2013/05/14 by Muhammad Hafizhuddin Hilman, Muhammad Hilman, Hilman, Muhammad +4
Biochemistry, Genetics and Molecular Biology · Computer Science · Health Professions · #Artificial Intelligence in Healthcare #Distributed #FOS: Computer and information sciences #Gene expression and cancer classification #Genetics, Bioinformatics, and Biomedical Research #Machine Learning in Bioinformatics #Parallel #and Cluster Computing (cs.DC) #cs.DC
paper · pdf · doi:10.48550/arxiv.1305.3123
2010 International Conference on Advanced Computer Science and Information Systems
arxiv created 2013/05/14 · openalex publication_date 2013/05/14 · arxiv updated 2013/05/15 · openalex created_date 2022/10/04 · openalex updated_date 2026/07/28
IT based scientific research requires high computational resources. The limitation on funding and infrastructure led the high performance computing era from supercomputer to cluster and grid computing technology. Parallel application running well on cluster computer as well as supercomputer, one of the type is embarrassingly parallel application. Many scientist loves EP because it doesn't need any sophisticated technique but gives amazing performance. This paper discuss the bioinformatics research that used embarrassingly application and show its performance on cluster computer.