamandWomen'sHospital,HarvardMedical