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GTC On-Demand

Computational Biology and Chemistry
Presentation
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Using OpenACC for NGS Techniques to Create a Portable and Easy-to-Use Code Base
Sunita Chandrasekaran (University of Delaware)
Happy with your code but re-writing every time a hardware platform changes? Know NVIDIA CUDA but want to use a higher-level programming model? OpenACC is a directive-based technique that enables more science and less programming. The model facilitate ...Read More
Happy with your code but re-writing every time a hardware platform changes? Know NVIDIA CUDA but want to use a higher-level programming model? OpenACC is a directive-based technique that enables more science and less programming. The model facilitates reusing code base on more than one platform. This session will help you: (1) Learn how to incrementally improve a bioinformatics code base using OpenACC without losing performance (2) Explore how to apply optimization techniques and the challenges encountered in the process. We'll share our experience using OpenACC for DNA Next Generation Sequencing techniques.  Back
 
Keywords:
Computational Biology and Chemistry, Programming Languages, Performance Optimization, GTC Silicon Valley 2017 - ID S7341
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