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Main Title: Spatio-temporal SIMT and scalarization for improving GPU efficiency
Author(s): Lucas, Jan
Andersch, Michael
Álvarez-Mesa, Mauricio
Juurlink, Ben
Type: Article
Language Code: en
Abstract: Temporal SIMT (TSIMT) has been suggested as an alternative to conventional (spatial) SIMT for improving GPU performance on branch-intensive code. Although TSIMT has been briefly mentioned before, it was not evaluated. We present a complete design and evaluation of TSIMT GPUs, along with the inclusion of scalarization and a combination of temporal and spatial SIMT, named Spatiotemporal SIMT (STSIMT). Simulations show that TSIMT alone results in a performance reduction, but a combination of scalarization and STSIMT yields a mean performance enhancement of 19.6% and improves the energy-delay product by 26.2% compared to SIMT.
Issue Date: 2015
Date Available: 24-Oct-2017
DDC Class: 004 Datenverarbeitung; Informatik
Subject(s): GPUs
branch divergence
temporal SIMT
Sponsor/Funder: EC/FP7/288653/EU/Low-Power Parallel Computing on GPUs/LPGPU
Usage rights: Terms of German Copyright Law
Journal Title: ACM Transactions on Architecture and Code Optimization (TACO)
Publisher: Association for Computing Machinery (ACM)
Publisher Place: New York, NY
Volume: 12
Issue: 3
Article Number: 32
Publisher DOI: 10.1145/2811402
ISSN: 1544-3566
Appears in Collections:Fachgebiet Architektur eingebetteter Systeme » Publications

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