Introduction of Fast Database And Data Streaming Operations Using Graphics Processors
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How do Graphics Cards Work Exploring GPU Architecture
GPU Databases
Unlocking 200× Faster Analytics with GPU-Native Databases
Quickly Capture & Process Fast Streaming Data with VoltDB
Accerleration of data-management using the power of a GPU
Demo: map-D Visualizes Big Data Fast with GPUs
GPU Computing: The Ultimate Accelerator for Massive Database
A GPU Database for Advanced Analytics // Nima Negahban, Kinetica (FirstMark's Data Driven)
OmniSci.jl: Bringing GPU-accelerated Relational Database to Julia | Randy Zwitch | JuliaCon 2019
Converged Machine Learning, Streaming Analytics, and BI with a GPU-Accelerated Database
How GPUs Accelerate Data & Analytics with AI
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Last Updated: October 26, 2026
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Summary
We present novel techniques to utilize the high computational power of graphics processing units ( What is CUDA? And how does parallel computing on the Marketing teams can track clickstreams to analyze customer behavior, agricultural companies receive real-time VoltDB is an in-memory, relational, scale-out In this video from SC13, Thomas Graham and Todd Mostak from map-D demonstrate their super- This sponsor talk is presented by Alex Sabatier, Global Account Manager at NVIDIA Learn more @ ideassn.org/ ... Nima Negahban is the Founder and CTO at Kinetica. He spoke at OmniSci (formerly MapD) is an open-source relational Kinetica's VP of Product Manan Goel at Strata + Hadoop San Jose 2017. Learn more about the difference between AI Accelerators &
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