The AES Implantation Based on OpenCL for Multi/many Core Architecture

Gervasi, Osvaldo; Russo, Diego; Vella, Flavio

doi:10.1109/iccsa.2010.44

Cited by 28 publications

(11 citation statements)

References 2 publications

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“…However, disassembling data structures into simple elements also requires time, which might be long enough to make the whole approach inefficient. This solution was successful in the multicore personal computer system [8,9], where each processor's core was able to process its data block concurrently. Although there were two versions of this code, i.e.…”

Section: Implementation Of Aes In Labview For the Compactriomentioning

confidence: 96%

“…The second approach involves design of the logical gates configuration to execute the encryption and decryption by the hardware. The latter solution promises better efficiency, as the fastest AES implementations to date are created using FPGA or other hardware-based solutions [9,10]. In CompactRIO this may cause a problem, as FPGA, controls I/O modules in the first place.…”

Section: Implementation Of Aes In Labview For the Compactriomentioning

confidence: 99%

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Implementation of symmetric cryptography in embedded systems for secure measurement systems

Bilski

Winiecki

Adamski

2011

2011 IEEE International Instrumentation and Measurement Technology Conference

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The paper presents the implementation of the symmetric cryptography in the distributed measurement system. Firstly, reasons for increasing the security in such systems are presented. Then, fundamentals of cryptography from the measuring systems' point of view are introduced. Role and structure of embedded systems in modern distributed environments is explained. As the example of presented problems, implementation of the AES system on the Compact RIO module is presented and tested for both efficiency and accuracy. The paper is supplemented with conclusions and future prospects.

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Section: Implementation Of Aes In Labview For the Compactriomentioning

confidence: 96%

Section: Implementation Of Aes In Labview For the Compactriomentioning

confidence: 99%

Implementation of symmetric cryptography in embedded systems for secure measurement systems

Bilski

Winiecki

Adamski

2011

2011 IEEE International Instrumentation and Measurement Technology Conference

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“…Gervasi et al implemented AES-192 and achieved about 38.6 Mbps at 2 KB file size ignoring data transfer using OpenCL on an AMD Firestream 9270 with VLIW architecture [7]. Moreover, the throughput of their AES-192 with data transfer was 31.9 Mbps.…”

Section: Throughput Of Block Ciphers On Gpusmentioning

confidence: 99%

Throughput and Power Efficiency Evaluation of Block Ciphers on Kepler and GCN GPUs Using Micro-Benchmark Analysis

Nishikawa

Iwai

Tanaka

et al. 2014

IEICE Trans. Inf. & Syst.

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SUMMARYComputer systems with GPUs are expected to become a strong methodology for high-speed encryption processing. Moreover, power consumption has remained a primary deterrent for such processing on devices of all sizes. However, GPU vendors are currently announcing their future roadmaps of GPU architecture development: Nvidia Corp. promotes the Kepler architecture and AMD Corp. emphasizes the GCN architecture. Therefore, we evaluated throughput and power efficiency of three 128-bit block ciphers on GPUs with recent Nvidia Kepler and AMD GCN architectures. From our experiments, whereas the throughput and per-watt throughput of AES-128 on Radeon HD 7970 (2048 cores) with GCN architecture are 205.0 Gbps and 1.3 Gbps/Watt respectively, those on Geforce GTX 680 (1536 cores) with Kepler architecture are, respectively, 63.9 Gbps and 0.43 Gbps/W; an approximately 3.2 times throughput difference occurs between AES-128 on the two GPUs. Next, we investigate the reasons for the throughput difference using our micro-benchmark suites. According to the results, we speculate that to ameliorate Kepler GPUs as co-processor of block ciphers, the arithmetic and logical instructions must be improved in terms of software and hardware.

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“…Our evaluation shows that the total runtime is over 1.1GB/s. As shown by [Li…12] and [Gervasi…10], GPUs can accelerate AES computation. However, as shown in Table 2 and Table 3, GPU calculation capacity varies widely according to their architecture.…”

Section: Allocation Implementation Decision Regarding the Laptop Scenmentioning

confidence: 99%

Data protection: Combining fragmentation, encryption, and dispersion

Memmi

Kapusta

Qiu

2015

2015 International Conference on Cyber Security of Smart Cities, Industrial Control System and Communications (SSIC)

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The AES Implantation Based on OpenCL for Multi/many Core Architecture

Cited by 28 publications

References 2 publications

Implementation of symmetric cryptography in embedded systems for secure measurement systems

Implementation of symmetric cryptography in embedded systems for secure measurement systems

Throughput and Power Efficiency Evaluation of Block Ciphers on Kepler and GCN GPUs Using Micro-Benchmark Analysis

Data protection: Combining fragmentation, encryption, and dispersion

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