A Translation Framework for Automatic Translation of Annotated LLVM IR into OpenCL Kernel Function

Chen Ting Chang; Yu Sheng Chen; I. Wei Wu; Jyh-Jiun Shann

doi:10.1007/978-3-642-35473-1_62

A Translation Framework for Automatic Translation of Annotated LLVM IR into OpenCL Kernel Function

Chen Ting Chang^*, Yu Sheng Chen, I. Wei Wu, Jyh-Jiun Shann

^*Corresponding author for this work

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

4 Scopus citations

Abstract

Heterogeneous multi-core processor is proposed to accelerate applications using an application-specific hardware, such as graphics processing unit (GPU). However, heterogeneous multi-core processor is difficult to program. Therefore, OpenCL (Open Computing Language) standard recently has been proposed to reduce the difficulty. A program of OpenCL mainly consists of the host code (executed on CPU) and the device code (executed on GPU or other accelerators). LLVM (Low Level Virtual Machine) is a compiler infrastructure and supports a variety of front-ends into LLVM IR (Intermediate Representation). To help translate programs written by different programming languages of LLVM front-ends to OpenCL, this work defines some extensions of LLVM IR to represent the kernel function of OpenCL. Furthermore, a translation framework is designed and implemented to translate annotated LLVM IR to OpenCL kernel function.

Original language	English
Title of host publication	Advances in Intelligent Systems and Applications - Volume 2
Subtitle of host publication	Proceedings of the International Computer
Editors	Chang Ruay-Shiung, Peng Sheng-Lung, Lin Chia-Chen
Pages	627-636
Number of pages	10
DOIs	https://doi.org/10.1007/978-3-642-35473-1_62
State	Published - 2013

Publication series

Name	Smart Innovation, Systems and Technologies
Volume	21
ISSN (Print)	2190-3018
ISSN (Electronic)	2190-3026

Keywords

Heterogeneous multi-core
LLVM
OpenCL

Access to Document

10.1007/978-3-642-35473-1_62

Cite this

Chang, C. T., Chen, Y. S., Wu, I. W., & Shann, J.-J. (2013). A Translation Framework for Automatic Translation of Annotated LLVM IR into OpenCL Kernel Function. In C. Ruay-Shiung, P. Sheng-Lung, & L. Chia-Chen (Eds.), Advances in Intelligent Systems and Applications - Volume 2: Proceedings of the International Computer (pp. 627-636). (Smart Innovation, Systems and Technologies; Vol. 21). https://doi.org/10.1007/978-3-642-35473-1_62

Chang, Chen Ting ; Chen, Yu Sheng ; Wu, I. Wei et al. / A Translation Framework for Automatic Translation of Annotated LLVM IR into OpenCL Kernel Function. Advances in Intelligent Systems and Applications - Volume 2: Proceedings of the International Computer. editor / Chang Ruay-Shiung ; Peng Sheng-Lung ; Lin Chia-Chen. 2013. pp. 627-636 (Smart Innovation, Systems and Technologies).

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abstract = "Heterogeneous multi-core processor is proposed to accelerate applications using an application-specific hardware, such as graphics processing unit (GPU). However, heterogeneous multi-core processor is difficult to program. Therefore, OpenCL (Open Computing Language) standard recently has been proposed to reduce the difficulty. A program of OpenCL mainly consists of the host code (executed on CPU) and the device code (executed on GPU or other accelerators). LLVM (Low Level Virtual Machine) is a compiler infrastructure and supports a variety of front-ends into LLVM IR (Intermediate Representation). To help translate programs written by different programming languages of LLVM front-ends to OpenCL, this work defines some extensions of LLVM IR to represent the kernel function of OpenCL. Furthermore, a translation framework is designed and implemented to translate annotated LLVM IR to OpenCL kernel function.",

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author = "Chang, {Chen Ting} and Chen, {Yu Sheng} and Wu, {I. Wei} and Jyh-Jiun Shann",

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language = "English",

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Chang, CT, Chen, YS, Wu, IW & Shann, J-J 2013, A Translation Framework for Automatic Translation of Annotated LLVM IR into OpenCL Kernel Function. in C Ruay-Shiung, P Sheng-Lung & L Chia-Chen (eds), Advances in Intelligent Systems and Applications - Volume 2: Proceedings of the International Computer. Smart Innovation, Systems and Technologies, vol. 21, pp. 627-636. https://doi.org/10.1007/978-3-642-35473-1_62

A Translation Framework for Automatic Translation of Annotated LLVM IR into OpenCL Kernel Function. / Chang, Chen Ting; Chen, Yu Sheng; Wu, I. Wei et al.
Advances in Intelligent Systems and Applications - Volume 2: Proceedings of the International Computer. ed. / Chang Ruay-Shiung; Peng Sheng-Lung; Lin Chia-Chen. 2013. p. 627-636 (Smart Innovation, Systems and Technologies; Vol. 21).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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AB - Heterogeneous multi-core processor is proposed to accelerate applications using an application-specific hardware, such as graphics processing unit (GPU). However, heterogeneous multi-core processor is difficult to program. Therefore, OpenCL (Open Computing Language) standard recently has been proposed to reduce the difficulty. A program of OpenCL mainly consists of the host code (executed on CPU) and the device code (executed on GPU or other accelerators). LLVM (Low Level Virtual Machine) is a compiler infrastructure and supports a variety of front-ends into LLVM IR (Intermediate Representation). To help translate programs written by different programming languages of LLVM front-ends to OpenCL, this work defines some extensions of LLVM IR to represent the kernel function of OpenCL. Furthermore, a translation framework is designed and implemented to translate annotated LLVM IR to OpenCL kernel function.

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Chang CT, Chen YS, Wu IW, Shann JJ. A Translation Framework for Automatic Translation of Annotated LLVM IR into OpenCL Kernel Function. In Ruay-Shiung C, Sheng-Lung P, Chia-Chen L, editors, Advances in Intelligent Systems and Applications - Volume 2: Proceedings of the International Computer. 2013. p. 627-636. (Smart Innovation, Systems and Technologies). doi: 10.1007/978-3-642-35473-1_62

A Translation Framework for Automatic Translation of Annotated LLVM IR into OpenCL Kernel Function

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