Parallel prefix sum / vector reduction. This lab focuses on the application of efficient parallel algorithms that utilize shared memory and synchronization and minimize path divergence. 2D convolution ...

Parallel prefix sum / vector reduction. This lab focuses on the application of efficient parallel algorithms that utilize shared memory and synchronization and minimize path divergence. 2D convolution ...

The Δ-Motif algorithm leverages open-source libraries such as Pandas and Numpy, and achieves parallel processing on GPUs through NVIDIA's RAPIDS. According to benchmark tests, the algorithm's speed is ...

A corollary of this result is an 𝑂 (𝑛 2 (l o g 𝑛) l o g (𝑛 𝐶)) -time, m-processor parallel minimum-cost circulation algorithm. Our approach also yields strongly polynomial minimum-cost ...

Parallel tempering is a generic Markov chain Monte Carlo sampling method which allows good mixing with multimodal target distributions, where conventional Metropolis-Hastings algorithms often fail.

“GPUs are perfectly suited for data-parallel algorithms with huge datasets, as they provide memory bandwidth and floating-point performance that are several factors faster than the latest CPUs,” he ...