Author: Assefaw Hadish GebremedhinPublisher:
ISBN:
Category :
Languages : en
Pages : 46
Book Description
Scalable, Shared Memory Parallel Graph Coloring Heuristics
Author: Assefaw Hadish GebremedhinPublisher:
ISBN:
Category :
Languages : en
Pages : 46
Book Description
Shared-Memory Parallelism Can be Simple, Fast, and Scalable
Author: Julian ShunPublisher: Morgan & Claypool
ISBN: 1970001895
Category : Computers
Languages : en
Pages : 445
Book Description
Parallelism is the key to achieving high performance in computing. However, writing efficient and scalable parallel programs is notoriously difficult, and often requires significant expertise. To address this challenge, it is crucial to provide programmers with high-level tools to enable them to develop solutions easily, and at the same time emphasize the theoretical and practical aspects of algorithm design to allow the solutions developed to run efficiently under many different settings. This thesis addresses this challenge using a three-pronged approach consisting of the design of shared-memory programming techniques, frameworks, and algorithms for important problems in computing. The thesis provides evidence that with appropriate programming techniques, frameworks, and algorithms, shared-memory programs can be simple, fast, and scalable, both in theory and in practice. The results developed in this thesis serve to ease the transition into the multicore era. The first part of this thesis introduces tools and techniques for deterministic parallel programming, including means for encapsulating nondeterminism via powerful commutative building blocks, as well as a novel framework for executing sequential iterative loops in parallel, which lead to deterministic parallel algorithms that are efficient both in theory and in practice. The second part of this thesis introduces Ligra, the first high-level shared memory framework for parallel graph traversal algorithms. The framework allows programmers to express graph traversal algorithms using very short and concise code, delivers performance competitive with that of highly-optimized code, and is up to orders of magnitude faster than existing systems designed for distributed memory. This part of the thesis also introduces Ligra+, which extends Ligra with graph compression techniques to reduce space usage and improve parallel performance at the same time, and is also the first graph processing system to support in-memory graph compression. The third and fourth parts of this thesis bridge the gap between theory and practice in parallel algorithm design by introducing the first algorithms for a variety of important problems on graphs and strings that are efficient both in theory and in practice. For example, the thesis develops the first linear-work and polylogarithmic-depth algorithms for suffix tree construction and graph connectivity that are also practical, as well as a work-efficient, polylogarithmic-depth, and cache-efficient shared-memory algorithm for triangle computations that achieves a 2–5x speedup over the best existing algorithms on 40 cores. This is a revised version of the thesis that won the 2015 ACM Doctoral Dissertation Award.
Graph-Theoretic Concepts in Computer Science
Author: Ulrik BrandesPublisher: Springer
ISBN: 3540400648
Category : Computers
Languages : en
Pages : 324
Book Description
The 26th International Workshop on Graph-Theoretic Concepts in Computer Science (WG 2000) was held at Waldhaus Jakob, in Konstanz, Germany, on 15{ 17 June 2000. It was organized by the Algorithms and Data Structures Group of the Department of Computer and Information Science, University of K- stanz, and sponsored by Deutsche Forschungsgemeinschaft (DFG) and Univ- sit ̈atsgesellschaft Konstanz. The workshop aims at uniting theory and practice by demonstrating how graph-theoretic concepts can be applied to various areas in computer science, or by extracting new problems from applications. The goal is to present recent research results and to identify and explore directions for future research. The workshop looks back on a remarkable tradition of more than a quarter of a century. Previous Workshops have been organized in various places in Europe, and submissions come from all over the world. This year, 57 attendees from 13 di erent countries gathered in the relaxing atmosphere of Lake Constance, also known as the Bodensee. Out of 51 submis- ons, the program committee carefully selected 26 papers for presentation at the workshop. This selection re?ects current research directions, among them graph and network algorithms and their complexity, algorithms for special graph cl- ses, communication networks, and distributed algorithms. The present volume contains these papers together with the survey presented in an invited lecture by Ingo Wegener (University of Dortmund) and an extended abstract of the invited lecture given by Emo Welzl (ETH Zuric ̈ h).
Graph Coloring in Optimization Revisited
Author: Assefaw Hadish GebremedhinPublisher:
ISBN:
Category :
Languages : en
Pages : 48
Book Description
Generalized H-coloring of Graphs
Author: Petter KristiansenBroadcast Domination Algorithms for Interval Graphs, Series-parallel Graphs, and Trees
Author: Jean R. S. BlairA 2-tiered Software Process Model for Utilizing Casl
Author: Magne HaveraaenEuro-Par 2002. Parallel Processing
Author: Burkhard MonienPublisher: Springer Science & Business Media
ISBN: 3540440496
Category : Computers
Languages : en
Pages : 1017
Book Description
This book constitutes the refereed proceedings of the 8th European Conference on Parallel Computing, Euro-Par 2002, held in Paderborn, Germany in August 2002. The 67 revised full papers and 55 research note papers presented together with 6 invited papers were carefully reviewed and selected from 265 submissions. The papers presented give a unique survey of the state of the art in parallel computing research, ranging from algorithms, software, hardware and application in various fields.
Logic with Equality for Multialgebras
Author: Yngve LamoMassive Graph Analytics
Author: David A. BaderPublisher: CRC Press
ISBN: 1000538613
Category : Business & Economics
Languages : en
Pages : 632
Book Description
"Graphs. Such a simple idea. Map a problem onto a graph then solve it by searching over the graph or by exploring the structure of the graph. What could be easier? Turns out, however, that working with graphs is a vast and complex field. Keeping up is challenging. To help keep up, you just need an editor who knows most people working with graphs, and have that editor gather nearly 70 researchers to summarize their work with graphs. The result is the book Massive Graph Analytics." — Timothy G. Mattson, Senior Principal Engineer, Intel Corp Expertise in massive-scale graph analytics is key for solving real-world grand challenges from healthcare to sustainability to detecting insider threats, cyber defense, and more. This book provides a comprehensive introduction to massive graph analytics, featuring contributions from thought leaders across academia, industry, and government. Massive Graph Analytics will be beneficial to students, researchers, and practitioners in academia, national laboratories, and industry who wish to learn about the state-of-the-art algorithms, models, frameworks, and software in massive-scale graph analytics.