Cloud Computing Performance, Satisfaction Guaranteed
Dr. Ming Zhao brings cloud computing service companies a step closer to providing reliable performance guarantees.
Author: user
Distributed Deep Learning Published on EDGE’18
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.
Congrats on Ragini’s master degree
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 published on EuroSys
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 online to support energy-efficient big-data research
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.
HPDC’18 Call for Papers, Workshop Proposals, and Sponsors
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[…]
DataStorm: new NSF-sponsored project on data-enabled disaster management
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
Runyu and Qirui tied the knot! Congrats!
Congratulations to Runyu and Qirui on their wedding!
HPDC’16 paper on big-data I/O
Congratulations to Yiqi for his new HPDC’16 papers on “IBIS: Interposed Big-data I/O Scheduler”!
Congratulations to Dr. Arteaga and Dr. Xu
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.