Xu Liu's Publications by Year

Xu Liu's Publications by Year Xu Liu's Publications by Year

2020

[ICS'20] "What Every Scientific Programmer Should Know About Compiler Optimizations?", Jialiang Tan, Shuyin Jiao, Milind Chabbi, Xu Liu, The 34th ACM International Conference on Supercomputing, Jun 29 - Jul 2, 2020, Barcelona, Spain.

[CGO'20] "ATMem: Adaptive Data Placement in Graph Applications on Heterogeneous Memories", Yu Chen, Ivy B. Peng, Zhen Peng, Xu Liu, Bin Ren, The 2020 International Symposium on Code Generation and Optimization, Feb 22-26, 2020, San Diego, CA, USA.

2019

[TPDS'19] "Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect", Ang Li, Shuaiwen Leon Song, Jieyang Chen, Jiajia Li, Xu Liu, Nathan Tallent, and Kevin Barker, IEEE Transactions on Parallel and Distributed Systems, 2019.

[SC'19] "Pinpointing Performance Inefficiencies via Lightweight Variance Profiling", Pengfei Su, Shuyin Jiao, Milind Chabbi, Xu Liu, The International Conference for High Performance Computing, Networking, Storage and Analysis, Nov 17-22, 2019, Denver, CO, USA.

[ESEC/FSE'19] "Pinpointing Performance Inefficiencies in Java", Pengfei Su, Qingsen Wang, Milind Chabbi, Xu Liu, The 27th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering , Aug 26 - 30, 2019, Tallinn, Estonia.

[ICS'19] "Can We Trust Profiling Results?", Hao Xu, Qingsen Wang, Shuang Song, Lizy John, Xu Liu, The 33rd ACM International Conference on Supercomputing, Jun 26 - Jun 28, 2019, Phoenix, AZ.

[ICSE'19] "Redundant Loads: A Software Inefficiency Indicator", Pengfei Su, Shasha Wen, Hailong Yang, Milind Chabbi, Xu Liu, The International Conference on Software Engineering, May 25 - Jun 1, 2019, Montreal, Canada. Distinguished Paper Award.

[PPoPP'19] "Lightweight Hardware Transactional Memory Profiling", Qingsen Wang, Pengfei Su, Milind Chabbi, Xu Liu, The 24th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Feb 16-20, 2019, Washington, D.C.. Best Paper Award.

[HPCA'19] "Featherlight Reuse-distance Measurement", Qingsen Wang, Milind Chabbi, Xu Liu, The 25th IEEE International Symposium on High-Performance Computer Architecture, Feb 16-20, 2019, Washington, D.C..

[CGO'19] "Transforming Query Sequences for High-Throughput B+ Tree Processing on Many-core Processors", Ruiqin Tian, Junqiao Qiu, Zhijiao Zhao, Xu Liu, Bin Ren, The 2019 International Symposium on Code Generation and Optimization, Feb 16-20, 2019, Washington, D.C..

[VLDB'19] "Start Late or Finish Early: A Distributed Graph Processing System with Redundancy Reduction", Shuang Song, Xu Liu, Qinzhe Wu, Andreas Gerstlauer, Tao Li, Lizy John, The Forty-fifth International Conference on Very Large Data Bases, Aug 26-30, 2019, Los Angeles, CA, USA.

2018

[IISWC'18] "Tartan: Evaluating Modern GPU Interconnect via a Multi-GPU Benchmark Suite", Ang Li, Shuaiwen Leon Song, Jieyang Chen, Xu Liu, Nathan Tallent, Kevin Barker, 2018 IEEE International Symposium on Workload Characterization, Sep 30-Oct 2, 2018, Raleigh, NC, USA.

[TPDS'18] "LWPTool: A Lightweight Profiler to Guide Data Layout Optimization", Chao Yu, Probir Roy, Yuebin Bai, Hailong Yang, Xu Liu, IEEE Transactions on Parallel and Distributed Systems, 2018. (Chao and Probir are both co-first authors.)

