Performance Optimization in Parallel Bioinformatics : Techniques, Algorithms, and High-Performance Strategies for Modern Computational Biology

Sita Rani

ISBN 10: 6630294467 / ISBN 13: 9786630294460

Published by LAP LAMBERT Academic Publishing, 2026

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - The explosive growth of genomic and molecular data has transformed bioinformatics into one of the most computationally demanding scientific disciplines. This book presents advanced strategies for optimizing parallel computing to accelerate large-scale bioinformatics applications, with a focus on protein BLAST. It introduces a high-performance GPU-enabled cluster architecture that combines dynamic workload distribution, database fragmentation, CUDA-based GPU acceleration, and OpenMPI communication to deliver scalable and efficient sequence analysis. Through comprehensive performance evaluation using real-world biological datasets, the book demonstrates significant improvements in execution speed, scalability, and resource utilization compared with conventional BLAST implementations. Bridging theory and practical implementation, this book serves as a valuable resource for researchers, graduate students, and HPC professionals seeking modern solutions for high-performance bioinformatics and next-generation computational biology.

Seller Inventory # 9786630294460

Bibliographic Details

• Title: Performance Optimization in Parallel Bioinformatics : Techniques, Algorithms, and High-Performance Strategies for Modern Computational Biology
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2026
• Language: English
• ISBN 10: 6630294467
• ISBN 13: 9786630294460
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 11D millimeters 220 millimeters width by 150 millimeters height by 11 millimeters depth
• Weight: 286 grams

About this title

Synopsis

The explosive growth of genomic and molecular data has transformed bioinformatics into one of the most computationally demanding scientific disciplines. This book presents advanced strategies for optimizing parallel computing to accelerate large-scale bioinformatics applications, with a focus on protein BLAST. It introduces a high-performance GPU-enabled cluster architecture that combines dynamic workload distribution, database fragmentation, CUDA-based GPU acceleration, and OpenMPI communication to deliver scalable and efficient sequence analysis. Through comprehensive performance evaluation using real-world biological datasets, the book demonstrates significant improvements in execution speed, scalability, and resource utilization compared with conventional BLAST implementations. Bridging theory and practical implementation, this book serves as a valuable resource for researchers, graduate students, and HPC professionals seeking modern solutions for high-performance bioinformatics and next-generation computational biology.