Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Although message passing using MPI is the dominant model for parallel programming today, the significant effort required to develop high-performance MPI applications has prompted the development of several parallel programming models that are more convenient. Programming models such as Co-Array Fortran, Global Arrays, Titanium, and UPC provide a more convenient global view of the data, but face significant challenges in delivering high performance over a range of applications. It is particularly challenging to achieve high performance using global-address-space languages for unstructured applications with irregular data structures. ,  describe a global-address-space parallel programming framework with decoupled task and data abstractions. The framework centers around the use of task pools, where tasks specify operands in a distributed, globally addressable pool of data chunks. The data chunks can be addressed in a logical multidimensional "tuple" space, and are distributed among the nodes of the system. Locality-aware load balancing of tasks in the task pool is achieved through judicious mapping via hyper-graph partitioning, as ll as dynamic task/data migration. The framework implements a transparent interface for out-of-core data, so that explicit orchestration of movement of data beten disks and memory is not required of the programmer. The use of the framework for implementation of parallel block-sparse tensor computations in the context of a quantum chemistry application is illustrated.
['Sriram Krishnamoorthy', 'Ümit V. Çatalyürek', 'Jarek Nieplocha', 'Atanas Rountev', 'P. Sadayappan']
I am writing a research paper on a idea An extensible global address space framework with decoupled task and data abstractions
[{"from": "human", "value": "I am writing a research paper on a idea An extensible global address space framework with decoupled task and data abstractions"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Although message passing using MPI is the dominant model for parallel programming today, the significant effort required to develop high-performance MPI applications has prompted the development of several parallel programming models that are more convenient. Programming models such as Co-Array Fortran, Global Arrays, Titanium, and UPC provide a more convenient global view of the data, but face significant challenges in delivering high performance over a range of applications. It is particularly challenging to achieve high performance using global-address-space languages for unstructured applications with irregular data structures. ,  describe a global-address-space parallel programming framework with decoupled task and data abstractions. The framework centers around the use of task pools, where tasks specify operands in a distributed, globally addressable pool of data chunks. The data chunks can be addressed in a logical multidimensional \"tuple\" space, and are distributed among the nodes of the system. Locality-aware load balancing of tasks in the task pool is achieved through judicious mapping via hyper-graph partitioning, as ll as dynamic task/data migration. The framework implements a transparent interface for out-of-core data, so that explicit orchestration of movement of data beten disks and memory is not required of the programmer. The use of the framework for implementation of parallel block-sparse tensor computations in the context of a quantum chemistry application is illustrated."}]