Congratulations to Ryunu for her presentation of USENIX ATC ’19 papers on “SmartDedup: Optimizing Deduplication for Resource-constrained Devices” and Yitao for his presentation of HotEdge ’19 workshop on “Exploring the Use of Synthetic Gradients for Distributed Deep Learning across Cloud and Edge Resources”.
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.
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
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[…]