SUBMISSION EXAMPLE
How to Write a Great Session Title
Your session title is what gets the reader to read the first sentence of the session description. Clearly articulated session titles that have clear learning objectives along with a touch of style greatly increase the chance that conference attendees will attend the session.
The title should follow these rules:
- Be USEFUL to the reader
- Provide the reader with a sense of URGENCY
- Convey the idea that there is a UNIQUE benefit to attending
- Be SPECIFIC
How to Write a Great Session Description
The first sentence should describe what the attendee can expect to learn from your presentation (e.g. "Learn about extensions that enable efficient use of PGAS models.") 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.
The description should begin with an action word such as:
Learn how to…
Explore new techniques in…
Hear product experts explain how…
See the newest features in…
Dive deep into the…
Join industry experts for a discussion on…
Get the latest information on…
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: A New Approach to Determining Performance Thresholds
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.