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GPUs for Accelerating Analytics and Machine Learning

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GPU acceleration is changing the game for fast data analytics, for location-based analytics and for predictive analytics. The unique multi-core architecture of GPUs make it possible to process many computations efficiently and quickly. Kinetica is an analytics database that is designed to take advantage of the parallel processing power of the GPU and is ideal for powering IoT use cases as well as for fast high-speed data ingest and real-time data analytics.

Join Karthik Lalithraj – Principal Solution Architect at Kinetica and Ettikan Karuppiah from NVIDIA to learn more about:

  • How a GPU-accelerated database can deliver 100x performance improvements on a fraction of the hardware of CPU-bound systems
  • Discover how in-database analytics on a GPU-powered database streamlines and powers machine learning and deep learning workloads
  • Analyze and visualize data from billions of geospatial objects, on a map, in real-time.

About the Speakers

Karthik Lalithraj

Karthik is a Principal Solutions Architect at Kinetica. With over 18 years of software experience in a variety of roles and responsibilities, Karthik takes a holistic view at software architecture with special emphasis on helping enterprise IT organizations improve their service availability, application performance and scale. Karthik has successfully helped recruit, build enterprise teams; architect, design and implement business and technical solutions with numerous customers in various business verticals.

Ettikan Karuppiah

Ettikan Karuppiah is Director of Developer Ecosystem for NVIDIA. With almost 20 years of technical, design and architectural experience in embedded and distributed software engineering, Ettikan is passionate for the opportunities GPUs are bringing to high performance computing. Ettikan has previously worked with Intel, Panasonic, MIMOS and most recently as GM for Computational Sciences Division at TM R&D. Ettikan has over 50 international patents filed and has is a well published author. Ettikan brings his diverse R&D and leadership experience, and combines it with a visionary, innovative, people focused approach.

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