This chapter describes an approach for increasing the scalability of applications by exploiting inherent concurrency in order to parallelize and distribute the code. We thereby focus specifically on concurrency in the sense of reduced dependencies between logical parts of an application. Concurrency forms a crucial part in any par- allelization approach, as the degree of dependencies across potential threads defines the delay due to messaging and synchronization overhead. For example, loop unroll- ments show best performance improvement if they are highly concurrent and thus vectorizable
Parallel applications can speed up their execution by accessing resources hosted by multiple autonom...
Formal methods offer a way to deal with the complexity of information systems. They are adapted to a...
The recent development of multi-core computer architectures has largely affected the creation of eve...
This chapter describes an approach for increasing the scalability of applications by exploiting inh...
International audienceA parallel program needs to manage the trade-off between the time spent in syn...
The inevitable transition to parallel programming can be facilitated by appropriate tools, including...
A concurrent system is a collection of processors that communicate by reading and writing from a sha...
International audienceParallel programs need to manage the time trade-off between synchronization an...
Distributed Reactive Programming is a paradigm for implementing distributed interactive applications...
There exists several divides between implicit and explicit paradigms in concurrent programming model...
Distributed applications may use sophisticated runtime adaptation strategies to meet their performan...
Adapters are used to establish proper interaction betweensystems that have been developed independen...
Efficiency of software application is one of the important metrics that are used to measure the qual...
When executing highly demanding parallel/distributed applications on grids or non-dedicated parallel...
A major problem in todays Internet servers is that they suffer from extreme peak loads. Traditional ...
Parallel applications can speed up their execution by accessing resources hosted by multiple autonom...
Formal methods offer a way to deal with the complexity of information systems. They are adapted to a...
The recent development of multi-core computer architectures has largely affected the creation of eve...
This chapter describes an approach for increasing the scalability of applications by exploiting inh...
International audienceA parallel program needs to manage the trade-off between the time spent in syn...
The inevitable transition to parallel programming can be facilitated by appropriate tools, including...
A concurrent system is a collection of processors that communicate by reading and writing from a sha...
International audienceParallel programs need to manage the time trade-off between synchronization an...
Distributed Reactive Programming is a paradigm for implementing distributed interactive applications...
There exists several divides between implicit and explicit paradigms in concurrent programming model...
Distributed applications may use sophisticated runtime adaptation strategies to meet their performan...
Adapters are used to establish proper interaction betweensystems that have been developed independen...
Efficiency of software application is one of the important metrics that are used to measure the qual...
When executing highly demanding parallel/distributed applications on grids or non-dedicated parallel...
A major problem in todays Internet servers is that they suffer from extreme peak loads. Traditional ...
Parallel applications can speed up their execution by accessing resources hosted by multiple autonom...
Formal methods offer a way to deal with the complexity of information systems. They are adapted to a...
The recent development of multi-core computer architectures has largely affected the creation of eve...