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A Robust and Sponge-Like PRNG with Improved Efficiency [chapter]

Daniel Hutchinson
2017 Lecture Notes in Computer Science  
CHES 2010) based its security on the well known sponge indifferentiability proof in the random permutation model and provided no forward security.  ...  Sponges are very desirable, being well studied, increasingly efficient to implement and simplistic in their design. The initial construction of a sponge-based PRNG (Bertoni et al.  ...  [10] , which initially aims to address the situation where a PRNG accumulates entropy at a slow rate, and is at risk of "prematurely" being called before enough entropy has been gathered.  ... 
doi:10.1007/978-3-319-69453-5_21 fatcat:52ogr2f7greuvhrhfrgm44d324

The GAP project: GPU applications for High Level Trigger and Medical Imaging

Matteo Bauce, Andrea Messina, Marco Rescigno, Stefano Giagu, Gianluca Lamanna, Massimiliano Fiorini
2015
In this paper we focus on the application of GPUs in asynchronous trigger systems, employed for the high level trigger of LHC experiments.  ...  In this paper we focus on the application of GPUs in asynchronous trigger systems, employed for the high level trigger of LHC experiments.  ...  All procedures for MC simulations are realized in OpenCL and are optimized for execution on GPUs.  ... 
doi:10.3204/desy-proc-2014-05/1 fatcat:itmpu5ru3vex5oamv4ldjuja3y

Proceedings of the GPU Computing in High-Energy Physics 2014 Conference (GPUHEP2014)

Claudio Bonati, Massimo D'Elia, Gianluca Lamanna, Marco Sozzi
2015
The 38 oral presentations included talks on specific topics in experimental and theoretical applications of GPUs, as well as review talks on applications and technology. 5 posters were also presented,  ...  on GPUs • Use of GPUs in high-level trigger systems • GPUs in tracking and vertexing • Challenges for triggers in future HEP experiments • Reconstruction and Monte Carlo software on GPUs • Software frameworks  ...  All procedures for MC simulations are realized in OpenCL and are optimized for execution on GPUs.  ... 
doi:10.3204/desy-proc-2014-05 fatcat:ghvy6mkhfzcnpgj3rag4jaiyje