[ICS'18]"ProfDP: A Lightweight Profiler to Guide Data Placement in Heterogeneous Memory Systems", Shasha Wen, Lucy Cherkasova, Felix Xiaozhu Lin, Xu Liu, The 32nd ACM International Conference on Supercomputing, Jun 12-15th, 2018, Beijing China.

[ICS'18] "Towards Efficient SpMV on Sunway Many-core Architectures", Changxi Liu, Biwei Xie, Xin Liu, Wei Xue, Hailong Yang, Xu Liu, The 32nd ACM International Conference on Supercomputing, Jun 12-15th, 2018, Beijing China.

[TACO'18] "NUMA-Caffe: NUMA-Aware Deep Learning Neural Networks", Probir Roy, Shuaiwen Leon Song, Sriram Krishnamoorthy, Abhinav Vishnu, Dipanjan Sengupta, Xu Liu, ACM Transactions on Architecture and Code Optimization, 2018.

[ASPLOS'18] "Watching for Software Inefficiencies with Witch", Shasha Wen, Xu Liu, John Byrne and Milind Chabbi, The 23nd International Conference on Architectural Support for Programming Languages and Operating Systems, Mar 24-28, 2018, Williamsburg, VA. ACM SIGPLAN Research Highlight.

[PPoPP'18] "Featherlight On-the-Fly False-sharing Detection", Milind Chabbi, Shasha Wen and Xu Liu, The 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Feb 24-28th, 2018, Vienna, Austria. Best Paper Award.

[PMAM'18] "An Evaluation of Vectorization and Cache Reuse Tradeoffs on Modern CPUs", Du Shen, Milind Chabbi and Xu Liu, The 2018 International Workshop on Programming Models and Applications for Multicores and Manycores, co-located with PPoPP'18, Feb 24-28th, 2018, Vienna, Austria.

[CGO'18] "Lightweight Detection of Cache Conflicts", Probir Roy, Shuaiwen Leon Song, Sriram Krishnamoorthy and Xu Liu, The 2018 International Symposium on Code Generation and Optimization, Feb 24-28th, 2018, Vienna, Austria.

[CGO'18] "CUDAAdvisor: LLVM-based Runtime Profiling for Modern GPUs", Du Shen, Shuaiwen Leon Song, Ang Li and Xu Liu, The 2018 International Symposium on Code Generation and Optimization, Feb 24-28th, 2018, Vienna, Austria.

[CGO'18] "CVR: Efficient SpMV Vectorization on X86 Processors", Biwei Xie, Jianfeng Zhan, Zhen Jia, Wanling Gao, Lixin Zhang and Xu Liu, The 2018 International Symposium on Code Generation and Optimization, Feb 24-28th, 2018, Vienna, Austria.

2017

[CCCF] "Revisit Performance Analysis and Optimization Tools for Parallel Architectures", Xu Liu, Communications of the CCF, Vol.13, No.6, June 2017 (invited).[PDF]

[IPDPS'17] "Dr-BW: Identifying Bandwidth Contention in NUMA Architectures with Supervised Learning", Hao Xu, Shasha Wen, Alfredo Gimenez, Todd Gamblin and Xu Liu, The 31st IEEE International Parallel and Distributed Processing Symposium, May 29-Jun 2, 2017, Orlando, Florida, USA.

[ASPLOS'17] "RedSpy: Exploring Value Locality in Software", Shasha Wen, Milind Chabbi and Xu Liu, The 22nd International Conference on Architectural Support for Programming Languages and Operating Systems, Apr 8-12, 2017, Xi'an, China.

[ASPLOS'17] "FLEP: Enabling Flexible and Efficient Preemption on GPUs", Bo Wu, Xu Liu, Xiaobo Zhou and Changjun Jiang, The 22nd International Conference on Architectural Support for Programming Languages and Operating Systems, Apr 8-12, 2017, Xi'an, China.

[ASPLOS'17] "Locality-Aware CTA Clustering For Modern GPUs", Ang Li, Shuaiwen Leon Song, Weifeng Liu, Xu Liu, Akash Kumar and Henk Corporaal, The 22nd International Conference on Architectural Support for Programming Languages and Operating Systems, Apr 8-12, 2017, Xi'an, China. HiPEAC Paper Award.

