In Bioinformatics, we can find a variety of problems which are affected by huge processing times and memory/storage consumption, due to the large size of biological data sets and the inherent complexity of biological problems. In fact, Bioinformatics is one of the most exciting research areas in which Parallelism finds application. Successful examples are mpiBLAST, RAxML-HPC or ClustalW-MPI, among many others. In conclusion, Bioinformatics allows and encourages the application of many different parallelism-based technologies. The focus of this workshop is on parallel and distributed computing in bioinformatics, and consequently, we welcome any technique based on: multicore computing, cluster computing, supercomputing, cloud computing, grid computing, green computing, hardware accelerators as GPUs, FPGAs, etc.
User Name : Jackson
Posted 27-02-2017 on 15:29:03 AEDT