A Brief Overview of Parallel Algorithms.
Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent Feng Niu, Benjamin Recht, Christopher R e and Stephen J. Wright Computer Sciences Department, University of Wisconsin-Madison 1210 W Dayton St, Madison, WI 53706 June 2011 Abstract Stochastic Gradient Descent (SGD) is a popular algorithm that can achieve state-of-the-art.
For example if your paper is about Parallel Sorting Algorithms, you might organize your Literature Review subsections around different approaches or cases: Parallel sorting for MIMD, shared memory architectures Parallel sorting for MIMD, distributed memory architectures Parallel sorting for SIMD, shared memory architectures.
In computer science, a parallel algorithm, as opposed to a traditional serial algorithm, is an algorithm which can be executed a piece at a time on many different processing devices, and then combined together again at the end to get the correct result. Skip to search form Skip to main content.
Abstract: This paper presents a short survey of the key research work that has been undertaken in the application of parallel algorithms for Fractal image compression. The interest in fractal image compression techniques stems from their ability to achieve high compression ratios whilst maintaining a very high quality in the reconstructed image.
In this paper novel system architecture for CBIR system which combines techniques includes CBIR and fuzzy based feature extraction, indexing procedure as well as genetic algorithm.
My current research interest is design efficient (usually parallel) algorithms for large-scale data with good performance in practice. This is the link to my lovely wife's homepage. Ph.D. Thesis. Write-efficient algorithms, Carnegie Mellon University, 2018. Selected Publications. Papers on this page are categorized in different topics.
Many of the principles of algorithm engineering will be illustrated in the context of parallel algorithms and graph problems. Students will read and present research papers, participate in class discussions, and complete a semester-long research project. Class time will consist of lectures, student presentations, and group project meetings.