11 citations · 15 across the 8 of their papers we have counts for
8 papers
Pushing the Performance Envelope of DNN-based Recommendation Systems Inference on GPUs
Rishabh Jain, Vivek M. Bhasi, Adwait Jog +3
Personalized recommendation is a ubiquitous application on the internet, with many industries and hyperscalers extensively leveraging Deep Learning Recommendation Models (DLRMs) fo…
ACIC: Admission-Controlled Instruction Cache
Yunjin Wang, Chia-Hao Chang, Anand Sivasubramaniam +1
The front end bottleneck in datacenter workloads has come under increased scrutiny, with the growing code footprint, involvement of numerous libraries and OS services, and the unpr…
Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks
Morteza Ramezani, Weilin Cong, Mehrdad Mahdavi +2
Despite the recent success of Graph Neural Networks (GNNs), training GNNs on large graphs remains challenging. The limited resource capacities of the existing servers, the dependen…
GraphGuess: Approximate Graph Processing System with Adaptive Correction
Morteza Ramezani, Mahmut T. Kandemir, Anand Sivasubramaniam
Graph-based data structures have drawn great attention in recent years. The large and rapidly growing trend on developing graph processing systems focuses mostly on improving the p…
IoTRepair: Systematically Addressing Device Faults in Commodity IoT (Extended Paper)
Michael Norris, Berkay Celik, Patrick McDaniel +4
IoT devices are decentralized and deployed in un-stable environments, which causes them to be prone to various kinds of faults, such as device failure and network disruption. Yet,…
Predicting vehicular travel times by modeling heterogeneous influences between arterial roads
Avinash Achar, Venkatesh Sarangan, R Rohith +1
Predicting travel times of vehicles in urban settings is a useful and tangible quantity of interest in the context of intelligent transportation systems. We address the problem of…
Data Center Cost Optimization Via Workload Modulation Under Real-World Electricity Pricing
Cheng Wang, Bhuvan Urgaonkar, Qian Wang +2
We formulate optimization problems to study how data centers might modulate their power demands for cost-effective operation taking into account three key complex features exhibite…
Optimal Power Cost Management Using Stored Energy in Data Centers
Rahul Urgaonkar, Bhuvan Urgaonkar, Michael J. Neely +1
Since the electricity bill of a data center constitutes a significant portion of its overall operational costs, reducing this has become important. We investigate cost reduction op…