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Lifeng Nai
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2020 – today
- 2024
- [i4]Yuqi Xue, Yiqi Liu, Lifeng Nai, Jian Huang:
Hardware-Assisted Virtualization of Neural Processing Units for Cloud Platforms. CoRR abs/2408.04104 (2024) - 2023
- [c18]Cheng Fu, Hanxian Huang, Zixuan Jiang, Yun Ni, Lifeng Nai, Gang Wu, Liqun Cheng, Yanqi Zhou, Sheng Li, Andrew Li, Jishen Zhao:
TripLe: Revisiting Pretrained Model Reuse and Progressive Learning for Efficient Vision Transformer Scaling and Searching. ICCV 2023: 17107-17117 - [c17]Yuqi Xue
, Yiqi Liu
V10: Hardware-Assisted NPU Multi-tenancy for Improved Resource Utilization and Fairness. ISCA 2023: 24:1-24:15 - [c16]Norman P. Jouppi
TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings. ISCA 2023: 82:1-82:14 - [i3]Norman P. Jouppi, George Kurian, Sheng Li, Peter C. Ma, Rahul Nagarajan, Lifeng Nai, Nishant Patil, Suvinay Subramanian, Andy Swing, Brian Towles, Cliff Young, Xiang Zhou, Zongwei Zhou, David A. Patterson:
TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings. CoRR abs/2304.01433 (2023) - 2021
- [c15]Tianqi Tang, Sheng Li, Lifeng Nai, Norman P. Jouppi, Yuan Xie:
NeuroMeter: An Integrated Power, Area, and Timing Modeling Framework for Machine Learning Accelerators Industry Track Paper. HPCA 2021: 841-853 - 2020
- [i2]Alexandru Iosup, Ahmed Musaafir, Alexandru Uta, Arnau Prat-Pérez, Gábor Szárnyas, Hassan Chafi, Ilie Gabriel Tanase, Lifeng Nai, Michael J. Anderson, Mihai Capota, Narayanan Sundaram, Peter A. Boncz, Siegfried Depner, Stijn Heldens, Thomas Manhardt, Tim Hegeman, Wing Lung Ngai, Yinglong Xia:
The LDBC Graphalytics Benchmark. CoRR abs/2011.15028 (2020)
2010 – 2019
- 2019
- [j5]Lifeng Nai
Thermal-aware processing-in-memory instruction offloading. J. Parallel Distributed Comput. 130: 193-207 (2019) - 2018
- [b1]Lifeng Nai:
Enabling Efficient Graph Computing with Near-data Processing Techniques. Georgia Institute of Technology, Atlanta, GA, USA, 2018 - [j4]Hyojong Kim, Ramyad Hadidi
CODA: Enabling Co-location of Computation and Data for Multiple GPU Systems. ACM Trans. Archit. Code Optim. 15(3): 32:1-32:23 (2018) - [c14]Lifeng Nai, Ramyad Hadidi, He Xiao, Hyojong Kim, Jaewoong Sim, Hyesoon Kim:
CoolPIM: Thermal-Aware Source Throttling for Efficient PIM Instruction Offloading. IPDPS 2018: 680-689 - 2017
- [j3]Lifeng Nai
Exploring big graph computing - An empirical study from architectural perspective. J. Parallel Distributed Comput. 108: 122-137 (2017) - [j2]Ramyad Hadidi, Lifeng Nai, Hyojong Kim, Hyesoon Kim:
CAIRO: A Compiler-Assisted Technique for Enabling Instruction-Level Offloading of Processing-In-Memory. ACM Trans. Archit. Code Optim. 14(4): 48:1-48:25 (2017) - [c13]Qingsong Wen
Finding Top K Shortest Simple Paths with Improved Space Efficiency. GRADES@SIGMOD/PODS 2017: 13:1-13:6 - [c12]Lifeng Nai, Ramyad Hadidi
GraphPIM: Enabling Instruction-Level PIM Offloading in Graph Computing Frameworks. HPCA 2017: 457-468 - [c11]Jen-Cheng Huang, Lifeng Nai, Pranith Kumar, Hyojong Kim, Hyesoon Kim:
SimProf: A Sampling Framework for Data Analytic Workloads. IPDPS 2017: 595-604 - [i1]Hyojong Kim, Ramyad Hadidi, Lifeng Nai, Hyesoon Kim, Nuwan Jayasena, Yasuko Eckert, Onur Kayiran, Gabriel H. Loh:
CODA: Enabling Co-location of Computation and Data for Near-Data Processing. CoRR abs/1710.09517 (2017) - 2016
- [j1]Alexandru Iosup
LDBC Graphalytics: A Benchmark for Large-Scale Graph Analysis on Parallel and Distributed Platforms. Proc. VLDB Endow. 9(13): 1317-1328 (2016) - [c10]Pranith Kumar, Lifeng Nai, Hyesoon Kim:
Analyzing Consistency Issues in HMC Atomics. MEMSYS 2016: 151-152 - 2015
- [c9]Yinglong Xia, Lifeng Nai, Jui-Hsin Lai:
Towards Balance-Affinity Tradeoff in Concurrent Subgraph Traversals. IPDPS 2015: 936-945 - [c8]Lifeng Nai, Hyesoon Kim:
Instruction Offloading with HMC 2.0 Standard: A Case Study for Graph Traversals. MEMSYS 2015: 258-261 - [c7]Lifeng Nai, Yinglong Xia, Ilie Gabriel Tanase, Hyesoon Kim, Ching-Yung Lin:
GraphBIG: understanding graph computing in the context of industrial solutions. SC 2015: 69:1-69:12 - 2014
- [c6]Yinglong Xia, Ilie Gabriel Tanase, Lifeng Nai, Wei Tan, Yanbin Liu, Jason Crawford, Ching-Yung Lin:
Graph analytics and storage. IEEE BigData 2014: 942-951 - [c5]Lifeng Nai, Yinglong Xia, Ching-Yung Lin, Bo Hong, Hsien-Hsin S. Lee:
Cache-conscious graph collaborative filtering on multi-socket multicore systems. Conf. Computing Frontiers 2014: 32:1-32:10 - [c4]Yinglong Xia, Jui-Hsin Lai, Lifeng Nai, Ching-Yung Lin:
Concurrent image query using local random walk with restart on large scale graphs. ICME Workshops 2014: 1-6 - [c3]Jen-Cheng Huang, Lifeng Nai, Hyesoon Kim, Hsien-Hsin S. Lee:
TBPoint: Reducing Simulation Time for Large-Scale GPGPU Kernels. IPDPS 2014: 437-446 - [c2]Ilie Gabriel Tanase, Yinglong Xia, Lifeng Nai, Yanbin Liu, Wei Tan, Jason Crawford, Ching-Yung Lin:
A Highly Efficient Runtime and Graph Library for Large-Scale Graph Analytics. GRADES 2014: 10:1-10:6 - 2013
- [c1]Lifeng Nai, Hsien-Hsin S. Lee:
Reducing False Transactional Conflicts with Speculative Sub-Blocking State - An Empirical Study for ASF Transactional Memory System. IPDPS Workshops 2013: 1879-1888
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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