Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Introduces queuing network models for the performance analysis of SPMD (single-program, multiple-data) applications executed on general-purpose parallel architectures such as MIMD (multiple-input, multiple data) and clusters of workstations. The models are based on the pattern of computation, communication and I/O operations of typical parallel applications. Analysis of the models leads to the definition of speedup surfaces which capture the relative influence of processors and I/O parallelism and show the effects of different hardware and software components on the performance. Since the parameters of the models correspond to measurable program and hardware characteristics, the models can be used to anticipate the performance behavior of a parallel application as a function of the target architecture (i.e. the number of processors, number of disks, I/O topology, etc.).
['Paolo Cremonesi', 'Claudio Gennaro']
I am writing a research paper on a idea Integrated performance models for SPMD applications and MIMD architectures
[{"from": "human", "value": "I am writing a research paper on a idea Integrated performance models for SPMD applications and MIMD architectures"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Introduces queuing network models for the performance analysis of SPMD (single-program, multiple-data) applications executed on general-purpose parallel architectures such as MIMD (multiple-input, multiple data) and clusters of workstations. The models are based on the pattern of computation, communication and I/O operations of typical parallel applications. Analysis of the models leads to the definition of speedup surfaces which capture the relative influence of processors and I/O parallelism and show the effects of different hardware and software components on the performance. Since the parameters of the models correspond to measurable program and hardware characteristics, the models can be used to anticipate the performance behavior of a parallel application as a function of the target architecture (i.e. the number of processors, number of disks, I/O topology, etc.)."}]