Randomized Parallel Computation
نویسندگان
چکیده
The scope of this paper is to survey randomized parallel algorithms available for various computational problems. We do not claim to give a comprehensive list of all the randomized parallel algorithms that have been discovered so far. We only discuss representative examples which demonstrate the special features of both randomization and parallelization. The areas of CS we consider are: 1) routing and sorting, 2) processor load balancing, 3) algebra, and 4) graph theory. We also discuss in this paper various ways of derandomizing randomized parallel algorithms.
منابع مشابه
Parallel computation framework for optimizing trailer routes in bulk transportation
We consider a rich tanker trailer routing problem with stochastic transit times for chemicals and liquid bulk orders. A typical route of the tanker trailer comprises of sourcing a cleaned and prepped trailer from a pre-wash location, pickup and delivery of chemical orders, cleaning the tanker trailer at a post-wash location after order delivery and prepping for the next order. Unlike traditiona...
متن کاملEfficient implementation of low time complexity and pipelined bit-parallel polynomial basis multiplier over binary finite fields
This paper presents two efficient implementations of fast and pipelined bit-parallel polynomial basis multipliers over GF (2m) by irreducible pentanomials and trinomials. The architecture of the first multiplier is based on a parallel and independent computation of powers of the polynomial variable. In the second structure only even powers of the polynomial variable are used. The par...
متن کاملRandomized Algorithms on the Mesh
The mesh-connected array is an attractive architecture for parallel machines, and a number of existing parallel machines are based on a mesh topology. In this paper, we survey the results on three fundamental problems in parallel computation: routing, sorting, and selection, and demonstrate that randomized algorithms for these problems on the mesh are often the most natural and e cient algorith...
متن کاملOptimization of Agricultural BMPs Using a Parallel Computing Based Multi-Objective Optimization Algorithm
Beneficial Management Practices (BMPs) are important measures for reducing agricultural non-point source (NPS) pollution. However, selection of BMPs for placement in a watershed requires optimizing available resources to maximize possible water quality benefits. Due to its iterative nature, the optimization typically takes a long time to achieve the BMP trade-off results which is not desirable ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1988