Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-7346
Main Title: VComputeBench: A Vulkan Benchmark Suite for GPGPU on Mobile and Embedded GPUs
Author(s): Mammeri, Nadjib
Juurlink, Ben
Type: Conference Object
Language Code: en
Abstract: GPUs have become immensely important computational units on embedded and mobile devices. However, GPGPU developers are often not able to exploit the compute power offered by GPUs on these devices mainly due to the lack of support of traditional programming models such as CUDA and OpenCL. The recent introduction of the Vulkan API provides a new programming model that could be explored for GPGPU computing on these devices, as it supports compute and promises to be portable across different architectures. In this paper we propose VComputeBench, a set of benchmarks that help developers understand the differences in performance and portability of Vulkan. We also evaluate the suitability of Vulkan as an emerging cross-platform GPGPU framework by conducting a thorough analysis of its performance compared to CUDA and OpenCL on mobile as well as on desktop platforms. Our experiments show that Vulkan provides better platform support on mobile devices and can be regarded as a good crossplatform GPGPU framework. It offers comparable performance and with some low-level optimizations it can offer average speedups of 1.53x and 1.66x compared to CUDA and OpenCL respectively on desktop platforms and 1.59x average speedup compared to OpenCL on mobile platforms. However, while Vulkan’s low-level control can enhance performance, it requires a significantly higher programming effort.
URI: https://depositonce.tu-berlin.de//handle/11303/8191
http://dx.doi.org/10.14279/depositonce-7346
Issue Date: 2018
Date Available: 19-Oct-2018
DDC Class: 004 Datenverarbeitung; Informatik
Subject(s): VComputeBench
Vulkan
SPIR-V
GPGPU
CUDA
OpenCL
Rodinia
mobile
Sponsor/Funder: EC/H2020/688759/EU/Low-Power Parallel Computing on GPUs 2/LPGPU2
License: http://rightsstatements.org/vocab/InC/1.0/
Proceedings Title: 2018 IEEE International Symposium on Workload Characterization
Publisher: IEEE
Publisher Place: New York
Appears in Collections:FG Architektur eingebetteter Systeme » Publications

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