Research Project
GPU + In-Memory Data Management for Big Data Analytics
Overview
This project studies how GPU acceleration and in-memory computing can boost performance for large-scale data analytics. It focuses on the intersection of hardware acceleration and database technologies.
Our Goal
Integrate GPUs into in-memory database systems. Accelerate analytic queries for large-scale, real-time data. Benchmark GPU vs CPU trade-offs for data-intensive workloads.