Potential of LLVM for SX-Aurora

Simon Moll (), Matthias Kurtenacker () and Sebastian Hack ()
Additional contact information
Simon Moll: Saarland University
Matthias Kurtenacker: Saarland University
Sebastian Hack: Saarland University

A chapter in Sustained Simulation Performance 2018 and 2019, 2020, pp 111-121 from Springer

Abstract: Abstract The NEC SX-Aurora TSUBASA is a high-performance vector CPU for sustained simulation performance. The existing compiler toolchain for the SX-Aurora is comprehensive but also proprietary restricting its use in research and confining its development to internal teams at NEC. In recent years, the open source LLVM compiler infrastructure has seen significant support and contributions by major players such as NVIDIA, AMD, ARM, Intel, Apple and Google. These employ LLVM in their official toolchains, GPU driver stacks and mission-critical infrastructure. Likewise, many compiler research labs have adopted LLVM for its accessibility, robustness and permissive license. Recently, the LLVM community has been discussing an extension for scalable vector architectures (LLVM-SVE), which feature an active vector length just as the SX-Aurora does. In this paper, we will discuss the potential of LLVM for the NEC SX-Aurora. The Compiler Design Lab at Saarland University is working with NEC on an LLVM-SVE backend for the SX-Aurora.

Date: 2020
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-39181-2_10

Ordering information: This item can be ordered from
http://www.springer.com/9783030391812

DOI: 10.1007/978-3-030-39181-2_10

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().