In distributed heterogeneous systems the partitioning of application software to be executed in a distributed fashion is a challenge by itself. The task of code partitioning for distributed processing involves partitioning the code into clusters and mapping those code clusters to the individual processing elements interconnected through a high speed network. Code generation is the process of converting the code partitions into individually executable code clusters and satisfying the code dependencies by adding communication primitives to send and receive data between dependent code clusters. In this work, we describe a generalized framework for automatic code partitioning and code generation for distributed heterogeneous systems. A model fo...
In order to achieve viable parallel processing three basic criteria must be met: (1) the system must...
Distributed-memory multicomputers, such as the Intel iPSC/860, the Intel Paragon, the IBM SP-1 /SP-2...
Many problems currently require more processor throughput than can be achieved with current single-p...
In distributed heterogeneous systems the partitioning of application software to be executed in a di...
In a large class of distributed embedded systems, most of the code generation models in use today ta...
In the heterogeneous computing execution model, one or more general-purpose processors are accelerat...
When reengineering a monolithic application to be a distributed one, programmers always have to deci...
Heterogeneity, decoupling, and dynamics in distributed, component-based applications indicate the ne...
Automatic partitioning, scheduling and code generation are of major importance in the development of...
Thesis (Ph. D.)--University of Rochester. Dept. of Computer Science, 1998. Simultaneously published ...
International audienceWith the advent of clustered systems, more and more parallel computing is requ...
With the variety of computer architectures available today, it often is difficult to determine which...
Proceedings of the First PhD Symposium on Sustainable Ultrascale Computing Systems (NESUS PhD 2016) ...
Distributed computing systems is a well-known instrument to rise system performance and avoid bottle...
We describe distributed code generation directed by data distribution : both compiling techniques an...
In order to achieve viable parallel processing three basic criteria must be met: (1) the system must...
Distributed-memory multicomputers, such as the Intel iPSC/860, the Intel Paragon, the IBM SP-1 /SP-2...
Many problems currently require more processor throughput than can be achieved with current single-p...
In distributed heterogeneous systems the partitioning of application software to be executed in a di...
In a large class of distributed embedded systems, most of the code generation models in use today ta...
In the heterogeneous computing execution model, one or more general-purpose processors are accelerat...
When reengineering a monolithic application to be a distributed one, programmers always have to deci...
Heterogeneity, decoupling, and dynamics in distributed, component-based applications indicate the ne...
Automatic partitioning, scheduling and code generation are of major importance in the development of...
Thesis (Ph. D.)--University of Rochester. Dept. of Computer Science, 1998. Simultaneously published ...
International audienceWith the advent of clustered systems, more and more parallel computing is requ...
With the variety of computer architectures available today, it often is difficult to determine which...
Proceedings of the First PhD Symposium on Sustainable Ultrascale Computing Systems (NESUS PhD 2016) ...
Distributed computing systems is a well-known instrument to rise system performance and avoid bottle...
We describe distributed code generation directed by data distribution : both compiling techniques an...
In order to achieve viable parallel processing three basic criteria must be met: (1) the system must...
Distributed-memory multicomputers, such as the Intel iPSC/860, the Intel Paragon, the IBM SP-1 /SP-2...
Many problems currently require more processor throughput than can be achieved with current single-p...