[PPoPP'17] "An Efficient Abortable-locking Protocol for Multi-level NUMA Systems", Milind Chabbi, Halim Amer, Shasha Wen and Xu Liu, The 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Feb 4-8, 2017, Austin, Texas, USA.

2016

[ISMM'16] "Characterizing Emerging Heterogeneous Memory", Du Shen, Xu Liu and Felix Xiaozhu Lin, The 2016 ACM SIGPLAN International Symposium on Memory Management, Jun 14, 2016, Santa Barbara, California, USA.

[HPDC'16] "SMT-Aware Instantaneous Footprint Optimization", Probir Roy, Xu Liu and Shuaiwen Leon Song, The 25th ACM international Symposium on High-Performance and Distributed Computing, May 31-Jun 4, 2016, Kyoto, Japan.

[ASPLOS'16] "memif: Towards Programming Heterogeneous Memory Asynchronously", Felix Xiaozhu Lin and Xu Liu, The 21st International Conference on Architectural Support for Programming Languages and Operating Systems, Apr 2-6, 2016, Altanta, Georgia, USA.

[CGO'16] "StructSlim: A Lightweight Profiler to Guide Structure Splitting", Probir Roy and Xu Liu, The 2016 International Symposium on Code Generation and Optimization, Mar 12-18, 2016, Barcelona, Spain.

[CGO'16] "Cheetah: Detecting False Sharing Efficiently and Effectively", Tongping Liu and Xu Liu, The 2016 International Symposium on Code Generation and Optimization, Mar 12-18, 2016, Barcelona, Spain. (Tongping and Xu are both co-first authors.)

2015

[SC'15] "ScaAnalyzer: A Tool to Identify Memory Scalability Bottlenecks in Parallel Programs", Xu Liu and Bo Wu, The International Conference for High Performance Computing, Networking, Storage and Analysis, Nov 15-20, 2015, Austin, Texas, USA. Best Paper Award (1 out of 358).

[PACT'15] "Runtime Value Numbering: A Profiling Technique to Pinpoint Redundant Computations", Shasha Wen, Xu Liu and Milind Chabbi, The 24th International Conference on Parallel Architectures and Compilation Techniques, Oct 18-21, 2015, San Francisco, California, USA.

[IISWC'15] "Characterizing Data Analytics Workloads on Intel Xeon Phi", Biwei Xie, Xu Liu, Jianfeng Zhan, Zhen Jia, and Lixin Zhang, 2015 IEEE International Symposium on Workload Characterization, Poster, Oct 4-6, 2015, Atlanta, Georgia, USA.

[HotCloud'15] "Towards Hybrid Programming in Big Data", Peng Wang, Hong Jiang, Xu Liu, and Jizhong Han, The 7th USENIX Workshop on Hot Topics in Cloud Computing, July 6-7, 2015, Santa Clara, California, USA.

2014

[PACT'14] "ArrayTool: A Lightweight Profiler to Guide Array Regrouping", Xu Liu, Kamal Sharma and John Mellor-Crummey, The 23rd International Conference on Parallel Architectures and Compilation Techniques, Aug 24-27, 2014, Edmonton, Alberta, Canada. [DOI]

[PPoPP'14] "A Tool to Analyze the Performance of Multithreaded Programs on NUMA Architectures", Xu Liu and John Mellor-Crummey, The 19th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Feb 15-19, 2014, Orlando, Florida, USA. [DOI]

[CGO'14] "Call Paths for Pin Tools", Milind Chabbi, Xu Liu and John Mellor-Crummey, The 2014 International Symposium on Code Generation and Optimization, Feb 15-19, 2014, Orlando, Florida, USA. [DOI]

2013

[SC'13] "A Data-centric Profiler for Parallel Programs", Xu Liu and John Mellor-Crummey, The International Conference for High Performance Computing, Networking, Storage and Analysis, November 17-22, 2013, Denver, Colorado, USA.

