Xu Liu

Works (14)

Updated: April 17th, 2025 05:01

2025 article

Triton-Viz: Visualizing GPU Programming in AI Courses

Ramesh, T., Rush, A., Liu, X., Yin, B., Zhou, K., & Jiao, S. (2025, February 12). PROCEEDINGS OF THE 56TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, SIGCSE TS 2025, VOL 1, pp. 952–958.

By: T. Ramesh*, A. Rush *, X. Liu n, B. Yin *, K. Zhou * & S. Jiao n 

author keywords: Visualization; Deep Learning; GPU Programming; Triton
topics (OpenAlex): Teaching and Learning Programming; Parallel Computing and Optimization Techniques; Distributed and Parallel Computing Systems
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: April 14, 2025

2024 article

DrPy: Pinpointing Inefficient Memory Usage in Multi-Layer Python Applications

Cui, J., Zhao, Q., Hao, Y., & Liu, X. (2024, February 28).

By: J. Cui n, Q. Zhao n, Y. Hao n  & X. Liu n

topics (OpenAlex): Parallel Computing and Optimization Techniques; Advanced Data Storage Technologies; Computational Physics and Python Applications
Source: Web Of Science
Added: January 6, 2025

2024 article

EasyView: Bringing Performance Profiles into Integrated Development Environments

Zhao, Q., Chabbi, M., & Liu, X. (2024, February 28).

By: Q. Zhao n, M. Chabbi & X. Liu n

author keywords: Profiling; Software optimization; Performance measurement; Visualization; Tools.
topics (OpenAlex): Software System Performance and Reliability; Parallel Computing and Optimization Techniques; Software Testing and Debugging Techniques
Source: Web Of Science
Added: April 8, 2024

2024 article

Leveraging Graph Analysis to Pinpoint Root Causes of Scalability Issues for Parallel Applications

Jin, Y., Wang, H., Tang, X., Guo, Z., Zhao, Y., Hoefler, T., … Zhai, J. (2024, October 24). IEEE Transactions on Parallel and Distributed Systems.

By: Y. Jin *, H. Wang *, X. Tang *, Z. Guo *, Y. Zhao *, T. Hoefler *, T. Liu *, X. Liu n, J. Zhai *

author keywords: Scalability; Runtime; Static analysis; Costs; Backtracking; Source coding; Skeleton; Supercomputers; Delays; Computer science; Performance analysis; root-cause detection; scalability bottleneck; static analysis
topics (OpenAlex): Graph Theory and Algorithms; Distributed and Parallel Computing Systems; Cloud Computing and Resource Management
Source: Web Of Science
Added: January 13, 2025

2023 article

DJXPerf: Identifying Memory Inefficiencies via Object-Centric Profiling for Java

Li, B., Su, P., Chabbi, M., Jiao, S., & Liu, X. (2023, February 17). PROCEEDINGS OF THE 21ST ACM/IEEE INTERNATIONAL SYMPOSIUM ON CODE GENERATION AND OPTIMIZATION, CGO 2023, pp. 81–94.

By: B. Li n, P. Su *, M. Chabbi, S. Jiao n  & X. Liu n

author keywords: Java; profiling; performance optimization; PMU
topics (OpenAlex): Parallel Computing and Optimization Techniques; Distributed systems and fault tolerance; Cloud Computing and Resource Management
TL;DR: DJXPerf is presented, a lightweight, object-centric memory profiler for Java, which associates memory-hierarchy performance metrics (e.g., cache/TLB misses) with Java objects and presents Java object allocation contexts combined with their usage contexts and presents them ordered by the poor locality behaviors. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: November 20, 2023

2023 article

DroidPerf: Profiling Memory Objects on Android Devices

Li, B., Zhao, Q., Jiao, S., & Liu, X. (2023, July 10). PROCEEDINGS OF THE 29TH ANNUAL INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND NETWORKING, MOBICOM 2023, pp. 75–89.

By: B. Li n, Q. Zhao n, S. Jiao n  & X. Liu n

author keywords: Profiling; memory inefficiencies; performance; Android
topics (OpenAlex): Advanced Malware Detection Techniques; Advanced Data Storage Technologies; Green IT and Sustainability
TL;DR: DroidPerf is developed, a lightweight, object-centric memory profiler for ART, which associates memory inefficiencies with objects created and used in Android apps and is able to guide locality optimization on memory layouts, access patterns, and allocation patterns. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: September 18, 2023

2022 article

Graph Neural Networks Based Memory Inefficiency Detection Using Selective Sampling

Li, P., Guo, Y., Luo, Y., Wang, X., Wang, Z., & Liu, X. (2022, November 1).

By: P. Li *, Y. Guo *, Y. Luo *, X. Wang *, Z. Wang * & X. Liu n

author keywords: graph neural network; program embedding; memory inefficiency detection; sampling
topics (OpenAlex): Software System Performance and Reliability; Cloud Computing and Resource Management; Parallel Computing and Optimization Techniques
TL;DR: This work presents a novel learning-aided system, namely Puffin, to identify three kinds of unnecessary memory operations including dead stores, silent loads and silent stores, by applying gated graph neural networks onto fused static and dynamic program semantics with respect to relative positional embedding. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure (OpenAlex)
Source: Web Of Science
Added: June 12, 2023

2022 article

OJXPerf

Li, B., Xu, H., Zhao, Q., Su, P., Chabbi, M., Jiao, S., & Liu, X. (2022, May 21). Proceedings of the 44th International Conference on Software Engineering, pp. 1558–1570.

