Tore Kasper Frederiksen, Thomas P. Jakobsen, Jesper Buus Nielsen
We present a new protocol for maliciously secure two-partycomputation based on cut-and-choose of garbled circuits using the recent idea of "forge-and-loose" which eliminates around a factor 3 of garbled circuits that needs to be constructed and evaluated. Our protocol introduces a new way to realize the "forge-and-loose" approach which avoids an auxiliary secure two-party computation […]
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James Gleeson, Sreekumar Rajan, Vandana Saini
In this report, we have taken the first steps in investigating the feasibility of using the GPU as a cryptographic accelerator for the AES algorithm on mobile devices. In particular, our focus was on exploring the use of OpenCL as a framework for implementing the algorithm. Using modifications of an existing implementation [11], we first […]
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Sangho Lee, Youngsok Kim, Jangwoo Kim, Jong Kim
Graphics processing units (GPUs) are important components of modern computing devices for not only graphics rendering, but also efficient parallel computations. However, their security problems are ignored despite their importance and popularity. In this paper, we first perform an in-depth security analysis on GPUs to detect security vulnerabilities. We observe that contemporary, widely-used GPUs, both […]
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Gaurav Budjade
Nowadays, the advancements in internet technology are increasing by leaps and bounds. This has lead to the increase in threats by attackers, consequently compromising system security. Intrusion detection systems (IDS) provide an intelligent way to provide capable system security. Traditionally, IDS’s have been designed using several statistical based methods such as classification algorithms or artificial […]
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A. Nezarat, M.M. Raja, G. Dastghaybifard
SIMD Parallelization is one of the most useful ways of decreasing the computation time and increases the performance of computation intensive algorithms. To do such process, we could execute some processes on several machines by using different platforms like MPI, OpenMP and distribute the workload by using message passing and shared memory. One of the […]
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E.M. Mahé, J.-M. Chauvet
This paper presents a fast implementation to compute the scalar multiplication of elliptic curve points based on a General-Purpose computing on Graphics Processing Units (GPGPU) approach. A GPU implementation using Dan Bernstein’s Curve25519, an elliptic curve over a 255-bit prime field complying with the new 128-bit security level, computes the scalar multiplication in less than […]
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Juan Andres Fraire, Pablo Ferreyra, Carlos Marques
The number of space objects such as satellites, spacecraft, and debris are increasing significantly, and so is the need for tracking them for security and collision avoidance purposes. In this context, as parallelism is becoming a new paradigm, the need of implementing high performance propagators remain unmet. For this, we implemented Simplified General Perturbations No. […]
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Sorin Andrei Visan
This thesis focuses on the testing of WPA/WPA 2 password strength. Recently, due to progress in calculation power and technology, new factors must be taken into account when choosing a WPA/WPA2 secure password. A study regarding the security of the current deployed password is reported here. Harnessing the computational power of a single and old […]
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Hamza Jeljeli
In cryptanalysis, solving the discrete logarithm problem (DLP) is key to assessing the security of many public-key cryptosystems. The index-calculus methods, that attack the DLP in multiplicative subgroups of finite fields, require solving large sparse systems of linear equations modulo large primes. This article deals with how we can run this computation on GPU- and […]
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Vadim Demchik, Alexey Gulov
A general method to produce uniformly distributed pseudorandom numbers with extended precision by combining two pseudorandom numbers with lower precision is proposed. In particular, this method can be used for pseudorandom number generation with extended precision on graphics processing units (GPU), where the performance of single and double precision operations can vary significantly.
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Clementine Maurice, Christoph Neumann, Olivier Heen, Aurelien Francillon
General-Purpose computing on Graphics Processing Units (GPGPU) combined to cloud computing is already a commercial success. However, there is little literature that investigates its security implications. Our objective is to highlight possible information leakage due to GPUs in virtualized and cloud computing environments. We provide insight into the different GPU virtualization techniques, along with their […]
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Laurie Elizabeth Miller
There is an increasing need for computational power to drive software tools used in power systems planning and operations, since the emergence of modern energy markets and recent renewable generation technology fundamentally alters how energy flows through the existing power grid. While special-purpose hardware, including supercomputers, has been explored for this purpose, inexpensive commodity hardware […]
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Free GPU computing nodes at hgpu.org

Registered users can now run their OpenCL application at hgpu.org. We provide 1 minute of computer time per each run on two nodes with two AMD and one nVidia graphics processing units, correspondingly. There are no restrictions on the number of starts.

The platforms are

Node 1
  • GPU device 0: AMD/ATI Radeon HD 5870 2GB, 850MHz
  • GPU device 1: AMD/ATI Radeon HD 6970 2GB, 880MHz
  • CPU: AMD Phenom II X6 @ 2.8GHz 1055T
  • RAM: 12GB
  • OS: OpenSUSE 11.4
  • SDK: AMD APP SDK 2.8
Node 2
  • GPU device 0: AMD/ATI Radeon HD 7970 3GB, 1000MHz
  • GPU device 1: nVidia GeForce GTX 560 Ti 2GB, 822MHz
  • CPU: Intel Core i7-2600 @ 3.4GHz
  • RAM: 16GB
  • OS: OpenSUSE 12.2
  • SDK: nVidia CUDA Toolkit 5.0.35, AMD APP SDK 2.8

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