The Cg Tutorial: The Definitive Guide to Programmable Real-Time Graphics
The Cg Tutorial: The Definitive Guide to Programmable Real-Time Graphics
Brook for GPUs: stream computing on graphics hardware
ACM SIGGRAPH 2004 Papers
C++ Template Metaprogramming: Concepts, Tools, and Techniques from Boost and Beyond (C++ in Depth Series)
Compilers: Principles, Techniques, and Tools (2nd Edition)
Compilers: Principles, Techniques, and Tools (2nd Edition)
Sequoia: programming the memory hierarchy
Proceedings of the 2006 ACM/IEEE conference on Supercomputing
Sequoia: programming the memory hierarchy
Proceedings of the 2006 ACM/IEEE conference on Supercomputing
Accelerating Compute-Intensive Applications with GPUs and FPGAs
SASP '08 Proceedings of the 2008 Symposium on Application Specific Processors
GPU-Acceleration of block ciphers in the OpenSSL cryptographic library
ISC'12 Proceedings of the 15th international conference on Information Security
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We describe the implementation, based on the Compute Unified Device Architecture (CUDA) for Graphics Processing Units (GPU), of a novel and very effective approach to quickly test passphrases used to protect private keyrings of OpenPGP cryptosystems. Our combination of algorithm and implementation, reduces the time required to test a set of possible passphrases by three-orders of magnitude with respect to an attack based on the procedure described in the OpenPGP standard and implemented by software packages like GnuPG, and a tenfold speed up if compared to our highly tuned CPU implementation. Our solution can be considered a replacement and an extension of pgpcrack, a utility used in the past for attacking PGP. The optimizations described can be applied to other cryptosystems and confirm that the GPU architecture is also very effective for running applications that make extensive (if not exclusive) use of integer operations.