MPJava: High-Performance Message Passing in Java Using Java.nio

TL;DR: It is found that language features can make parallel programs easier to write, but cannot hide the underlying communication costs for the target parallel architecture.

TL;DR: This paper analyzes the current state of Java for HPC, both for shared and distributed memory programming, presents related research projects, and evaluates the performance of current Java HPC solutions and research developments on a multi-core cluster with a high-speed network, InfiniBand, and a 24-core shared memory machine.

TL;DR: NPB-MPJ is presented, the first extensive implementation of the NAS Parallel Benchmarks (NPB), the standard parallel benchmark suite, for Message-Passing in Java (MPJ) libraries, whose comparative analysis of current Java and native parallel solutions confirms that MPJ is an alternative for parallel programming multi-core systems.

TL;DR: It's found the network performance of current version of Sun Java run-time could be parallel with C over giga-bit Ethernet, but for higher performance InfiniBand network, the current communication stacks, mainly the TCP/IP emulation layers, showed rather poor performances.

TL;DR: The original NAS Parallel Benchmarks consisted of eight individual bench- mark problems, each of which focused on some aspect of scientific computing, although most of these benchmarks have much broader relevance, since in a much larger sense they are typical of many real-world computing applications.

TL;DR: DOGMA supports parallel programming in both a traditional message-passing form and a novel object-oriented approach, and provides a unified environment for developing high-performance supercomputing applications on heterogeneous systems.

TL;DR: The Group Method Invocation model (GMI) allows methods to be invoked either on a single object or on a group of objects, the latter possibly with personalized parameters, providing an efficient group communication mechanism for parallel programming.

TL;DR: JMPI is described, a reference implementation of MPI developed at the Architecture and Real-Time Laboratory at the University of Massachusetts Amherst that explores using Java's Remote Method Invocation, Object Serialization and Introspection technologies for message passing.