@inproceedings{5c4b3f67ac4a4216b89a32844e49ffae,
title = "Offloading C++17 Parallel STL on System Shared Virtual Memory Platforms",
abstract = "Shared virtual memory simplifies heterogeneous platform programming by enabling sharing of memory address pointers between heterogeneous devices in the platform. The most advanced implementations present a coherent view of memory to the programmer over the whole virtual address space of the process. From the point of view of data accesses, this System SVM (SSVM) enables the same programming paradigm in heterogeneous platforms as found in homogeneous platforms. C++ revision 17 adds its first features for explicit parallelism through its “Parallel Standard Template Library” (PSTL). This paper discusses the technical issues in offloading PSTL on heterogeneous platforms supporting SSVM and presents a working GCC-based proof-of-concept implementation. Initial benchmarking of the implementation on an AMD Carrizo platform shows speedups from 1.28X to 12.78X in comparison to host-only sequential STL execution.",
author = "Pekka J{\"a}{\"a}skel{\"a}inen and John Glossner and Martin Jambor and Aleksi Tervo and Matti Rintala",
note = "jufoid=62555; ISC High Performance International Workshops ; Conference date: 28-06-2018 Through 28-06-2018",
year = "2018",
month = jun,
day = "28",
language = "English",
series = "Theoretical Computer Science and General Issues",
publisher = "Springer",
pages = "637--647",
booktitle = "High Performance Computing",
address = "Germany",
}