Optimization of Advanced Encryption Standard on Graphics Processing Units

Graphics processing units (GPUs) are specially designed for parallel applications and perform parallel operations much faster than central processing units (CPUs). In this work, we focus on the performance of the Advanced Encryption Standard (AES) on GPUs. We present optimizations which remove bank...

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Autor principal:	Cihangir Tezcan
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Cryptography encryption cryptanalysis Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/0075d4a623674463acf3018cb70fa4b3
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id	oai:doaj.org-article:0075d4a623674463acf3018cb70fa4b3
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spelling	oai:doaj.org-article:0075d4a623674463acf3018cb70fa4b32021-11-10T00:00:42ZOptimization of Advanced Encryption Standard on Graphics Processing Units2169-353610.1109/ACCESS.2021.3077551https://doaj.org/article/0075d4a623674463acf3018cb70fa4b32021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9422754/https://doaj.org/toc/2169-3536Graphics processing units (GPUs) are specially designed for parallel applications and perform parallel operations much faster than central processing units (CPUs). In this work, we focus on the performance of the Advanced Encryption Standard (AES) on GPUs. We present optimizations which remove bank conflicts in shared memory accesses and provide 878.6 Gbps throughput for AES-128 encryption on an RTX 2070 Super, which is equivalent to 4.1 Gbps per Watt. Our optimizations provide more than 2.56x speed-up against the best GPU results in the literature. Our optimized AES implementations on GPUs even outperform any CPU using the hardware level AES New Instructions (AES-NI) and legacy FPGA-based cluster architectures like COPACOBANA and RIVYERA. Even on a low-end GPU like MX 250, we obtained 60.0 Gbps throughput for AES-256 which is generally faster than the read/write speeds of solid disks. Thus, transition from AES-128 to AES-256 when using GPUs would provide military grade security with no visible performance loss. With these breakthrough performances, GPUs can be used as a cryptographic co-processor for file or full disk encryption to remove performance loss coming from CPU encryption. With a single GPU as a co-processor, busy SSL servers can be free from the burden of encryption and use their whole CPU power for other operations. Moreover, these optimizations can help GPUs to practically verify theoretically obtained cryptanalysis results or their reduced versions in reasonable time.Cihangir TezcanIEEEarticleCryptographyencryptioncryptanalysisElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 67315-67326 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Cryptography encryption cryptanalysis Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Cryptography encryption cryptanalysis Electrical engineering. Electronics. Nuclear engineering TK1-9971 Cihangir Tezcan Optimization of Advanced Encryption Standard on Graphics Processing Units
description	Graphics processing units (GPUs) are specially designed for parallel applications and perform parallel operations much faster than central processing units (CPUs). In this work, we focus on the performance of the Advanced Encryption Standard (AES) on GPUs. We present optimizations which remove bank conflicts in shared memory accesses and provide 878.6 Gbps throughput for AES-128 encryption on an RTX 2070 Super, which is equivalent to 4.1 Gbps per Watt. Our optimizations provide more than 2.56x speed-up against the best GPU results in the literature. Our optimized AES implementations on GPUs even outperform any CPU using the hardware level AES New Instructions (AES-NI) and legacy FPGA-based cluster architectures like COPACOBANA and RIVYERA. Even on a low-end GPU like MX 250, we obtained 60.0 Gbps throughput for AES-256 which is generally faster than the read/write speeds of solid disks. Thus, transition from AES-128 to AES-256 when using GPUs would provide military grade security with no visible performance loss. With these breakthrough performances, GPUs can be used as a cryptographic co-processor for file or full disk encryption to remove performance loss coming from CPU encryption. With a single GPU as a co-processor, busy SSL servers can be free from the burden of encryption and use their whole CPU power for other operations. Moreover, these optimizations can help GPUs to practically verify theoretically obtained cryptanalysis results or their reduced versions in reasonable time.
format	article
author	Cihangir Tezcan
author_facet	Cihangir Tezcan
author_sort	Cihangir Tezcan
title	Optimization of Advanced Encryption Standard on Graphics Processing Units
title_short	Optimization of Advanced Encryption Standard on Graphics Processing Units
title_full	Optimization of Advanced Encryption Standard on Graphics Processing Units
title_fullStr	Optimization of Advanced Encryption Standard on Graphics Processing Units
title_full_unstemmed	Optimization of Advanced Encryption Standard on Graphics Processing Units
title_sort	optimization of advanced encryption standard on graphics processing units
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/0075d4a623674463acf3018cb70fa4b3
work_keys_str_mv	AT cihangirtezcan optimizationofadvancedencryptionstandardongraphicsprocessingunits
_version_	1718440714219552768

Optimization of Advanced Encryption Standard on Graphics Processing Units

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