[[abstract]]An algorithm for pipelining loop execution in the presence of loop carried dependences is presented. Both the initiation interval and the turnaround time of a schedule are optimized. Given constraints on the number of functional units and buses, an initiation interval is determined, and then the operations are incrementally partitioned into blocks to fit into the execution windows. A refinement procedure is incorporated to improve the turnaround time. This approach differs from others in that the scheduled operations are iteratively moved up and down to accommodate the ready, yet unscheduled, operations.[[fileno]]2030207030030[[department]]資訊工程學
We present a new approach to the loop scheduling problem with limited resources, known as software p...
Although there are widely known solutions for dataflow-dominated resource constrained high-level syn...
Software pipelining is one of the most important loop scheduling methods used by parallelizing compi...
[[abstract]]We address the problem of given a loop behavior, a target initiation interval and resour...
We consider the resource-constrained scheduling of loops with inter-iteration dependencies. A loop i...
Software pipelining is a loop scheduling technique that extracts parallelism from loops by overlappi...
This paper addresses the problem of Time-Constrained Loop Pipelining, i.e. given a fixed throughput,...
[[abstract]]We propose a transformation-based scheduling algorithm for the problem - given a loop co...
[[abstract]]Pipelining is an effective method to optimize the execution of a loop, especially for di...
This paper presents a mathematical model for the loop pipelining problem that considers several para...
[[abstract]]We propose a transformation-based scheduling algorithm for the problem - given a loop co...
Using parallel processing systems to execute scientific applications is one of the most common solut...
Software Pipelining is a loop scheduling technique that extracts parallelism from loops by overlappi...
This dissertation is concerned with software pipelining in the presence of resource constraints--bot...
Traditionally, software pipelining is applied either to the innermost loop of a given loop nest or f...
We present a new approach to the loop scheduling problem with limited resources, known as software p...
Although there are widely known solutions for dataflow-dominated resource constrained high-level syn...
Software pipelining is one of the most important loop scheduling methods used by parallelizing compi...
[[abstract]]We address the problem of given a loop behavior, a target initiation interval and resour...
We consider the resource-constrained scheduling of loops with inter-iteration dependencies. A loop i...
Software pipelining is a loop scheduling technique that extracts parallelism from loops by overlappi...
This paper addresses the problem of Time-Constrained Loop Pipelining, i.e. given a fixed throughput,...
[[abstract]]We propose a transformation-based scheduling algorithm for the problem - given a loop co...
[[abstract]]Pipelining is an effective method to optimize the execution of a loop, especially for di...
This paper presents a mathematical model for the loop pipelining problem that considers several para...
[[abstract]]We propose a transformation-based scheduling algorithm for the problem - given a loop co...
Using parallel processing systems to execute scientific applications is one of the most common solut...
Software Pipelining is a loop scheduling technique that extracts parallelism from loops by overlappi...
This dissertation is concerned with software pipelining in the presence of resource constraints--bot...
Traditionally, software pipelining is applied either to the innermost loop of a given loop nest or f...
We present a new approach to the loop scheduling problem with limited resources, known as software p...
Although there are widely known solutions for dataflow-dominated resource constrained high-level syn...
Software pipelining is one of the most important loop scheduling methods used by parallelizing compi...