GTC 2012 Program Guide - GPU Technology Conference

MONDAY
application data for optimized performance. A programming
demonstration of shared memory will be delivered.
Introduction to the GPU Architecture and Memory Model
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Shared memory
Constant memory
Global memory
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Speaker(s): Chris Mason (Product Manager, Acceleware)
Topic(s): Parallel Programming Languages and Compilers,
Development Tools & Libraries (Beginner)
MONDAY, MAY 14, 10:30 (80 MINUTES)
PRE-CONFERENCE TUTORIAL - ROOM A5
S0624 Introduction to CUDA C
Starting with a background in C or C++, learn everything you need
to know in order to start programming in CUDA C. Beginning with
a “Hello, World” CUDA C program, explore parallel programming
with CUDA through a number of hands-on code examples.
Examine more deeply the various APIs available to CUDA
applications and learn the best (and worst) ways in which to
employ them in applications.
Speaker(s): Justin Luitjens (Devtech Engineer, NVIDIA)
Topic(s): Programming Languages & Techniques (Beginner)
MONDAY, MAY 14, 13:00 (80 MINUTES)
PRE-CONFERENCE TUTORIAL - ROOM B
S0517B Programming GPUs with OpenACC (Part 2 of 3)
OpenACC is a programming standard for parallel computing on
accelerators (including GPUs) using directives. It is designed to
harness the transformative power of heterogeneous computing
systems easily and quickly. In this tutorial you will learn how to
add simple compiler hints to your code to expose parallelism to
the compiler, allowing it to map computation onto an accelerator.
OpenACC directives allow developers to make simple and
portable code changes, enabling an easier migration to
accelerated computing.
This is part 2 of a 3-part tutorial that will take you from an
overview through how to optimize your code. The tutorial starts
with an overview of OpenACC programming in which you will learn
about applying basic OpenACC directives to your code, with
examples. You will also learn more about how GPUs execute
parallel programs, and apply this understanding to optimizing
more advanced OpenACC examples to gain larger speedups and
accelerate applications with various types of parallelism.
Lastly, you will see how to use NVIDIA profiling tools to target
your optimizations.
Speaker(s): Mark Harris (Chief Technologist, GPU Computing, NVIDIA),
Duncan Poole (Senior Manager, HPC, NVIDIA), Cliff Woolley (CUDA
Developer Technology Engineer, NVIDIA)
Topic(s): Parallel Programming Languages & Compilers (Beginner)
MONDAY, MAY 14, 13:00 (80 MINUTES)
PRE-CONFERENCE TUTORIAL - ROOM A2
S0530 Multi-Display Roundtable
Join NVIDIA product manager and application engineers for
multi-display systems for an interactive discussion on the
current trends in video walls, blended multi-projector systems
and its deployment.
Speaker(s): Andrew Page (Senior Product Manager, NVIDIA), Shalini
Venkataraman (Senior Applied Engineer, NVIDIA), Ian Williams (NVIDIA)
Topic(s): Visualization (Beginner)
MONDAY, MAY 14, 13:00 (80 MINUTES)
PRE-CONFERENCE TUTORIAL - ROOM A3
S0604 NVIDIA Advanced Rendering Solutions
The full range of advanced rendering solutions and frameworks
from NVIDIA will be explored in this insightful product and
technology discussion and demonstration. Come learn about the
latest possibilities involving advanced rendering techniques and
how they integrate within commercial products – from production
ray tracing to volumetric and distributed rendering.
Speaker(s): Phillip Miller (Director, Workstation Software Product
Management, NVIDIA)
Topic(s): Ray Tracing (Advanced)
MONDAY, MAY 14, 13:00 (80 MINUTES)
PRE-CONFERENCE TUTORIAL - ROOM C
S0616 Part 3: Debugging GPU Programs (Presented
by Acceleware)
Get the low down on debugging your GPU program. This session
includes discussion on debugging techniques and tools to help
you identify issues in your kernels. The latest debugging tools
provided in CUDA 4.1 including Parallel NSight, cuda-gdb and
cuda-memcheck will be discussed. A programming
demonstration of Parallel NSight will be provided.
Debugging GPU Programs
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Speaker(s): Chris Mason (Product Manager, Acceleware)
Topic(s): Parallel Programming Languages and Compilers,
Development Tools & Libraries (Beginner)
MONDAY, MAY 14, 13:00 (80 MINUTES)
PRE-CONFERENCE TUTORIAL - ROOM A5
S0629 CUDA Accelerated Compute Libraries
The libraries distributed in the CUDA SDK and offered by third
parties provide a wealth for functions commonly encountered in a
GPU acceleration project. Using these libraries can often
significantly shorten the development time of a GPU project while
leading to high-performance, high-quality software. In this
tutorial, we will provide an overview of the libraries in the CUDA
SDK, including cuBLAS, cuRAND, NPP and Thurst and introduce
common use cases. The audience will not only learn about the
strengths of the individual libraries, but also learn about the
decision making process to select the best suited library for
their project.
Speaker(s): Peter Messner (NVIDIA)
Topic(s): Parallel Programming Languages & Compilers (Beginner)
MONDAY, MAY 14, 13:00 (80 MINUTES)
PRE-CONFERENCE TUTORIAL - ROOM A8
S0630 Part 1 of 2: Programming Heterogeneous Manycores
Using Directives (Presented by CAPS)
Directive-based programming is a very promising technology to
deal with Many-Core. In this context, HPC users can rely on
emerging standards such as OpenACC and OpenHMPP. CAPS will
introduce OpenACC and HMPP directive-based programming