[BPOE'13] "Evaluating Task Scheduling in Hadoop-based Cloud Systems", Shengyuan Liu, Jungang Xu, Zongzhen Liu and Xu Liu, The First Workshop on Big Data Benchmarks, Performance Optimization, and Emerging hardware, In conjunction with 2013 IEEE International Conference on Big Data, October 8, 2013, Silicon Valley, California, USA.

[IWOMP'13] "OMPT: OpenMP Tools Application Programming Interfaces for Performance Analysis", Alexandre Eichenberger, John Mellor-Crummey, Martin Schulz, Michael Wong, Nawal Copty, Robert Dietrich, Xu Liu, Eugene Loh and Daniel Lorenz, 2013 International Workshop on OpenMP, September 16-18, 2013, Canberra, Australia. [DOI]

[ICS'13] "A New Approach for Performance Analysis of OpenMP Programs", Xu Liu, John Mellor-Crummey and Mike Fagan, 27th International Conference on Supercomputing, June 10-14, 2013, Eugene, Oregon, USA. [DOI]

[ISPASS'13] "Pinpointing Data Locality Bottlenecks with Low Overhead", Xu Liu and John Mellor-Crummey, 2013 IEEE International Symposium on Performance Analysis of Systems and Software, April 21-23, 2013, Austin, Texas, USA. [DOI]

2012

"Analyzing Application Performance Bottlenecks on Intel's SCC", Xu Liu, John Mellor-Crummey and Nathan Tallent, 2012 TACC-Intel Highly Parallel Computing Symposium, April 10-11, 2012, Austin, Texas, USA.

2011

[JPDC] "Automatic Performance Debugging of SPMD-Style Parallel Programs", Xu Liu, Jianfeng Zhan, Kunlin Zhan, Weisong Shi, Lin Yuan, Dan Meng and Lei Wang, Journal of Parallel and Distributed Computing, Volume 71, Issue 7, July 2011, Pages 925-937.

[ICAC'11] "Towards Quantitative Analysis of Data Intensive Computing: A Case Study of Hadoop", Peng Wang, Dan Meng, Zhaoxia Han and Xu Liu, The 8th ACM International Conference on Autonomic Computing, Poster, June 14-18, 2011, Karlsruhe, Germany.

[CGO'11] "Pinpointing Data Locality Problems Using Data-Centric Analysis", Xu Liu and John Mellor-Crummey, 2011 International Symposium on Code Generation and Optimization, April 2-6, 2011, Chamonix, France. [DOI]

2009

"Dual-Direction Backfilling Algorithm for Parallel Job Scheduling", Peng Wang, Xu Liu, Dan Meng, Jianfeng Zhan and Bibo Tu, HPC Asia 2009, Kaohsiung, Taiwan.

"A Job Scheduling Framework by Exploiting Workload Characteristic", Peng Wang, Xu Liu, Dan Meng, Jianfeng Zhan and Bibo Tu, HPC Asia 2009, Poster, Kaohsiung, Taiwan.

2008

[PDCAT'08] "A Fast-Start, Fault-Tolerant MPI Launcher on Dawning Supercomputers", Xu Liu, Bibo Tu, Jianfeng Zhan and Dan Meng, The International Conference on Parallel and Distributed Computing, Applications and Technologies, Short Paper, December 1-4, 2008, Dunedin, New Zealand.

[PDCAT'08] "A Dynamic Provisioning Framework for Multitier Internet Applications in Virtualized Data Center", Yi Jin, Xu Liu, Jianfeng Zhan and Shuang Gao, The International Conference on Parallel and Distributed Computing, Applications and Technologies, Short Paper, December 1-4, 2008, Dunedin, New Zealand.

[SC'08] "Similarity Analysis in Automatic Performance Debugging of SPMD Parallel Programs", Xu Liu, Jianfeng Zhan, Bibo Tu, Ming Zou and Dan Meng, The International Conference for High Performance Computing, Networking, Storage and Analysis, Workshop on Node Level Parallelism for Large Scale Supercomputers, November 15-21, 2008, Austin, Texas, USA.