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2019 GTC San Jose
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S9359 - Real-Time Connection-Based Filtering to Improve the Precision of the Search Engine in Life Sciences

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Session Description

We'll talk about how we built a GPU-Accelerated system for real-time information retrieval from large datasets in life sciences. Unstructured textual data is full of phrases and words that have multiple meanings, making it difficult for current information-retrieval algorithms to find relevant documents. We'll describe our knowledge graph-based filtering mechanism for more precise real-time information retrieval. We outline how we accelerated the embedding generation process, treating it as an optimization problem and running it on NVIDIA Tesla V100 GPU cores. We'll also cover how we reduced the latency in distance computation using TensorRT.


Additional Information
AI Application Deployment/Inference
AI Application Deployment/Inference, Deep Learning - Speech/Language Processing
Intermediate technical
Talk.1
50 minutes
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