Here, we provide evidence of Java’s usefulness for parallel computing by describing efficient implementation techniques, showing the combination of powerful compilers and efficient runtime systems ...

For distributed applications, Java provides sockets and the RMI mechanism. For the parallel computing world, the explicit use of sockets is often too low-level, while RMI is oriented too much toward ...

The use of Java for parallel programming on clusters relies on the need of efficient communication middleware and high-speed cluster interconnect support. Nevertheless, currently there are no ...

Sumatra will repurpose Java 8’s multi-core APIs called Stream or Lambda to enable both CPU or GPU computing, but it will need an extra layer of code for parallel execution.

The use of Java for parallel programming on clusters relies on the need of efficient communication middleware and high-speed cluster interconnect support. Nevertheless, currently there are no ...