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GTC ON-DEMAND

Developer - Algorithms
Presentation
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Numerical Reproducibility Challenges on Extreme Scale Multi-Threading GPUs
Abstract:
Learn how to mitigate rounding errors that can hamper result reproducibility when concurrent executions burst and workflow determinism vanishes. This talk unveils the power of mathematical methods to model rounding-errors in scientific applications and illustrates how these methods can mitigate error drifting on new generation, many-core GPUs. We will discuss performance and accuracy issues for a diverse set of scientific applications that rely on floating point arithmetic. In particular, our experimental study will cover the following exploration space: floating point format and precision (e.g., single, double, and composite precision), numerical range used by the computation, degree of multi-threading, thread scheduling scheme, and algorithmic variant.
 
Topics:
Developer - Algorithms, Computational Physics, HPC and Supercomputing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2015
Session ID:
S5245
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