Call for Sessions is expected to open in July 2013. To ensure you are notified when it opens, please sign up for announcements.
You can view GTC 2013 sessions at GTC On-Demand.
If you have any questions or would like to reach the GTC Conference Management team, please contact us.
The submission should be about your work using the GPU for parallel computing, visualization and design, and can be completed or currently in progress. If the work is currently in progress please provide additional information about when you can expect final results.
The GTC Content Committee will review, rate, and select submissions based on
If your submission is focused on a service, technology, or a new product your company is offering, please contact us for information on sponsored sessions, exhibitor and sponsorship opportunities.
How to Write a Great Session Description
The first sentence should describe what the attendee can expect to learn from your presentation. Get right to the point, avoid background your audience already knows (e.g., "Originally designed as graphics accelerators, GPUs have evolved into powerful parallel processors capable of accelerating many compute-intensive applications."). Subsequent sentences should offer more details about what will be covered and why the reader should attend. In general, go for clarity over cleverness.
GTC is soliciting 25-minute or 50-minute submissions that provide concrete examples and contain both practical and theoretical information. We require one speaker for a 25-minute session; two speakers may be accepted for a 50-minute session if you can demonstrate the second person is necessary by describing their role in the presentation.Examples of GTC submission descriptions:
Session Title: Faster, Cheaper, Better – Hybridization of Linear Algebra for GPUs
Session Description: Learn how to develop faster, cheaper and better linear algebra software for GPUs through a hybridization methodology that is built on (1) Representing linear algebra algorithms as directed acyclic graphs where nodes correspond to tasks and edges to dependencies among them, and (2) Scheduling the execution of the tasks over hybrid architectures of GPUs and multicore. Examples will be given using MAGMA, a new generation of linear algebra libraries that extends the sequential LAPACK-style algorithms to the highly parallel GPU and multicore heterogeneous architectures.
Session Title: Analysis-Driven Performance Optimization
Session Description: The goal of this session is to demystify performance optimization by transforming it into an analysis-driven process. There are three fundamental limiters to kernel performance: instruction throughput, memory throughput, and latency. In this session we will describe: how to use profiling tools and source code instrumentation to assess the significance of each limiter; what optimizations to apply for each limiter; how to determine when hardware limits are reached. Concepts will be illustrated with some examples and are equally applicable to both CUDA and OpenCL development. It is assumed that registrants are already familiar with the fundamental optimization techniques.
Session Title: Domain-Specific Languages
Session Description: Computer graphics has introduced several domain-specific languages (DSLs) that enable high performance and parallelism for narrow problem domains - RenderMan, Cg, GLSL, and recently OpenRL and OptiX. We think that similar approaches can benefit other areas of GPU computing - visualization, animation, physics simulation, or scientific data analysis. In this talk, we present Shadie, a domain-specific shading language for rapid development of complex custom volume visualizations in radiation oncology. The shaders are written in a high-level Python-like language and translated to CUDA for efficiency. We will explain how you can develop your own DSLs using source-to-source translation and a suitable backend library.