Software parallelization is required to contend with the increasing scale and complexity of high-energy physics experiments. The authors have developed a programming model, Communication Capability (CoCa) which allows this parallelization at several levels of granularity and reduces software complexity
The high-performance requirements needed to implement the most advanced functionalities of current a...
none1noIn order to efficiently collect and store experimental data, the High Energy Physics experime...
Research in high energy physics (HEP) requires huge amounts of computing and storage, putting strong...
Software parallelization is required to contend with the increasing scale and complexity of high-ene...
A programming model for software parallelization, called CoCa, is introduced that copes with problem...
Parallel programming allows the speed of computations to be increased by using multiple processors o...
Ever since computers were first used for scientific and numerical work, there has existed an "arms r...
Today's world of scientific software for High Energy Physics (HEP) is powered by x86 code, while the...
Software parallelization allows an efficient use of available computing power to in- crease the perf...
We are developing new software component technology for high-performance parallel scientific computi...
The paper reviews the evolution of the software in High Energy Physics from the time of expensive ma...
This thesis presents methods to run scientific code safely on a global-scale desktop grid. Current a...
This paper describes the present and expected future development of distributed memory parallel comp...
Parallel programming is a hot topic among scientists and engineers. The number of parallel machines ...
The high-performance requirements needed to implement the most advanced functionalities of current a...
The high-performance requirements needed to implement the most advanced functionalities of current a...
none1noIn order to efficiently collect and store experimental data, the High Energy Physics experime...
Research in high energy physics (HEP) requires huge amounts of computing and storage, putting strong...
Software parallelization is required to contend with the increasing scale and complexity of high-ene...
A programming model for software parallelization, called CoCa, is introduced that copes with problem...
Parallel programming allows the speed of computations to be increased by using multiple processors o...
Ever since computers were first used for scientific and numerical work, there has existed an "arms r...
Today's world of scientific software for High Energy Physics (HEP) is powered by x86 code, while the...
Software parallelization allows an efficient use of available computing power to in- crease the perf...
We are developing new software component technology for high-performance parallel scientific computi...
The paper reviews the evolution of the software in High Energy Physics from the time of expensive ma...
This thesis presents methods to run scientific code safely on a global-scale desktop grid. Current a...
This paper describes the present and expected future development of distributed memory parallel comp...
Parallel programming is a hot topic among scientists and engineers. The number of parallel machines ...
The high-performance requirements needed to implement the most advanced functionalities of current a...
The high-performance requirements needed to implement the most advanced functionalities of current a...
none1noIn order to efficiently collect and store experimental data, the High Energy Physics experime...
Research in high energy physics (HEP) requires huge amounts of computing and storage, putting strong...
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