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Dataflow parallel programming language for clusters
PARUS is a data-flow parallel programming language that allows to build parallel programs for clusters and MPP multiprocessors. The data-flow graph is automatically converted to the C++/MPI source and linked with the libparus runtime library.
Also there are available tools for benchmarking cluster interconnect and visualize it.
jRate is a real-time Java compiler and runtime system (based on GNU GCJ) with support for much of the Real-Time Specification for Java (RTSJ), including threading constructs with real-time constraints, asynchronous event handling, and memory regions.
JNDirect is a library that supports JDirect-compatible native methods and method closures. JNIDirect automatically generates (at runtime) JNI native method glue for anything exported from a Mac OS X framework -- functions AND global variables.
Run applications fast and securely in a fully managed environment
Cloud Run is a fully-managed compute platform that lets you run your code in a container directly on top of scalable infrastructure.
Run frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
The Snake Skin Bean Breaker converts Python syntax into readable Java syntax. With a high potential of runtime or compile-time deviances, the resultant code is assumed to be broken.. Works well for porting Jython Swing prototypes.