Ragini’s EDGE’18 paper, “Are Existing Knowledge Transfer Techniques Effective For Deep Learning on Edge Devices?” studies distributed deep learning techniques that exploit the knowledge trained from a deep network in the cloud to improve the speed and accuracy of small networks on the devices.
Ragini Sharma successfully defended her master thesis on “A Study on Knowledge Transfer Techniques to Support Deep Learning on Edge Devices”. Her work studies the use of knowledge transfer techniques to support distributed deep learning that exploits the knowledge from deep networks trained in the cloud to improve the accuracy and speed of small networks[…]
RTVirt is a new solution for enabling time-sensitive applications (such as emergency planning and management applications) on virtualized systems (such as public and private cloud systems) through cross-layer scheduling. It allows the two levels of schedulers on a virtualized system to communicate key scheduling information and coordinate on the scheduling decisions. It enables optimal multiprocessor[…]
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[…]