Parallelizing existing sequential programs to run efficiently on multicores is hard. The Java 5
package java. util. concurrent (juc) supports writing concurrent programs: much of the …

Divide-and-conquer programs are easily parallelized by letting the programmer annotate
potential parallelism in the form of spawn and sync constructs. To achieve efficient program …

Scientific software frequently demands high performance in order to execute complex
models in acceptable time. A major means of obtaining high performance is via parallel …

Grid programming environments need to be both portable and efficient to exploit the
computational power of dynamically available resources. In previous work, we have …

This paper describes a portable, machine learning-based approach to Java optimisation.
This approach uses an instance-based learning scheme to select good transformations …

Satin is a system for running divide and conquer programs on distributed memory systems
(and ultimately on wide-area metacomput-ing systems). Satin extends Java with three …

Although there has been some experimentation with Java as a language for numerically
intensive computing, there is a perception by many that the language is unsuited for such …

The performance of workloads running on cloud platforms varies significantly depending on
the cloud platform configurations. We evaluated the performance variations using two open …

Although there has been some experimentation with Java as a language for numerically
intensive computing, there is a perception by many that the language is not suited for such …

To ease the task of programming parallel and distributed applications, the Do! project aims
at the automatic generation of distributed code from multi-threaded Java programs. We …