This paper presents a fast and portable parallelnalgorithm for finding the median given a set of elements distributednacross a parallel machine. In fact, our algorithm solves the generalnselection problem that
Evolutionary computation techniques have seen a considerable popularity as problem solving and optimisation tools in recent years. Theoreticians have developed a variety of both exact and approximate models for evolutionary program induction algorithms. However, these models are often criticised for being ...
Quantum computing is moving beyond its early stage and seeking for commercial applications in chemical and biomedical sciences. In the current noisy intermediate-scale quantum computing era, the quantum resource is too scarce to support these exploration
and Shuf,e Exchange 2:Algorithms for the Connected Componentabeling Problem on two and three dimen-ional images networkader and J´aJ´a[2]present an architecture independent parallel 2.1:Outline of the algorithms algorithm for the 2D image case Their algorithm uses the Block In the following...
A bridging model for parallel computing should be simple and applicable to many different existing and future parallel machines. Algorithms designed for such a model should be relatively easy to analyse and result in predictable, portable and efficient programs. The BSP model was designed by Valiant...
to be from the lens for parallel rays to map to a single point. The aperture is simply the diameter of the lens receiving light. The thin lens equation relates an object's distance from the lensuto the distance from the lens at which it is in focusvand the focal length of t...
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署) 261 yuliskov/SmartTube SmartTube - an advanced player for set-top boxes and tvs running Android OS 262 blakeblackshear/frigate NVR with re...
HPC Matmul Algorithms 10. ArticlesInsights into GPU performance and its nuances:The GPU is Not Always Faster Series of articles explaining GPU programming -> Demystifying CPUs and GPUs: What You Need to Know, How the way a computer works, Terminology in parallel programming, Hello world Cuda-C...
Y. Chen, A. Kuhnle, Practical and parallelizable algorithms for non-monotone submodular maximization with size constraint. J. Artif. Intel. Res., 599–637 (2024) Y. Chen, T. Dey, A. Kuhnle, Best of both worlds: practical and theoretically optimal submodular maximization in parallel, inAdvanc...
A case is made for why a task-oriented approach lends itself to the twin goals of programming ease and run-time efficiency. The approach is then described in the context of Task-Oriented Parallel C (TOP-C), an example of a system to support task-oriented parallelism. In this system, ...