An improved method for solving the well-known conflict-free scheduling problem for the locally sequential, globally parallel (LSGP) case of systolic array synthesis is proposed. A loop nest and a linear mapping to virtual processors is given, as is the clustering of rectangular arrangements of virtual processors into physical processors. A solution to the scheduling problem is a linear map of iteration indices to time that satisfies linear ine quality constraints determined by data dependences. The schedule is conflict-free if no two iterations are scheduled simultaneously on the same processor. Say such a schedule juggles. It is tight if it juggles and, in the steady state, all processors are busy every cycle. Darte had provided; closed fo...
We present a simple method for developing parallel and systolic programs from data dependence. We de...
Topic classification: Algorithms and data structures We study scheduling problems in battery-operate...
This chapter presents main results for partitioned and global scheduling of multiprocessor systems. ...
An improved method for solving the well-known conflict-free scheduling problem for the locally seque...
(eng) We describe a new, practical, constructive method for solving the well-known conflict-free sch...
Systematic methods have been proposed for the design of (semi-) systolic arrays. One approach consis...
Minimizing the amount of time and number of processors needed to perform an application reduces the ...
Three related problems, among others, are faced when trying to execute an algorithm on a parallel ma...
Extending the projection method for the synthesis of systolic arrays, we present a procedure for the...
We deal with the problem of partitioning and mapping uniform loop nests onto physical processor arra...
(eng) We deal with the problem of partitioning and mapping uniform loop nests onto physical processo...
In this paper we study the synthesis of space-time optimal systolic arrays for the Cholesky Factoriz...
Abstract — This paper introduces methods for extending the classical systolic synthesis methodology ...
Abstract: Many compute-bound software kernels have seen order-of-magnitude speedups on special-purpo...
This thesis explores a fundamental issue in large-scale parallel computing: how to schedule tasks on...
We present a simple method for developing parallel and systolic programs from data dependence. We de...
Topic classification: Algorithms and data structures We study scheduling problems in battery-operate...
This chapter presents main results for partitioned and global scheduling of multiprocessor systems. ...
An improved method for solving the well-known conflict-free scheduling problem for the locally seque...
(eng) We describe a new, practical, constructive method for solving the well-known conflict-free sch...
Systematic methods have been proposed for the design of (semi-) systolic arrays. One approach consis...
Minimizing the amount of time and number of processors needed to perform an application reduces the ...
Three related problems, among others, are faced when trying to execute an algorithm on a parallel ma...
Extending the projection method for the synthesis of systolic arrays, we present a procedure for the...
We deal with the problem of partitioning and mapping uniform loop nests onto physical processor arra...
(eng) We deal with the problem of partitioning and mapping uniform loop nests onto physical processo...
In this paper we study the synthesis of space-time optimal systolic arrays for the Cholesky Factoriz...
Abstract — This paper introduces methods for extending the classical systolic synthesis methodology ...
Abstract: Many compute-bound software kernels have seen order-of-magnitude speedups on special-purpo...
This thesis explores a fundamental issue in large-scale parallel computing: how to schedule tasks on...
We present a simple method for developing parallel and systolic programs from data dependence. We de...
Topic classification: Algorithms and data structures We study scheduling problems in battery-operate...
This chapter presents main results for partitioned and global scheduling of multiprocessor systems. ...