PUBLIC MARKS from user idaashley with tag algorithms

Run machine-learning algorithms on parallel platforms with IBM Parallel Machine Learning (PML) Toolbox. This makes it possible to train such algorithms on large data sets in reasonable computational time. The toolbox includes several algorithms, as well as an API for adding your own algorithms.

In this installment of Java theory and practice learn how simpler nonblocking algorithms work. Nonblocking algorithms are concurrent algorithms that derive their thread safety not from locks, but from low-level atomic hardware primitives such as compare-and-swap. Nonblocking algorithms can be extremely difficult to design and implement, but they can offer better throughput and greater resistance to liveness problems such as deadlock and priority inversion.