Cuda Jezusa w interpretacji św. Marka

CS 224 W Project Final Report CUDA Implementation of Large Graph Algorithms Group

Running SCC graph algorithms on large datasets can be a time-consuming task, and we spent the quarter investigating methods of parallelizing this task using CUDA. For very large graphs, too much time can be wasted by not parallelizing the graph algorithms, and we want some of the insights from our experiments to be used to speed up common graph analysis tasks. We initially started by implementi...

Efficient CUDA

Recent work in deep learning has created a voracious demand for more compute cycles, but with the slowdown of Moore’s law, CPUs cannot keep up with the demand. Thus, attention has turned to massively-parallel hardware accelerators, ranging from new processing units designed specifically for deep learning to the repurposing of existing technologies like Fieldprogrammable gate arrays (FPGAs) and ...

Cuda Accelerated Ltl Model Checking Cuda Accelerated Ltl Model Checking *

Recent technological developments made available various many-core hardware platforms. For example, a SIMD-like hardware architecture became easily accessible for many users who have their computers equipped with modern NVIDIA GPU cards with CUDA technology. In this paper we redesign the maximal accepting predecessors algorithm [7] for LTL model checking in terms of matrix-vector product in ord...

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Berkeley’s Dwarfs on CUDA