GEARS is an enerGy-Efficient big-datA Research System at Arizona State University, for studying heterogeneous and dynamic data by employing heterogeneous computing and storage resources and co-designing the software and hardware components of the system. GEARS is sponsored by National Science Foundation award CNS-1629888. Read more about it here.
The 27th ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC’18) is calling for papers, workshop proposals, and sponsors! HPDC is the premier annual conference for presenting the latest research on the design, implementation, evaluation, and the use of parallel and distributed systems for high-end computing. It will be hosted at ASU during the week[…]
VISA lab and its collaborators are awarded a grant to support the research on DataStorm – A Data Enabled System for End-to-End Disaster Planning and Response, by National Science Foundation
Congratulations to Runyu and Qirui on their wedding!
Congratulations to Yiqi for his new HPDC’16 papers on “IBIS: Interposed Big-data I/O Scheduler”!
VISA students Dulcardo Arteaga and Yiqi Xu are officially Dr. Arteaga and Dr. Xu! Congratulations to their great accomplishments and the top-notch research results that they have produced over their PhD study journeys.
VISA Lab has received a new NSF award to start a three-year project on Non-volatile memory (NVM) enabled host-side caches. NVM is a transformative technology that is dramatically changing how data storage systems of the future are built. This technology allows an unprecedented combination of performance and persistence into a single device. This project will develop[…]
Congratulations to Dulcardo, Jorge, Wenji, and Greg for their new FAST’16 papers on “CloudCache: On-demand Flash Cache Management for Cloud Computing” and “CacheDedup: In-line Deduplication for Flash Caching“! Great work!!
VISA student Dulcardo Arteaga was invited to present his work on cloud caching at the The 6th Student Workshop on Cloud and Data Services
Saman presented his work “Enabling Scientific Data Storage and Processing on Big-data Systems” at 2015 IEEE International Conference on Big Data (BigData 2015).