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2020 – today
- 2022
[c16]Avinash Kumar Chaurasia, Anshuj Garg, Bhaskaran Raman, Uday Kurkure, Hari Sivaraman, Lan Vu, Sairam Veeraswamy:
Simmer: Rate proportional scheduling to reduce packet drops in vGPU based NF chains. ICPP 2022: 44:1-44:11- 2021
- [c15]Chandra Prakash, Anshuj Garg, Umesh Bellur, Purushottam Kulkarni, Uday Kurkure, Hari Sivaraman, Lan Vu:
Optimizing Goodput of Real-time Serverless Functions using Dynamic Slicing with vGPUs. IC2E 2021: 60-70
2010 – 2019
- 2019
- [c14]Agatha Tutia, Kelda Baljon, Lan Vu, Daniela K. Rosner:
HCI and Menopause: Designing With and Around the Aging Body. CHI Extended Abstracts 2019 - [c13]Anshuj Garg, Purushottam Kulkarni, Uday Kurkure, Hari Sivaraman, Lan Vu:
Empirical Analysis of Hardware-Assisted GPU Virtualization. HiPC 2019: 395-405 - [c12]Hari Sivaraman, Uday Kurkure, Lan Vu:
TECN: Task Selection and Placement in GPU Enabled Clouds Using Neural Networks. HPCS 2019: 890-896 - [c11]Anshuj Garg, Uday Kurkure, Hari Sivaraman, Lan Vu:
Virtual Machine Placement solution for VGPU enabled Clouds. HPCS 2019: 897-903 - 2018
- [c10]Uday Kurkure, Hari Sivaraman, Lan Vu:
Virtualized GPUs in High Performance Datacenters. HPCS 2018: 887-894 - [c9]Hari Sivaraman, Uday Kurkure, Lan Vu:
Task Assignment in a Virtualized GPU Enabled Cloud. HPCS 2018: 895-900 - [c8]Lan Vu
, Uday Kurkure, Hari Sivaraman, Aravind Bappanadu:
Large Scale Application Response Time Measurement Using Image Recognition and Deep Learning. ISVC 2018: 511-526 - 2017
- [c7]Atul Pandey, Lan Vu, Vivek Puthiyaveettil, Hari Sivaraman, Uday Kurkure, Aravind Bappanadu:
An Automation Framework for Benchmarking and Optimizing Performance of Remote Desktops in the Cloud. HPCS 2017: 745-752 - [c6]Uday Kurkure, Hari Sivaraman, Lan Vu:
Machine Learning Using Virtualized GPUs in Cloud Environments. ISC Workshops 2017: 591-604 - 2015
- [j2]Lan Vu, Gita Alaghband:
Efficient Algorithms for Mining Frequent Patterns from Sparse and Dense Databases. J. Intell. Syst. 24(2): 181-197 (2015) - [c5]Lan Vu, Gita Alaghband:
A load balancing parallel method for frequent pattern mining on multi-core cluster. SpringSim (HPS) 2015: 49-58 - [c4]Lan Vu, Gita Alaghband:
A self-adaptive method for frequent pattern mining using a CPU-GPU hybrid model. SpringSim (HPS) 2015: 192-201 - 2014
- [j1]Lan Vu, Gita Alaghband:
Novel parallel method for association rule mining on multi-core shared memory systems. Parallel Comput. 40(10): 768-785 (2014) - [c3]Lan Vu, Hari Sivaraman, Rishi Bidarkar:
GPU virtualization for high performance general purpose computing on the ESX hypervisor. SpringSim (HPS) 2014: 2 - 2013
- [c2]Lan Vu, Gita Alaghband:
Novel parallel method for mining frequent patterns on multi-core shared memory systems. DISCS@SC 2013: 49-54 - 2012
- [c1]Lan Vu, Gita Alaghband:
High performance frequent pattern mining on multi-core cluster. CTS 2012: 630-633
Coauthor Index
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