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

More and more modern processors have been supporting non-contiguous SIMD data accesses. However, translating such instructions has been overlooked in the Dynamic Binary Translation (DBT) area. For example, in the popular QEMU dynamic binary translator, guest memory instructions with strides are emulated by a sequence of scalar instructions, leaving a significant room for performance improvement when the host machines have SIMD instructions available. Structured loads/stores, such as VLDn/VSTn in ARM NEON, are one type of strided SIMD data access instructions. They are widely used in signal processing, multimedia, mathematical and 2D matrix transposition applications. Efficient translation of such structured loads/stores is a critical issue when migrating ARM executables to other ISAs. However, it is quite challenging since not only the translation of structured loads/stores is not trivial, but also the difference between guest and host register configurations must be taken into consideration. In this work, we present the design and implementation of translating structured loads/stores in DBT, including target code generation as well as efficient SIMD register mapping. Our proposed register mapping mechanisms are not limited to handling structured load/stores, they can be extended to deal with normal SIMD instructions. On a set of OpenCV benchmarks, our QEMU-based system has achieved a maximum speedup of 5.41x, with an average improvement of 2.93x. On a set of BLAS benchmarks, our system has also obtained a maximum speedup of 2.19x and an average improvement of 1.63x.

Wed 21 Jun

LCTES-2017-papers
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
Talk
April W. WadeUniversity of Kansas, Prasad KulkarniUniversity of Kansas, Michael JantzUniversity of Tennessee
LCTES-2017-papers11:15 - 11:40
Talk
Ben TaylorLancaster University, UK, Vicent Sanz MarcoLancaster University, Zheng WangLancaster University
LCTES-2017-papers11:40 - 12:05
Talk
Oliver ReicheFriedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Christof Kobylko, Frank HannigFriedrich-Alexander University Erlangen-Nürnberg (FAU), Jürgen Teich
LCTES-2017-papers12:05 - 12:30
Talk
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