AbstractNowadays multi-core processors can be found everywhere. It is well known that one way of improving performance is by parallelization. In this paper we propose a parallelization strategy for Java using algebraic laws. We perform an experiment with two benchmarks and show that our strategy produces a gain similar to a specialized parallel version provided by the Java Grande Benchmark (JGB)
Threading and concurrency are crucial to building high-performance Java applications -- but they ha...
AbstractIn the past years, multi-core processors and clusters of multi-core processors have emerged ...
Method speculation of object-oriented programs attempts to exploit method-level parallelism (MLP) by...
AbstractNowadays multi-core processors can be found everywhere. It is well known that one way of imp...
Nowadays multi-core processors can be found everywhere. It is well-known that one way of improving p...
For several decades, programmers have relied onMooreâ s Law to improve the performance of their sof...
Parallelizing existing sequential programs to run efficiently on multicores is hard. The Java 5 pack...
AbstractThe exploitation of parallelism among traces, i.e. hot paths of execution in programs, is a ...
AbstractParallel programming is difficult due to the complexity of dealing with conventional lock-ba...
Abstract—Many existing sequential components, libraries, and applications will need to be re-enginee...
With the continual growth in number of cores on the Central Processing Unit (CPU), developers will n...
We survey the well-known algebraic laws of sequential programming, and extend them with some less fa...
The rise in the number of cores in a processor has resulted in computer programmers needing to write...
Java provides support for parallel computing through a model that is built into the language itself....
AbstractEvolving and refactoring concurrent Java software can be error-prone, resulting in race cond...
Threading and concurrency are crucial to building high-performance Java applications -- but they ha...
AbstractIn the past years, multi-core processors and clusters of multi-core processors have emerged ...
Method speculation of object-oriented programs attempts to exploit method-level parallelism (MLP) by...
AbstractNowadays multi-core processors can be found everywhere. It is well known that one way of imp...
Nowadays multi-core processors can be found everywhere. It is well-known that one way of improving p...
For several decades, programmers have relied onMooreâ s Law to improve the performance of their sof...
Parallelizing existing sequential programs to run efficiently on multicores is hard. The Java 5 pack...
AbstractThe exploitation of parallelism among traces, i.e. hot paths of execution in programs, is a ...
AbstractParallel programming is difficult due to the complexity of dealing with conventional lock-ba...
Abstract—Many existing sequential components, libraries, and applications will need to be re-enginee...
With the continual growth in number of cores on the Central Processing Unit (CPU), developers will n...
We survey the well-known algebraic laws of sequential programming, and extend them with some less fa...
The rise in the number of cores in a processor has resulted in computer programmers needing to write...
Java provides support for parallel computing through a model that is built into the language itself....
AbstractEvolving and refactoring concurrent Java software can be error-prone, resulting in race cond...
Threading and concurrency are crucial to building high-performance Java applications -- but they ha...
AbstractIn the past years, multi-core processors and clusters of multi-core processors have emerged ...
Method speculation of object-oriented programs attempts to exploit method-level parallelism (MLP) by...