By: B. Li n, H. Xu *, Q. Zhao n, P. Su *, M. Chabbi *, S. Jiao n , X. Liu n

topics (OpenAlex): Logic, programming, and type systems; Parallel Computing and Optimization Techniques; Formal Methods in Verification
TL;DR: OJXPerf, a lightweight sampling-based profiler, which probabilistically identifies identical objects with code-level attribution can assist developers in refactoring code to eliminate object bloat, and favor reuse of existing object(s). (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 29, 2022

2022 article

ValueExpert: exploring value patterns in GPU-accelerated applications

Zhou, K., Hao, Y., Mellor-Crummey, J., Meng, X., & Liu, X. (2022, February 22). Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems.

By: K. Zhou *, Y. Hao n , J. Mellor-Crummey *, X. Meng * & X. Liu n

author keywords: GPUs; GPU profilers; Profiling Tools; Value Analysis; Value Patterns
topics (OpenAlex): Parallel Computing and Optimization Techniques; Distributed and Parallel Computing Systems; Graph Theory and Algorithms
TL;DR: ValueExpert is able to identify previously unknown performance issues and provide suggestions for nontrivial performance improvements with typically less than five lines of code changes, and verify the authors' optimizations with application developers and upstream fixes to their repositories. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: March 10, 2022

2021 article

Toward efficient interactions between Python and native libraries

Tan, J., Chen, Y., Liu, Z., Ren, B., Song, S. L., Shen, X., & Liu, X. (2021, August 18). PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21).

By: J. Tan *, Y. Chen *, Z. Liu *, B. Ren *, S. Song *, X. Shen n , X. Liu n

author keywords: Python; profiling; PMU; debug register
topics (OpenAlex): Parallel Computing and Optimization Techniques; Computational Physics and Python Applications; Advanced Data Storage Technologies
TL;DR: PieProf, a lightweight profiler, is developed to pinpoint interaction inefficiencies in Python applications and associate inefficiences with high-level Python code to provide a holistic view, and optimization of 17 realworld applications is guided. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: March 7, 2022

2020 article

DRCCTPROF: A Fine-Grained Call Path Profiler for ARM-Based Clusters

Zhao, Q., Liu, X., & Chabbi, M. (2020, November 1).

By: Q. Zhao*, X. Liu n & M. Chabbi *

author keywords: Fine-grained analysis; ARM; performance analysis; debugging; high-performance computing
topics (OpenAlex): Parallel Computing and Optimization Techniques; Advanced Data Storage Technologies; Distributed and Parallel Computing Systems
TL;DR: The unique ability of DRCCTPROF is to obtain full calling context at any and every machine instruction that executes, which provides more detailed diagnostic feedback for performance optimization and correctness tools. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Source: Web Of Science
Added: August 16, 2021

2020 article

GVPROF: A Value Profiler for GPU-Based Clusters

Zhou, K., Hao, Y., Mellor-Crummey, J., Meng, X., & Liu, X. (2020, November 1). International Conference for High Performance Computing, Networking, Storage and Analysis, SC.

By: K. Zhou *, Y. Hao n , J. Mellor-Crummey *, X. Meng * & X. Liu n

Contributors: K. Zhou *, Y. Hao n , J. Mellor-Crummey *, X. Meng * & X. Liu n

author keywords: High performance computing; Performance analysis; Parallel programming; Supercomputers
topics (OpenAlex): Parallel Computing and Optimization Techniques; Distributed and Parallel Computing Systems; Advanced Data Storage Technologies
TL;DR: The design and implementation of GVPROF is described, the first value profiler that pinpoints value-related inefficiencies in applications running on NVIDIA GPU-based clusters, which provides useful information to guide code optimization. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 23, 2021

2020 article

SCALANA: Automating Scaling Loss Detection with Graph Analysis

Jin, Y., Wang, H., Yu, T., Tang, X., Hoefler, T., Liu, X., & Zhai, J. (2020, November 1).

By: Y. Jin *, H. Wang *, T. Yu *, X. Tang *, T. Hoefler *, X. Liu n, J. Zhai *

author keywords: Performance Analysis; Scalability Bottleneck; Root-Cause Defection; Static Analysis
topics (OpenAlex): Parallel Computing and Optimization Techniques; Advanced Data Storage Technologies; Distributed systems and fault tolerance
TL;DR: A novel approach, called backtracking root cause detection, which can automatically and efficiently detect the root cause of scaling loss and achieve up to 11.11parcent performance improvement by fixing the root causes detected by SCALANA on 2,048 processes. (via Semantic Scholar)
Source: Web Of Science
Added: August 16, 2021

2020 article

ZeroSpy: Exploring Software Inefficiency with Redundant Zeros

You, X., Yang, H., Luan, Z., Qian, D., & Liu, X. (2020, November 1).

By: X. You *, H. Yang *, Z. Luan *, D. Qian * & X. Liu n

author keywords: Redundant Zero; Software Inefficiency; Performance Profiling and Optimization
topics (OpenAlex): Parallel Computing and Optimization Techniques; Radiation Effects in Electronics; Security and Verification in Computing
TL;DR: This paper proposes ZeroSpy - a fine-grained profiler to identify redundant zeros caused by both inappropriate use of data structures and useless computation and provides intuitive optimization guidance by revealing the locations where the redundantZeros happen in source lines and calling contexts. (via Semantic Scholar)
Source: Web Of Science
Added: August 16, 2021

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