Streaming data programs are an important class of applications, for which queueing network models are frequently available. While the design space can be large, decomposition techniques can be effec-tive at design space reduction. We introduce here two decomposi-tion techniques called convex decomposition and unchaining and present implications for a biosequence search application
Exact solutions are unattainable for important problems. The calculations are limited by the memory ...
Abstract. The bandwidth minimization problem has a long history and a number of practical applicatio...
The bandwidth minimization problem has a long history and a num-ber of practical applications. In th...
Abstract—Data-streaming applications are frequently pipelined and deployed on hybrid systems to meet...
Many embedded and scientific applications are frequently pipelined asynchronously and deployed on ar...
Many embedded and scientific applications are frequently pipelined asynchronously and deployed on ar...
Abstract: Many embedded and scientific applications are frequently pipelined asynchronously and depl...
Many embedded and scientific applications are frequently pipelined asynchronously and deployed on ar...
High-performance streaming applications are typically pipelined and deployed on architecturally dive...
Abstract—In this paper, we study the problem of minimiz-ing the number of processors required for sc...
© 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group. Graph partitioning is an imp...
The trade-off between throughput and memory constraints is a common design problem in embedded syste...
This electronic version was submitted by the student author. The certified thesis is available in th...
The trade-off between throughput and memory constraints is a common design problem in embedded syste...
In many applications, the data is of rich structure that can be represented by a hypergraph, where t...
Exact solutions are unattainable for important problems. The calculations are limited by the memory ...
Abstract. The bandwidth minimization problem has a long history and a number of practical applicatio...
The bandwidth minimization problem has a long history and a num-ber of practical applications. In th...
Abstract—Data-streaming applications are frequently pipelined and deployed on hybrid systems to meet...
Many embedded and scientific applications are frequently pipelined asynchronously and deployed on ar...
Many embedded and scientific applications are frequently pipelined asynchronously and deployed on ar...
Abstract: Many embedded and scientific applications are frequently pipelined asynchronously and depl...
Many embedded and scientific applications are frequently pipelined asynchronously and deployed on ar...
High-performance streaming applications are typically pipelined and deployed on architecturally dive...
Abstract—In this paper, we study the problem of minimiz-ing the number of processors required for sc...
© 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group. Graph partitioning is an imp...
The trade-off between throughput and memory constraints is a common design problem in embedded syste...
This electronic version was submitted by the student author. The certified thesis is available in th...
The trade-off between throughput and memory constraints is a common design problem in embedded syste...
In many applications, the data is of rich structure that can be represented by a hypergraph, where t...
Exact solutions are unattainable for important problems. The calculations are limited by the memory ...
Abstract. The bandwidth minimization problem has a long history and a number of practical applicatio...
The bandwidth minimization problem has a long history and a num-ber of practical applications. In th...