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Bo Wu 0002
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Publications
- 2023
- [j8]Jin Zhou, Sam Silvestro, Steven (Jiaxun) Tang, Hanmei Yang, Hongyu Liu, Guangming Zeng, Bo Wu, Cong Liu, Tongping Liu:
MemPerf: Profiling Allocator-Induced Performance Slowdowns. Proc. ACM Program. Lang. 7(OOPSLA2): 1418-1441 (2023) - [c35]Hanmei Yang, Xin Zhao, Jin Zhou, Wei Wang, Sandip Kundu, Bo Wu, Hui Guan, Tongping Liu:
NUMAlloc: A Faster NUMA Memory Allocator. ISMM 2023: 97-110 - 2022
- [c34]Peng Jiang, Yihua Wei, Jiya Su, Rujia Wang, Bo Wu:
SampleMine: A Framework for Applying Random Sampling to Subgraph Pattern Mining through Loop Perforation. PACT 2022: 185-197 - [c33]Wei Han, Connor Holmes, Bo Wu:
DGSM: A GPU-Based Subgraph Isomorphism framework with DFS exploration. RSDHA@SC 2022: 1-11 - [i4]Connor Holmes, Minjia Zhang, Yuxiong He, Bo Wu:
Compressing Pre-trained Transformers via Low-Bit NxM Sparsity for Natural Language Understanding. CoRR abs/2206.15014 (2022) - 2021
- [j7]Daniel Mawhirter, Sam Reinehr, Connor Holmes, Tongping Liu, Bo Wu:
GraphZero: A High-Performance Subgraph Matching System. ACM SIGOPS Oper. Syst. Rev. 55(1): 21-37 (2021) - [j6]Feng Zhang, Jidong Zhai, Bo Wu, Bingsheng He, Wenguang Chen, Xiaoyong Du:
Automatic Irregularity-Aware Fine-Grained Workload Partitioning on Integrated Architectures. IEEE Trans. Knowl. Data Eng. 33(3): 867-881 (2021) - [c32]Daniel Mawhirter, Sam Reinehr, Wei Han, Noah Fields, Miles Claver, Connor Holmes, Jedidiah McClurg, Tongping Liu, Bo Wu:
Dryadic: Flexible and Fast Graph Pattern Matching at Scale. PACT 2021: 289-303 - [c31]Connor Holmes, Minjia Zhang, Yuxiong He, Bo Wu:
NxMTransformer: Semi-Structured Sparsification for Natural Language Understanding via ADMM. NeurIPS 2021: 1818-1830 - [c30]Jordan Schmerge, Daniel Mawhirter, Connor Holmes, Jedidiah McClurg, Bo Wu:
ELIχR: Eliminating Computation Redundancy in CNN-Based Video Processing. RSDHA@SC 2021: 34-44 - [i3]Peng Jiang, Rujia Wang, Bo Wu:
An Efficient Graph Mining System for Large Patterns. CoRR abs/2101.07690 (2021) - [i2]Connor Holmes, Minjia Zhang, Yuxiong He, Bo Wu:
NxMTransformer: Semi-Structured Sparsification for Natural Language Understanding via ADMM. CoRR abs/2110.15766 (2021) - 2019
- [c29]Connor Holmes, Daniel Mawhirter, Yuxiong He, Feng Yan, Bo Wu:
GRNN: Low-Latency and Scalable RNN Inference on GPUs. EuroSys 2019: 41:1-41:16 - [c28]Wei Zhang, Weihao Cui, Kaihua Fu, Quan Chen, Daniel Edward Mawhirter, Bo Wu, Chao Li, Minyi Guo:
Laius: Towards latency awareness and improved utilization of spatial multitasking accelerators in datacenters. ICS 2019: 58-68 - [c27]Wei Han, Daniel Mawhirter, Bo Wu, Lin Ma, Chen Tian:
FLARE: Flexibly Sharing Commodity GPUs to Enforce QoS and Improve Utilization. LCPC 2019: 32-48 - [c26]Daniel Mawhirter, Bo Wu:
AutoMine: harmonizing high-level abstraction and high performance for graph mining. SOSP 2019: 509-523 - [i1]Daniel Mawhirter, Sam Reinehr, Connor Holmes, Tongping Liu, Bo Wu:
GraphZero: Breaking Symmetry for Efficient Graph Mining. CoRR abs/1911.12877 (2019) - 2018
- [j5]Qi Zhu, Bo Wu, Xipeng Shen, Kai Shen, Li Shen, Zhiying Wang:
Resolving the GPU responsiveness dilemma through program transformations. Frontiers Comput. Sci. 12(3): 545-559 (2018) - [c25]Zhen Peng, Alexander Powell, Bo Wu, Tekin Bicer, Bin Ren:
Graphphi: efficient parallel graph processing on emerging throughput-oriented architectures. PACT 2018: 9:1-9:14 - [c24]Daniel Mawhirter, Bo Wu, Dinesh P. Mehta, Chao Ai:
ApproxG: Fast Approximate Parallel Graphlet Counting Through Accuracy Control. CCGrid 2018: 533-542 - 2017
- [j4]Qi Zhu, Bo Wu, Xipeng Shen, Kai Shen, Li Shen, Zhiying Wang:
Understanding co-run performance on CPU-GPU integrated processors: observations, insights, directions. Frontiers Comput. Sci. 11(1): 130-146 (2017) - [j3]Guoyang Chen, Xipeng Shen, Bo Wu, Dong Li:
Optimizing Data Placement on GPU Memory: A Portable Approach. IEEE Trans. Computers 66(3): 473-487 (2017) - [c23]Wei Han, Daniel Mawhirter, Bo Wu, Matthew Buland:
