Our Research >‏ Distributed Systems >‏ Projects and Demos

Projects and Demos

Some of our recent projects and demos include:
  • cSpider:  Cloud-based System for Multimedia Content Protection:  We designed a cloud-based video copy detection system for large-scale 3D video collections, called cSpider. The system creates compact signatures from videos that are fast to compute and compare, small to store, and robust against video modifications. The system maintains a large-scale distributed index of signatures on a cloud infrastructure. Utilizing the cloud, the system can scale (up and down) to different number of videos.
cSpider is currently running on the Amazon cloud and on our own local cloud. See a demo of cSpider.
  • Distributed and Approximate Big Data Analysis: This project aims to enable important machine learning algorithms to efficiently process massive datasets. We achieve this goal using two techniques: controlled approximation and elastic distribution of computation.
More info can be found in our HPDC 2012 paper.
  • gCloud: System for On-demand Sharing of GPUs in Clouds:  This project develops novel methods to efficiently share GPUs among different applications in fine-grain and on-demand manner, yielding high utilization of GPUs and reduction in the execution times of applications. The developed methods and algorithms have been integrated in the popular OpenStack cloud management software system, which is backed up and used by many companies worldwide.
More info can be found in our HPGC 2013 paper.

Follow Us

  • YouTube
  • Twitter
  • Facebook
  • RSS Feed
  • Linkedin
  • github-web.png
Back to Top

In the Media

Forbes fake news pic.jpg

Can AI Put An End To Fake News? Don't Be So Sure

07/10/2018

Fake news was the Collin’s word of the year for 2017 with good reason. In a year where politics-as-usual was torn apart at the seams, high-profile scandals rocked our faith in humanity and the ...

Read More

roadtracer.png

MIT/QCRI system uses machine learning to build road maps

22/04/2018

Map apps may have changed our world, but they still haven’t mapped all of it yet. Specifically, mapping roads can be difficult and tedious: even after taking aerial images, companies still have to ...

Read More

Economist story pic.JPG

Improving disaster response efforts through data

08/02/2018

Extreme weather events put the most vulnerable communities at high risk. How can data analytics strengthen early warning systems and and support relief efforts for communities in need? The size and ...

Read More

Events

2019

MLDAS 2019 Promo Web.JPG

(MLDAS 2019) Machine Learning and Data Analytics Symposium

Download ICS File 01/04/2019  - 02/04/2019 ,

Machine Learning and Data Analytics Symposium - MLDAS 2019 Building on the success of the three previous events , Boeing and QCRI will hold the fifth Machine Learning and Data Analytics Symposium (...

Read More

Past Events

Torralba.png

"Learning to See" Public talk by Professor Antonio Torralba (MIT-CSAIL)

Download ICS File 25/03/2019 ,

Visit by Antonio Torralba, who teaches machines to automate tasks that a human visual system can accomplish, is part of annual spring research update between QCRI and MIT-CSAIL.

Read More

QCRI CSAIL Logos.JPG

QCRI - MIT CSAIL 2019 Annual Project Review

Download ICS File 25/03/2019 ,

Executive Overview Sessions Open to publi Date: March 25, 2019 Time: 10:15AM - 5:15PM Venue: Hamad Bin Khalia Reseach Complex Multipurpose Room To view agenda, please click here . To RSVP to this ...

Read More

News

QCRI-iMMAP MOU.jpg

QCRI and iMMAP announce Memorandum of Understanding

03/03/2019

Pact aims to apply data analysis and artificial intelligence techniques to solve humanitarian problems.

Read More

UNDP workshop.JPG

UNDP partners with QCRI to use AI for social good

11/02/2019

Qatar forum on leveraging AI to solve humanitarian problems fills to capacity.

Read More

C. Mohan pic.jpg

Renowned computing expert C. Mohan to bust blockchain myths in Qatar talk

22/01/2019

Well-known inventor of database recovery algorithms to deliver keynote at QCRI's first blockchain workshop.

Read More