Fast Database And Data Streaming Operations Using Graphics Processors

Media Summary: We present novel techniques to utilize the high computational power of graphics processing units ( VoltDB is an in-memory, relational, scale-out What is CUDA? And how does parallel computing on the

Fast Database And Data Streaming Operations Using Graphics Processors - Detailed Analysis & Overview

We present novel techniques to utilize the high computational power of graphics processing units ( VoltDB is an in-memory, relational, scale-out What is CUDA? And how does parallel computing on the In this video from SC13, Thomas Graham and Todd Mostak from map-D demonstrate their super- In this video from the Nvidia booth at SC13, Tom Graham presents: Map-D: Kinetica's VP of Product Manan Goel at Strata + Hadoop San Jose 2017.

RapiDB The Next Generation GPU Powered In-Memory Database and Analytics

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Fast Database and Data Streaming Operations using Graphics Processors

Quickly Capture & Process Fast Streaming Data with VoltDB

How do Graphics Cards Work? Exploring GPU Architecture

GPU Databases

Unlocking 200× Faster Analytics with GPU-Native Databases

Nvidia CUDA in 100 Seconds

Demo: map-D Visualizes Big Data Fast with GPUs

Introducing SQream DB - The GPU-accelerated data warehouse for massive data

Map-D: GPU-Powered Databases & Interactive Social Science Research in Real Time

Accerleration of data-management using the power of a GPU

Converged Machine Learning, Streaming Analytics, and BI with a GPU-Accelerated Database

Streaming SQL by Julian Hyde, Architect, Hortonworks