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LCTES 2017
Wed 21 - Thu 22 June 2017 Barcelona, Spain
co-located with PLDI 2017

The parallelization of programs and distributing their workloads to multiple threads can be a challenging task. In addition to multi- threading, harnessing vector units in CPUs proves highly desirable. However, employing vector units to speed up programs can be quite tedious. Either a program developer solely relies on the auto-vectorization capabilities of the compiler or he manually applies vector intrinsics, which is extremely error-prone, difficult to maintain, and not portable at all. Based on whole-function vectorization, a method to replace con- trol flow with data flow, we propose auto-vectorization techniques for image processing DSLs in the context of source-to-source com- pilation. The approach does not require the input to be available in SSA form. Moreover, we formulate constraints under which the vectorization analysis and code transformations may be greatly sim- plified in the context of image processing DSLs. As part of our methodology, we present control flow to data flow transformation as a source-to-source translation. Moreover, we propose a method to efficiently analyze algorithms with mixed bit-width data types to determine the optimal SIMD width, independently of the target instruction set. The techniques are integrated into an open source DSL framework. Subsequently, the vectorization capabilities are compared to a variety of existing state-of-the-art C/C ++ compilers. Speedups of up to 7.4 are observed for benchmarks taken from ISPC and image processing, compared to non-vectorized executions.

Wed 21 Jun
Times are displayed in time zone: (GMT+02:00) Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

10:50 - 12:30: LCTES 2017 - Session 1: Compiler Optimization for Embedded Systems at Vertex WS208
Chair(s): Yi WangShenzhen University
LCTES-2017-papers10:50 - 11:15
April W. WadeUniversity of Kansas, Prasad KulkarniUniversity of Kansas, Michael JantzUniversity of Tennessee
LCTES-2017-papers11:15 - 11:40
Ben TaylorLancaster University, UK, Vicent Sanz MarcoLancaster University, Zheng WangLancaster University
LCTES-2017-papers11:40 - 12:05
Oliver ReicheFriedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Christof Kobylko, Frank HannigFriedrich-Alexander University Erlangen-Nürnberg (FAU), Jürgen Teich
LCTES-2017-papers12:05 - 12:30
Sheng-Yu Fu, Ding-Yong HongInstitute of Information Science, Academia Sinica, Ping YuDepartment of Computer Science and Information Engineering, National Taiwan University, Jan-Jan WuInstitute of Information Science, Academia Sinica, Wei-Chung HsuDept. Computer Science & Information Engineering, National Taiwan University