What’s Next for GraphLab
By Emad Soroush, University of Washington GraphLab is a distributed engine specialized for graph processing. At the Intel Science and Technology Center for Big Data Research Retreat held earlier this year, ISTC Principal Investigator Carlos Guestrin from University of Washington described … Continue reading →
Fast Data Access in the Execution Migration Machine
By Jingjing Wang, University of Washington The Execution Migration Machine (EM2) project, by Srini Devadas and his team from MIT CSAIL, proposes a novel solution for caching and data consistency when there are a huge number of processors. A real … Continue reading →
BlueSSD: A Multi-Access, Multi-SSD Reconfigurable Platform for Big Data
By Jingjing Wang, University of Washington At the Intel Science and Technology Center for Big Data Research Retreat earlier this year, Arvind of MIT CSAIL introduced a new storage architecture specially designed for large-scale, distributed data management tasks. Usually, when … Continue reading →
What’s New
- Solving the “One Concurrency Control Does Not Fit All” Problem for OLTP Databases
- Improving Clinical Decision-Making with Big Data
- ISTC Releases Open Source Code for BigDAWG Polystore System
- ISTC Researchers Present Work at NEDB Day 2017
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