In recent years, many scientific computing applications have been implemented on GPUs using CUDA, in many cases yielding speed-ups of several orders of magnitude [ 14, 15].
Finally, the web has revolutionized clinical computing and many clinical computing applications are now based on the web.
Many distributed computing applications have been created, of which SETI@home and Folding@home are the best-known examples.
Online survey and full results are available at http://porter.dia.fi.upm.es/cdapubmed/user-satisfaction-survey/ In recent years, different extensions has been designed for web browsers to provide a mechanism of user and context-based customization for many different computing applications, such as PubMed-EX [ 35] to mark-up gene/disease information in PubMed results.
Being the core of many compute-intensive applications, linear algebra computations are the main contributors to their total execution time.
Many current social computing applications focus on one of three strategies: the distribution of a single task to many people (e.g., GalaxyZoo, Foldit, Games with a Purpose), the utilization of humans as a distributed sensor network (e.g., Ushahidi, Layar) or a winner-takes-all approach to problem solving (e.g., Innocentive, One Billion Minds).
MPICH2 is a high performance and portable implementation of the message passing interface (MPI) standard, and has been applied in many high performance computing applications.
Second, the Internet is playing a larger, more integral role in many corporations' collections of computing applications.
Behind current cloud computing applications, there are many technologies and approaches developed over decades in CERN's grid-computing research.
provides enterprise cloud computing applications.
