Jython is an open source implementation of the high-level, dynamic, object-oriented scripting language Python seamlessly integrated with the Java platform. The predecessor to Jython, JPython, is certified as 100% Pure Java. Jython is freely available for both commercial and noncommercial use and is distributed with source code. Jython is...

In 2007, Microsoft released the fi rst Community Technology Preview (CTP) of Parallel Extensions for the .NET Framework. The old .NET Framework multithreading programming model was too complex and heavyweight for the forthcoming multicore and manycore CPUs. I had been researching parallel programming, multiprocessor, and multicore since 1997,...

Parallel programming truly redefines the programming model for multicore architecture, which has become commonplace. For this reason, parallel programming has been elevated to a core technology in the Microsoft .NET Framework 4. In this version of the .NET Framework, the Task Parallel Library (TPL) and the System.Threading.Tasks...

The confluence of cloud computing, parallelism and advanced machine intelligence approaches has created a world in which the optimum knowledge system will usually be architected from the combination of two or more knowledge-generating systems. There is a need, then, to provide a reusable, broadly-applicable set of design patterns to empower...

State transitions are used as a formal technique for the specification of virtual machines throughout and – in addition...

Managing Projects with GNU make, 3rd Edition provides guidelines on meeting the needs of large, modern projects. This edition focuses on the GNU version of make, which has deservedly become the industry standard. GNU's powerful extensions are explored in this book, including a number of interesting advanced topics such as portability,...

Beyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. This often demands that MATLAB codes run faster by leveraging the distributed parallelism of Graphics Processing Units (GPUs). While MATLAB successfully provides high-level functions as a simulation...

Why should a Java developer learn about functional programming (FP)? After all, hasn’t functional programming been safely hidden in academia for decades? Isn’t objectoriented programming (OOP) all we really need? This book explains why functional programming has become an important tool for the challenges of our time and how...