CSC/ECE 506 Spring 2015/5b SA: Difference between revisions

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Parallelization of computations in the presence of dynamic data structures has shown immense potential. Here we discuss  
Parallelization of computations in the presence of dynamic data structures has shown immense potential. Here we discuss  
how can we parallelize linked data structures. Efficiently exploiting parallelism is fundamental in parallel computing even in the context of dynamic data structures. Some amount of speculation is needed to figure out how to exploit it the best.  
how can we parallelize linked data structures. Efficiently exploiting parallelism is fundamental in parallel computing even in the context of dynamic data structures. Some amount of '''speculation''' is needed to figure out how to exploit it the best.  
We discuss the major steps in parallelizing data structures and then discuss some techniques and algorithms existing in the literature to gain more insight into it.
We discuss the major steps in parallelizing data structures and then discuss some techniques and algorithms existing in the literature to gain more insight into it.



Revision as of 21:11, 25 February 2015

Introduction

Parallelization of computations in the presence of dynamic data structures has shown immense potential. Here we discuss how can we parallelize linked data structures. Efficiently exploiting parallelism is fundamental in parallel computing even in the context of dynamic data structures. Some amount of speculation is needed to figure out how to exploit it the best. We discuss the major steps in parallelizing data structures and then discuss some techniques and algorithms existing in the literature to gain more insight into it.

Overview

Algorithms

One algorithm to perform parallelization of data structures is PLDS.

Applications

Summary

References