On the design of high-performance algorithms for aligning multiple protein sequences on mesh-based multiprocessor architectures

Keyphrases

• High-performance Algorithms 100%
• Protein Sequence 100%
• Multiple Proteins 100%
• Multiprocessor Architecture 100%
• Mesh-based 100%
• Multiple Sequence Alignment 66%
• Heterologous Protein 33%
• Simulation Study 33%
• Simulation Experiment 33%
• Single Machine 33%
• Parallel Processing 33%
• Parallelization 33%
• Solution Quality 33%
• Computer Processing 33%
• Quality Level 33%
• Dynamic Programming Problem 33%
• Multiprocessor Systems 33%
• Divisible Load Theory 33%
• Smith-Waterman 33%
• Smith-Waterman Algorithm 33%
• Performance-based 33%
• Sequence Processing 33%
• Divisible Loads 33%
• Efficient Strategy 33%
• Multiple Sequences 33%
• Alignment Problem 33%
• Partitioning Strategy 33%
• Heuristic Scheme 33%
• Serial System 33%
• Rattus Norvegicus 33%
• Multiple Protein Sequence Alignment 33%
• Biological Sequences 33%
• Rigorous Simulation 33%
• Mus musculus 33%
• Olfactory Receptor 33%
• Load Partitioning 33%

Computer Science

• multi-processor 100%
• Algorithm Performance 100%
• Sequence Alignment 100%
• Distributed Ledger Technology 100%
• Speed-up 66%
• Parallel Processing 33%
• Single Machine 33%
• Dynamic Programming 33%
• Parallelism 33%
• Simulation Study 33%
• Simulation Experiment 33%
• Multiprocessor System 33%
• Divisible Load Theory 33%
• Acceptable Level 33%
• Processing Approach 33%
• Waterman Algorithm 33%
• Final Solution 33%
• Biological Sequence 33%
• Computational Step 33%