Xu Liu

Works (13)

Updated: January 21st, 2025 10:34

2024 article

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

2024 IEEE/ACM INTERNATIONAL SYMPOSIUM ON CODE GENERATION AND OPTIMIZATION, CGO, pp. 245–257.

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

Source: Web Of Science
Added: January 6, 2025

2024 article

EASYVIEW: Bringing Performance Profiles into Integrated Development Environments

2024 IEEE/ACM INTERNATIONAL SYMPOSIUM ON CODE GENERATION AND OPTIMIZATION, CGO, pp. 386–398.

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

author keywords: Profiling; Software optimization; Performance measurement; Visualization; Tools.
Source: Web Of Science
Added: April 8, 2024

2024 journal article

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

IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 36(2), 308–325.

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
Source: Web Of Science
Added: January 13, 2025

2023 article

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

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
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)
Source: Web Of Science
Added: November 20, 2023

2023 article

DroidPerf: Profiling Memory Objects on Android Devices

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
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)
Source: Web Of Science
Added: September 18, 2023

2022 article

Graph Neural Networks Based Memory Inefficiency Detection Using Selective Sampling

SC22: INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS.

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
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: Featherlight Object Replica Detection for Java Programs

2022 ACM/IEEE 44TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE 2022), pp. 1558–1570.

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

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
Source: Web Of Science
Added: August 29, 2022

2022 article

VALUEEXPERT: Exploring Value Patterns in GPU-Accelerated Applications

ASPLOS '22: PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON ARCHITECTURAL SUPPORT FOR PROGRAMMING LANGUAGES AND OPERATING SYSTEMS, pp. 171–185.

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
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

PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21), pp. 1117–1128.

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

author keywords: Python; profiling; PMU; debug register
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

PROCEEDINGS OF SC20: THE INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS (SC20).

By: Q. Zhao*, X. Liu n & M. Chabbi *

author keywords: Fine-grained analysis; ARM; performance analysis; debugging; high-performance computing
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

PROCEEDINGS OF SC20: THE INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS (SC20).

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
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

PROCEEDINGS OF SC20: THE INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS (SC20).

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
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

PROCEEDINGS OF SC20: THE INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS (SC20).

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

author keywords: Redundant Zero; Software Inefficiency; Performance Profiling and Optimization
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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