GPU-Acceleration of Block Ciphers in the OpenSSL Cryptographic Library

Gilger, Johannes; Barnickel, Johannes; Meyer, Ulrike

doi:10.1007/978-3-642-33383-5_21

Cited by 30 publications

(15 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To accelerate the OpenSSL transaction, Gilger et al implemented AES, Blowfish, IDEA, Camellia, CAST‐128, and DES in GTX285 and benchmarked them against CPU implementations. The proposed implementation techniques include coalesced global memory access, native instructions for multiplication, and loop unrolling.…”

Section: Resultsmentioning

confidence: 99%

Terabit encryption in a second: Performance evaluation of block ciphers in GPU with Kepler, Maxwell, and Pascal architectures

Lee

Goi

Phan

2018

Concurrency and Computation

View full text Add to dashboard Cite

Summary With the emergence of IoT and cloud computing technologies, massive data are generated from various applications everyday and communicated through the Internet. Secure communication is essential to protect these data from malicious attacks. Block ciphers are one mechanism to offer such protection but unfortunately involve intensive computations that can be performance bottlenecks to the servers, especially when the data center needs to handle thousands of concurrent transactions. In this paper, we investigate the feasibility of the GPU as an accelerator to perform high‐speed encryption in server environments. We present optimized implementations of a conventional block cipher (AES) and new lightweight block ciphers (LEA, Chaskey, SIMON, SPECK, and SIMECK) across three new GPU architectures (Kepler, Maxwell, and Pascal). For AES, we improve the fine‐grain implementation by utilizing the warp shuffle instruction available in these three new GPU architectures, which yield a 6%‐16% improvement over the previous implementations. For LEA, Chaskey, SIMON, SPECK, and SIMECK, we first analyze why they cannot have efficient fine‐grain implementations in the GPU and then present our optimization techniques, which are able to achieve impressive encryption speeds of 1.912, 637, 1.485, 2.291, and 1.478 Tb/s, respectively, in GTX1080.

show abstract

Section: Resultsmentioning

confidence: 99%

Terabit encryption in a second: Performance evaluation of block ciphers in GPU with Kepler, Maxwell, and Pascal architectures

Lee

Goi

Phan

2018

Concurrency and Computation

View full text Add to dashboard Cite

show abstract

“…Osvik et al [25] and Gilger et al [26] showed AES implementation on Nvidia GTX295 and both previous works achieved around 30 Gb/sec used half of GTX295. The half of GTX295 contains the same number of cores as GTX285 but GTX295's core clock (576MHz) is slower than GTX285's (648MHz).…”

Section: Performance Resultsmentioning

confidence: 99%

“…No related work for CIPHERUNICORN-A, Hierocrypt-3, SC2000, nor CLEFIA using GPGPU is described in the literature without our previous work. [19] CUDA AES GTX285 37.8 Nishikawa et al [19] CUDA Camellia GTX285 38.0 Osvik et al [25] CUDA AES GTX295 * 3 30.9 * 4 Li et al [23] CUDA AES C2050 60 Gilger et al [26] CUDA AES GTX295 * 3 29.6 Gilger et al [26] OpenCL AES GTX295 * 3 25.4 Gilger et al [26] CUDA Camellia GTX295 * 3 26.3 Gilger et al [26] OpenCL Camellia GTX295 * 3 26.3 * 3 They use only 1 of 2 chips of GPU (240 cores) * 4 Including data transfer time Qinjian Li et al [23] implemented AES on Nvidia C2050 using CUDA and achieved 60 Gb/sec throughput by reordering plaintext data. A quantitative cost of reordering was not shown.…”

Section: Performance Resultsmentioning

confidence: 99%

HiCrypt: A Specialized Translator for Symmetric Block Cipher and GPGPU

Iwai

Nishikawa

Kurokawa

2013

IEICE Trans. Inf. & Syst.

View full text Add to dashboard Cite

SUMMARYMany-core computer systems with GPUs are coming into mainstream use from high-end computing, including supercomputers, to embedded processors. Consequently, the implementation of cryptographic methods on GPGPU is also becoming popular because of such systems' performance. However, many factors affect the performance of GPUs. To cope with this problem, we developed a new translator, HiCrypt, which can generate an optimized GPGPU program written in both of CUDA and OpenCL from a cipher program written in standard C language with directives. Users must annotate only variables and an encoding/decoding function, which are characteristics of cipher programs, with directives. To evaluate the translator, five representative cipher programs are translated into CUDA and OpenCL programs by the translator. Generated programs perform high throughput almost identical to hand optimized programs for all five cipher programs. HiCrypt will contribute to development and evaluate of new and various symmetric block ciphers using GPGPU.

show abstract

“…Cryptologic applications of GPUs have been considered before: symmetric cryptography in [33,20,56,21,44,11,18], asymmetric cryptography in [39,54,22] for RSA and in [54,1,9] for ECC, and enhancing symmetric [8] and asymmetric [7,5,6,10] cryptanalysis.…”

Section: Introductionmentioning

confidence: 99%

Cofactorization on Graphics Processing Units

Miele

Bos

Kleinjung

et al. 2014

Advanced Information Systems Engineering

View full text Add to dashboard Cite

Abstract. We show how the cofactorization step, a compute-intensive part of the relation collection phase of the number field sieve (NFS), can be farmed out to a graphics processing unit. Our implementation on a GTX 580 GPU, which is integrated with a state-of-the-art NFS implementation, can serve as a cryptanalytic co-processor for several Intel i7-3770K quad-core CPUs simultaneously. This allows those processors to focus on the memory-intensive sieving and results in more useful NFS-relations found in less time.

show abstract

GPU-Acceleration of Block Ciphers in the OpenSSL Cryptographic Library

Cited by 30 publications

References 16 publications

Terabit encryption in a second: Performance evaluation of block ciphers in GPU with Kepler, Maxwell, and Pascal architectures

Terabit encryption in a second: Performance evaluation of block ciphers in GPU with Kepler, Maxwell, and Pascal architectures

HiCrypt: A Specialized Translator for Symmetric Block Cipher and GPGPU

Cofactorization on Graphics Processing Units

Contact Info

Product

Resources

About