Algorithm Research & Explore
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437-442

Approach of parallel data dependence relation computation based on LLVM IR

Zhu Yan
Zhong Lujie
College of Information Engineering, Capital Normal University, Beijing 100048, China

Abstract

The low level virtual machine(LLVM) is a widely used compiler framework. Its intermediate representation(IR) contains abundant program analysis information, and many related work based on program analysis takes a basis of IR. Data dependence plays an important role in fault detection, fault location, and program debugging. IR-based data-dependence computing often adopts serial iterative approaches, such approaches usually suffer scalability issues when dealing with larger-scale IR contents. To address above issues, this paper carried out the parallelism mining of instructions reading and writing in data dependence calculation. Combined with the parallel computing advantages of graphics processing unit, it proposed a parallel computing method DRPC based on LLVM IR. This method accepted IR as inputs, and achieved efficient program data dependence computation through a CPU-GPU cooperation way. The experimental results show that DRPC's highest speedup is 3.48x and 4.9x respectively in the direct and transitive data dependence computation with benchmark SPEC.

Foundation Support

国家自然科学基金资助项目(61872253,61402303)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.08.0536
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 2
Section: Algorithm Research & Explore
Pages: 437-442
Serial Number: 1001-3695(2020)02-025-0437-06

Publish History

[2020-02-05] Printed Article

Cite This Article

朱燕, 衷璐洁. 基于LLVM中间表示的数据依赖并行计算方法 [J]. 计算机应用研究, 2020, 37 (2): 437-442. (Zhu Yan, Zhong Lujie. Approach of parallel data dependence relation computation based on LLVM IR [J]. Application Research of Computers, 2020, 37 (2): 437-442. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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