GPGPUs and CUDA Guest Lecture Computing with GPGPUs Raj Singh National Center for Microscopy and Imaging Research.
Nvidia CUDA Programming Basics Xiaoming Li Department of Electrical and Computer Engineering University of Delaware.
Jie Chen. 30 Multi-Processors each contains 8 cores at 1.4 GHz 4GB GDDR3 memory offers ~100GB/s memory bandwidth.
L16: Introduction to CUDA November 1, 2012 CS4230.
CUDA. Assignment Subject: DES using CUDA Deliverables: des.c, des.cu, report Due: 12/14, [email protected].
Nvidia CUDA Programming Basics
Outline
CUDA
IT Looking Forward Priorities and plans Jon Collins, Managing Director Freeform Dynamics Ltd [email protected] April 2010
1 CENG 545 Lecture 2: Introduction to CUDA. Credits The material used in this presentation is based on code available in: –the Tutorial on CUDA in Dr.
1 Goal: Consider some of the parallel opportunities on the horizon.