Panos M. Pardalos

Sanguthevar Rajasekaran

The technique of randomization has been employed to solve numerous prob lems of computing both sequentially and in parallel. Examples of randomized algorithms that are asymptotically better than their deterministic counterparts in solving various fundamental problems abound. Randomized algorithms have the advantages of simplicity and better performance both in theory and often in practice. This book is a collection of articles written by renowned experts in the area of randomized parallel computing. A brief introduction to randomized algorithms In the aflalysis of algorithms, at least three different measures of performance can be used: the best case, the worst case, and the average case. Often, the average case run time of an algorithm is much smaller than the worst case. 2 For instance, the worst case run time of Hoare's quicksort is O(n ), whereas its average case run time is only O( n log n). The average case analysis is conducted with an assumption on the input space. The assumption made to arrive at the O( n log n) average run time for quicksort is that each input permutation is equally likely. Clearly, any average case analysis is only as good as how valid the assumption made on the input space is. Randomized algorithms achieve superior performances without making any assumptions on the inputs by making coin flips within the algorithm. Any analysis done of randomized algorithms will be valid for all p0:.sible inputs.

Advances in Randomized Parallel Computing

Handbook of Randomized Computing

Pavel Skums

Alexander Zelikovsky

Mukul S. Bansal

Ion Măndoiu

Marmar Moussa

Murray Patterson

This book constitutes revised selected papers from the refereed proceedings of the 11th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2021, held as a virtual event during December 16–18, 2021. The 13 full papers included in this book were carefully reviewed and selected from 17 submissions. They were organized in topical sections as follows: Computational advances in bio and medical sciences; and computational advances in molecular epidemiology.

11th International Conference, ICCABS 2021, Virtual Event, December 16–18, 2021, Revised Selected Papers

Computational Advances in Bio and Medical Sciences

Mohamed Ahmed

Lance Fiondella

Reda A. Ammar

Every area of science and engineering today has to process voluminous data sets. Using exact, or even approximate, algorithms to solve intractable problems in critical areas, such as computational biology, takes time that is exponential in some of the underlying parameters. Parallel computing addresses this issue and has become affordable with the advent of multicore architectures. However, programming multicore machines is much more difficult due to oddities existing in the architectures. Offering insights into different facets of this area, Multicore Computing: Algorithms, Architectures, and Applications focuses on the architectures, algorithms, and applications of multicore computing. It will help readers understand the intricacies of these architectures and prepare them to design efficient multicore algorithms. Contributors at the forefront of the field cover the memory hierarchy for multicore and manycore processors, the caching strategy Flexible Set Balancing, the main features of the latest SPARC architecture specification, the Cilk and Cilk++ programming languages, the numerical software library Parallel Linear Algebra Software for Multicore Architectures (PLASMA), and the exact multipattern string matching algorithm of Aho-Corasick. They also describe the architecture and programming model of the NVIDIA Tesla GPU, discuss scheduling directed acyclic graphs onto multi/manycore processors, and evaluate design trade-offs among Intel and AMD multicore processors, IBM Cell Broadband Engine, and NVIDIA GPUs. In addition, the book explains how to design algorithms for the Cell Broadband Engine and how to use the backprojection algorithm for generating images from synthetic aperture radar data.

Algorithms, Architectures, and Applications

Multicore Computing

Sartaj Sahni

Ellis Horowitz

The author team that established its reputation nearly twenty years ago with Fundamentals of Computer Algorithms offers this new title, available in both pseudocode and C++ versions. Ideal for junior/senior level courses in the analysis of algorithms, this well-researched text takes a theoretical approach to the subject, creating a basis for more in-depth study and providing opportunities for hands-on learning. Emphasizing design technique, the text uses exciting, state-of-the-art examples to illustrate design strategies.

C++ and Pseudocode Versions

Computer Algorithms C++

This book constitutes the refereed proceedings of the First International on Bioinformatics and Computational Biology, BICoB 2007, held in New Orleans, LA, USA, in April 2007. The 30 revised full papers presented together with 10 invited lectures were carefully reviewed and selected from 72 initial submissions. The papers address current research in the area of bioinformatics and computational biology fostering the advancement of computing techniques and their application to life sciences in topics such as genome analysis sequence analysis, phylogenetics, structural bioinformatics, analysis of high-throughput biological data, genetics and population analysis, as well as systems biology.

First International Conference, BICoB 2009, New Orleans, LA, USA, April 8-10, 2009, Proceedings

Bioinformatics and Computational Biology

This volume presents the proceedings of the First International Conference on Bioinformatics and Computational Biology (BICoB 2009). This conference was supported by the International Society for Computers and Applications (ISCA) and Springer. Computational techniques have already enabled unprecedented advances in modern biology and medicine. This continues to be a vibrant research area with broadening of computational techniques and new emerging challenges. The Bioinformatics and Computational Biology (BICoB) conference has the goal of promoting the advancement of computing techniques and their application to life sciences. The topics of interest include (and are not limited to): - Genome analysis: genome assembly; genome and chromosome annotation, gene ?nding; alternative splicing; EST analysis and comparative genomics - Sequence analysis: multiple sequence alignment; sequence search and cl- tering; function prediction, motif discovery, functional site recognition in protein, RNA and DNA sequences - Phylogenetics: phylogeny estimation; models of evolution; comparative b- logical methods; population genetics - StructuralBioinformatics: structurematching, prediction, analysisandc- parison; methods and tools for docking; protein design - Analysis of high-throughput biological data: microarrays (nucleic acid, p- tein, array CGH, genome tiling, and other arrays); EST; SAGE; MPSS; proteomics; mass spectrometry - Geneticsandpopulationanalysis: linkageanalysis;associationanalysis;p- ulation simulation; haplotyping; marker discovery; genotype calling - Systems biology: systems approaches to molecular biology; multiscale m- eling; pathways; gene networks BICoB is interested in all areas of computing with an impact on life sciences including (but not limited to) algorithms, databases, languages, systems, and high-performance computing.

John Reif

The ability of parallel computing to process large data sets and handle time-consuming operations has resulted in unprecedented advances in biological and scientific computing, modeling, and simulations. Exploring these recent developments, the Handbook of Parallel Computing: Models, Algorithms, and Applications provides comprehensive coverage on a

Sanguthevar Rajasekaran

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