Weijie Zhou

Works (2)

Updated: July 5th, 2023 15:34

2020 article

HARP: Holistic Analysis for Refactoring Python-Based Analytics Programs

2020 ACM/IEEE 42ND INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE 2020), pp. 506–517.

By: W. Zhou n, Y. Zhao*, G. Zhang  n & X. Shen n 

author keywords: machine learning program; computation graph; dynamic language; program analysis
TL;DR: HARP enables holistic analysis that spans across computation graphs and their hosting Python code and achieves it through a set of novel techniques: analytics-conscious speculative analysis to circumvent Python complexities, a unified representation augmented computation graphs to capture all dimensions of knowledge related with the holistic analysis, and conditioned feedback mechanism to allow risk-controlled aggressive analysis. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: June 21, 2021

2018 article

Overhead-Conscious Format Selection for SpMV-Based Applications

2018 32ND IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM (IPDPS), pp. 950–959.

By: Y. Zhao n, W. Zhou n, X. Shen n  & G. Yiu*

author keywords: SpMV; High Performance Computing; Program Optimizations; Sparse Matrix Format; Prediction Model
TL;DR: A two-stage lazy-and-light scheme to help control the risks in the format predictions and at the same time maximize the overall format conversion benefits is proposed, which outperforms previous techniques significantly. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: October 16, 2018

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