Graphie: Large-Scale Asynchronous Graph Traversals on Just a GPU. PACT 2017: 233-245 - [c22]Bo Wu, Xu Liu, Xiaobo Zhou, Changjun Jiang:
FLEP: Enabling Flexible and Efficient Preemption on GPUs. ASPLOS 2017: 483-496 - [c21]Feng Zhang, Bo Wu, Jidong Zhai, Bingsheng He, Wenguang Chen:
FinePar: irregularity-aware fine-grained workload partitioning on integrated architectures. CGO 2017: 27-38 - [c20]Junqiao Qiu, Zhijia Zhao, Bo Wu, Abhinav Vishnu, Shuaiwen Leon Song:
Enabling scalability-sensitive speculative parallelization for FSM computations. ICS 2017: 2:1-2:10 - [c19]Jing Zheng, Jianhua Sun, Kun Sun, Bo Wu, Qi Li:
Cookie-based amplification repression protocol. IPCCC 2017: 1-8 - [c18]Qi Zhu, Bo Wu, Xipeng Shen, Li Shen, Zhiying Wang:
Co-Run Scheduling with Power Cap on Integrated CPU-GPU Systems. IPDPS 2017: 967-977 - 2016
- [j2]Mingzhou Zhou, Bo Wu, Xipeng Shen, Yaoqing Gao, Graham Yiu:
Examining and Reducing the Influence of Sampling Errors on Feedback-Driven Optimizations. ACM Trans. Archit. Code Optim. 13(1): 6:1-6:24 (2016) - 2015
- [j1]Guoyang Chen, Bo Wu, Dong Li, Xipeng Shen:
Enabling Portable Optimizations of Data Placement on GPU. IEEE Micro 35(4): 16-24 (2015) - [c17]Qi Zhu, Meng Zhu, Bo Wu, Xipeng Shen, Kai Shen, Zhiying Wang:
Software Engagement with Sleeping CPUs. HotOS 2015 - [c16]Bo Wu, Guoyang Chen, Dong Li, Xipeng Shen, Jeffrey S. Vetter:
Enabling and Exploiting Flexible Task Assignment on GPU through SM-Centric Program Transformations. ICS 2015: 119-130 - [c15]Xu Liu, Bo Wu:
ScaAnalyzer: a tool to identify memory scalability bottlenecks in parallel programs. SC 2015: 47:1-47:12 - 2014
- [c14]Bo Wu, Guoyang Chen, Dong Li, Xipeng Shen, Jeffrey S. Vetter:
SM-centric transformation: circumventing hardware restrictions for flexible GPU scheduling. PACT 2014: 497-498 - [c13]Zhijia Zhao, Bo Wu, Xipeng Shen:
Challenging the "embarrassingly sequential": parallelizing finite state machine-based computations through principled speculation. ASPLOS 2014: 543-558 - [c12]Qi Zhu, Bo Wu, Xipeng Shen, Li Shen, Zhiying Wang:
Understanding Co-run Degradations on Integrated Heterogeneous Processors. LCPC 2014: 82-97 - [c11]Guoyang Chen, Bo Wu, Dong Li, Xipeng Shen:
PORPLE: An Extensible Optimizer for Portable Data Placement on GPU. MICRO 2014: 88-100 - [c10]Zhijia Zhao, Bo Wu, Mingzhou Zhou, Yufei Ding, Jianhua Sun, Xipeng Shen, Youfeng Wu:
Call sequence prediction through probabilistic calling automata. OOPSLA 2014: 745-762 - 2013
- [c9]Bin Wang, Bo Wu, Dong Li, Xipeng Shen, Weikuan Yu, Yizheng Jiao, Jeffrey S. Vetter:
Exploring hybrid memory for GPU energy efficiency through software-hardware co-design. PACT 2013: 93-102 - [c8]Mingzhou Zhou, Bo Wu, Yufei Ding, Xipeng Shen:
Profmig: A framework for flexible migration of program profiles across software versions. CGO 2013: 17:1-17:12 - [c7]Bo Wu, Mingzhou Zhou, Xipeng Shen, Yaoqing Gao, Raúl Silvera, Graham Yiu:
Simple Profile Rectifications Go a Long Way - Statistically Exploring and Alleviating the Effects of Sampling Errors for Program Optimizations. ECOOP 2013: 654-678 - [c6]Bo Wu, Weilin Wang, Xipeng Shen:
Software-level scheduling to exploit non-uniformly shared data cache on GPGPU. MSPC@PLDI 2013: 10:1-10:2 - [c5]Bo Wu, Zhijia Zhao, Eddy Zheng Zhang, Yunlian Jiang, Xipeng Shen:
Complexity analysis and algorithm design for reorganizing data to minimize non-coalesced memory accesses on GPU. PPoPP 2013: 57-68 - 2012
- [c4]Zhijia Zhao, Bo Wu, Xipeng Shen:
Speculative parallelization needs rigor: probabilistic analysis for optimal speculation of finite-state machine applications. PACT 2012: 433-434 - [c3]Ziyu Guo, Bo Wu, Xipeng Shen:
One stone two birds: synchronization relaxation and redundancy removal in GPU-CPU translation. ICS 2012: 25-36 - [c2]Bo Wu, Zhijia Zhao, Xipeng Shen, Yunlian Jiang, Yaoqing Gao, Raúl Silvera:
Exploiting inter-sequence correlations for program behavior prediction. OOPSLA 2012: 851-866 - 2011
- [c1]Bo Wu, Eddy Z. Zhang, Xipeng Shen:
Enhancing Data Locality for Dynamic Simulations through Asynchronous Data Transformations and Adaptive Control. PACT 2011: 243-252
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