Stefan Gradinger

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Working on cryptanalytic tasks using a heterogeneous cluster with different types of processors (CPU, GPU, FPGA) can be an advantage over classical homogeneous clusters. In this paper we demonstrate that distributing crypt analytics tasks to different types of processors can lead to better performance than can be achieved using a single type of processor.(More)
The complexity estimate of a hash collision algorithm is given by the unit hash compressions. This paper shows that this figure can lead to false runtime estimates when accelerating the algorithm by the use of graphics processing units (GPU) and field-programmable gate arrays (FPGA). For demonstration, parts of the CPU reference implementation of Marc(More)
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