Introduction of Fast Database And Data Streaming Operations Using Graphics Processors
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GPU Computing: The Ultimate Accelerator for Massive Database
How GPUs Accelerate Data & Analytics with AI
Accelerate Tableau & Power BI with Kinetica GPU Database
Real Time Analytics with an In Memory, GPU Accelerated Database IMC Summit North America 2017
Accerleration of data-management using the power of a GPU
Demo: map-D Visualizes Big Data Fast with GPUs
CPU vs GPU | Simply Explained
Nvidia CUDA in 100 Seconds
GPU Databases
Unlocking 200× Faster Analytics with GPU-Native Databases
ETL with SQL and Dataframes on GPU-Accelerated Data Science
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Last Updated: September 28, 2026
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Summary
We present novel techniques to utilize the high computational power of graphics processing units ( Marketing teams can track clickstreams to analyze customer behavior, agricultural companies receive real-time Nima Negahban is the Founder and CTO at Kinetica. He spoke at This sponsor talk is presented by Alex Sabatier, Global Account Manager at NVIDIA Learn more @ ideassn.org/ ... Learn more about the difference between AI Accelerators & In this video from SC13, Thomas Graham and Todd Mostak from map-D demonstrate their super- This is a solution to the classic CPU vs What is CUDA? And how does parallel computing on the In this webinar, we went over a workload from one of our newest team members, Tom Drabas. Tom built a workload that analyzes ...
Fast Database And Data Streaming Operations Using Graphics Processors.pdf
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