Reducing False Transactional Conflicts with Speculative Sub-Blocking State - An Empirical Study for ASF Transactional Memory System. - Lifeng Nai; Hsien-Hsin S. Lee (IPDPS Workshops, 2013)

Graph analytics and storage. - Yinglong Xia; Ilie Gabriel Tanase; Lifeng Nai; Wei Tan 001; Yanbin Liu; Jason Crawford; Ching-Yung Lin (IEEE BigData, 2014)

Cache-conscious graph collaborative filtering on multi-socket multicore systems. - Lifeng Nai; Yinglong Xia; Ching-Yung Lin; Bo Hong; Hsien-Hsin S. Lee (Conf. Computing Frontiers, 2014)

Concurrent image query using local random walk with restart on large scale graphs. - Yinglong Xia; Jui-Hsin Lai; Lifeng Nai; Ching-Yung Lin (ICME Workshops, 2014)

TBPoint: Reducing Simulation Time for Large-Scale GPGPU Kernels. - Jen-Cheng Huang; Lifeng Nai; Hyesoon Kim; Hsien-Hsin S. Lee (IPDPS, 2014)

A Highly Efficient Runtime and Graph Library for Large-Scale Graph Analytics. - Ilie Gabriel Tanase; Yinglong Xia; Lifeng Nai; Yanbin Liu; Wei Tan 001; Jason Crawford; Ching-Yung Lin (GRADES, 2014)

Towards Balance-Affinity Tradeoff in Concurrent Subgraph Traversals. - Yinglong Xia; Lifeng Nai; Jui-Hsin Lai (IPDPS, 2015)

Instruction Offloading with HMC 2.0 Standard: A Case Study for Graph Traversals. - Lifeng Nai; Hyesoon Kim (MEMSYS, 2015)

GraphBIG: understanding graph computing in the context of industrial solutions. - Lifeng Nai; Yinglong Xia; Ilie Gabriel Tanase; Hyesoon Kim; Ching-Yung Lin (SC, 2015)

Analyzing Consistency Issues in HMC Atomics. - Pranith Kumar; Lifeng Nai; Hyesoon Kim (MEMSYS, 2016)

LDBC Graphalytics: A Benchmark for Large-Scale Graph Analysis on Parallel and Distributed Platforms. - Alexandru Iosup; Tim Hegeman; Wing Lung Ngai; Stijn Heldens; Arnau Prat-Pérez; Thomas Manhardt; Hassan Chafi; Mihai Capota; Narayanan Sundaram; Michael J. Anderson; Ilie Gabriel Tanase; Yinglong Xia; et al. (Proc. VLDB Endow., 2016)

Finding Top K Shortest Simple Paths with Improved Space Efficiency. - Qingsong Wen; Ren Chen; Lifeng Nai; Li Zhou 012; Yinglong Xia (GRADES@SIGMOD/PODS, 2017)

GraphPIM: Enabling Instruction-Level PIM Offloading in Graph Computing Frameworks. - Lifeng Nai; Ramyad Hadidi; Jaewoong Sim; Hyojong Kim; Pranith Kumar; Hyesoon Kim (HPCA, 2017)

SimProf: A Sampling Framework for Data Analytic Workloads. - Jen-Cheng Huang; Lifeng Nai; Pranith Kumar; Hyojong Kim; Hyesoon Kim (IPDPS, 2017)

CODA: Enabling Co-location of Computation and Data for Near-Data Processing. - Hyojong Kim; Ramyad Hadidi; Lifeng Nai; Hyesoon Kim; Nuwan Jayasena; Yasuko Eckert; Onur Kayiran; Gabriel H. Loh (CoRR, 2017)

Exploring big graph computing - An empirical study from architectural perspective. - Lifeng Nai; Yinglong Xia; Ilie Gabriel Tanase; Hyesoon Kim (J. Parallel Distributed Comput., 2017)

CAIRO: A Compiler-Assisted Technique for Enabling Instruction-Level Offloading of Processing-In-Memory. - Ramyad Hadidi; Lifeng Nai; Hyojong Kim; Hyesoon Kim (ACM Trans. Archit. Code Optim., 2017)

CoolPIM: Thermal-Aware Source Throttling for Efficient PIM Instruction Offloading. - Lifeng Nai; Ramyad Hadidi; He Xiao; Hyojong Kim; Jaewoong Sim; Hyesoon Kim (IPDPS, 2018)

CODA: Enabling Co-location of Computation and Data for Multiple GPU Systems. - Hyojong Kim; Ramyad Hadidi; Lifeng Nai; Hyesoon Kim; Nuwan Jayasena; Yasuko Eckert; Onur Kayiran; Gabriel H. Loh (ACM Trans. Archit. Code Optim., 2018)

Enabling Efficient Graph Computing with Near-data Processing Techniques. - Lifeng Nai (2018)

Thermal-aware processing-in-memory instruction offloading. - Lifeng Nai; Ramyad Hadidi; He Xiao; Hyojong Kim; Jaewoong Sim; Hyesoon Kim (J. Parallel Distributed Comput., 2019)

The LDBC Graphalytics Benchmark. - 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; et al. (CoRR, 2020)

NeuroMeter: An Integrated Power, Area, and Timing Modeling Framework for Machine Learning Accelerators Industry Track Paper. - Tianqi Tang 001; Sheng Li 007; Lifeng Nai; Norman P. Jouppi; Yuan Xie 001 (HPCA, 2021)

TripLe: Revisiting Pretrained Model Reuse and Progressive Learning for Efficient Vision Transformer Scaling and Searching. - Cheng Fu 002; Hanxian Huang; Zixuan Jiang; Yun Ni; Lifeng Nai; Gang Wu; Liqun Cheng; Yanqi Zhou; Sheng Li 007; Andrew Li; Jishen Zhao (ICCV, 2023)

TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings. - Norman P. Jouppi; George Kurian; Sheng Li 007; Peter C. Ma; Rahul Nagarajan; Lifeng Nai; Nishant Patil; Suvinay Subramanian; Andy Swing; Brian Towles; Cliff Young; Xiang Zhou; et al. (ISCA, 2023)

V10: Hardware-Assisted NPU Multi-tenancy for Improved Resource Utilization and Fairness. - Yuqi Xue; Yiqi Liu; Lifeng Nai; Jian Huang 006 (ISCA, 2023)

Hardware-Assisted Virtualization of Neural Processing Units for Cloud Platforms. - Yuqi Xue; Yiqi Liu; Lifeng Nai; Jian Huang 006 (MICRO, 2024)