Last Updated:
07
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14
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2010
GPU Computing Online Seminars
This series covers many topics and range of technical levels ranging from introductions to optimization techniques, presented by invited guests or NVIDIA DevTech Engineers with additional staff online to answer questions. Tutorials cover many topics including CUDA C, the OpenCLTMAPI , CUDA Fortran, Microsoft's DirectCompute and many others. Previously recorded sessions are available for downloading and offline viewing. We use gotowebinar by Citrix, which currently requires Windows or MAC client. Please follow the links to register for each webinar you would like to attend. Advance registration is required, once registered you will be kept informed of any updates to the schedule, informed of future webinars and added to our CUDA Alerts list. Please visit this site regularly for new webinars and other great GPU Computing topics.
Please note all times are in Pacific Time,
- See Below for recording of Last Webinar
Learn how to take advantage of NVIDIA GPUs with the new MainConcept CUDA H.264 Video Encoder, which delivers as much as 700% faster video encoding performance improvements over CPU. Presented by MainConcept, an industry-leading supplier of video and audio codec solutions for the Multimedia, Consumer Electronics, Broadcast & Professional video production, Digital Signage, Medical, Security.
Learn how to use advanced Debugging, Profiling and Memory Analysis features in gDEBugger CL to quickly find bugs, monitor memory consumption, and optimize parallel computing applications. Presented by Graphic Remedy, makers of gDEBugger for OpenGL, OpenGL ES, iPhone, and now OpenCL
OpenCL Studio combines OpenCL and OpenGL into a single integrated development environment that allows you to visualize OpenCL computation using 3D rendering techniques. This webinar provides an overview of its power features.
Monitoring and Managing GPU clusters with Bright Cluster Manager, 1.5 hrs
Presented by CEO and Founder of Bright Computing, Dr. Matthijs van Leeuwen
This technical presentation about Bright Cluster Manager a complete cluster management software solution that offers comprehensive functionality for monitoring and managing GPUs
An introduction to the basics of GPU computing using CUDA C. Concepts will be illustrated with walkthroughs of code samples. No prior GPU Computing experience required.
First level optimization techniques such as global memory optimization, and processor utilization. Concepts will be illustrated using real code examples.
GPU Computing using CUDA C - Advanced 2, 1.5 hrs
Advanced topics such as execution configuration, instruction and warp optimization with a focus on real applications.
GPU Computing using OpenCL- An Introduction, 1.5 hrs
An introduction to the OpenCL API leveraging NVIDIA's CUDA parallel computing architecture. Topics covered include comparison between CUDA C and OpenCL API, memory and threading models. No prior GPU Computing experience is required.
GPU Computing using OpenCL Advanced 1, 1.5 hrs
NVIDIA presents tricks and tips on how to write great OpenCL code. Topics covered include memory usage best practises, achieving best processor occupancy and instruction throughput.
This Webinar will provide an overview of the powerful features of Parallel Nsight - NVIDIA's latest tool to help develop, debug and analyse parallel code on CPU's and GPUs
New Webinars Coming Soon - see below for previous recordings.
Thrust is a powerful C++ standard template library providing highly optimized highlevel CUDA C kernels which can be be a fast track for adding GPU acceleration to existing applications. Thrust is one of NVIDIA many open source projects. This Webinar provides an overview and example uses
CUDA C - An Introduction
CUDA C - Advanced 1
CUDA C - Advanced 2
OpenCL - An Introduction
OpenCL - Advanced 1
Thrust - An Introduction
Parallel Nsight - An Overview
PGI Fortran - An Overview
Introduction to MainConcept's CUDA H.264/AVC Encoder
DirectCompute for GPU Computing – an Introduction by Microsoft
An Introduction to the MAGMA project - acceleration of dense linear algebra
An Introduction to CULA GPU Accelerated Linear Algebra
Rapid Application Development platform for GPGPUs – Jacket with MATLAB®
OpenCL is trademark of Apple Inc. used under license to the Khronos Group Inc.
