NDLI: Automatic CPU/GPU Generation of Multi-versioned OpenCL Kernels for C++ Scientific Applications

Content Provider	Springer Nature Link
Author	Sotomayor, Rafael Sanchez, Luis Miguel Garcia Blas, Javier Fernandez, Javier Garcia, J. Daniel
Copyright Year	2016
Abstract	Parallelism has become one of the most extended paradigms used to improve performance. However, it forces software developers to adapt applications and coding mechanisms to exploit the available computing devices. Legacy source code needs to be re-written to take advantage of multi- core and many-core computing devices. Writing parallel applications in a traditional way is hard, expensive, and time consuming. Furthermore, there is often more than one possible transformation or optimization that can be applied to a single piece of legacy code. Therefore many parallel versions of the same original sequential code need to be considered. In this paper, we describe an automatic parallel source code generation workflow (REWORK) for parallel heterogeneous platforms. REWORK automatically identifies promising kernels on legacy C++ source code and generates multiple specific versions of kernels for improving C++ applications, selecting the most adequate version based on both static source code and target platform characteristics.
Starting Page	262
Ending Page	282
Page Count	21
File Format	PDF
ISSN	08857458
Journal	International Journal of Parallel Programming
Volume Number	45
Issue Number	2
e-ISSN	15737640
Language	English
Publisher	Springer US
Publisher Date	2016-05-13
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	OpenCL C++ Multi-versioning Code generation Theory of Computation Processor Architectures Software Engineering/Programming and Operating Systems
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Information Systems Software

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