Although efficient support for data-parallel applications is relatively well established, it remains open how well to support irregular and dynamic problems where there are no regular data structures and communication patterns. Tree search is central to solving a variety of problems in artificial intelligence and an important subset of the irregular applications where tasks are frequently created and terminated. In this paper, we introduce the design of a multithreaded distributed runtime system. Efficiency and ease of parallel programming are the two primary goals. In our system, multithreading is used to specify the asynchronous behavior in parallel game tree search, and dynamic load balancing is employed for efficient performance
The fffi-algorithm or the Negascout algorithm are known to search game trees efficiently. Many resea...
grantor: University of TorontoThe alpha-beta algorithm is a well known method for the sequ...
The performance of game playing programs depends heavily on the strength of the search algorithm us...
In parallel tree search environments, it is likely that some nodes are heavily loaded while others a...
We present a new parallel game-tree search algorithm. Our approach classifies a processor�s availab...
A parallel game tree search algorithm is presented in this thesis to verify the possibility of effic...
Most parallel game-tree search approaches use synchronous methods, where the work is concentrated wi...
This paper presents a parallel implementation of the Iterative-Deepening A* algorithm on a parallel ...
Using two sample applications, we demonstrate the effectiveness of our portable and reusable library...
This paper proposes a fast AND/OR tree search algo-rithm using a multiple-paths concurrent search me...
Multiple threads can be used not only as a mechanism for tolerating unpredictable communication late...
AbstractThis paper describes nagging, a technique for parallelizing search in a heterogeneous distri...
In this paper, we present a distributed computing framework for problems characterized by a highly i...
Abstract. Search in constraint programming is a time consuming task. Search can be speeded up by exp...
This paper describes HyPS, a hybrid parallel window / distributed tree search algorithm. Using this ...
The fffi-algorithm or the Negascout algorithm are known to search game trees efficiently. Many resea...
grantor: University of TorontoThe alpha-beta algorithm is a well known method for the sequ...
The performance of game playing programs depends heavily on the strength of the search algorithm us...
In parallel tree search environments, it is likely that some nodes are heavily loaded while others a...
We present a new parallel game-tree search algorithm. Our approach classifies a processor�s availab...
A parallel game tree search algorithm is presented in this thesis to verify the possibility of effic...
Most parallel game-tree search approaches use synchronous methods, where the work is concentrated wi...
This paper presents a parallel implementation of the Iterative-Deepening A* algorithm on a parallel ...
Using two sample applications, we demonstrate the effectiveness of our portable and reusable library...
This paper proposes a fast AND/OR tree search algo-rithm using a multiple-paths concurrent search me...
Multiple threads can be used not only as a mechanism for tolerating unpredictable communication late...
AbstractThis paper describes nagging, a technique for parallelizing search in a heterogeneous distri...
In this paper, we present a distributed computing framework for problems characterized by a highly i...
Abstract. Search in constraint programming is a time consuming task. Search can be speeded up by exp...
This paper describes HyPS, a hybrid parallel window / distributed tree search algorithm. Using this ...
The fffi-algorithm or the Negascout algorithm are known to search game trees efficiently. Many resea...
grantor: University of TorontoThe alpha-beta algorithm is a well known method for the sequ...
The performance of game playing programs depends heavily on the strength of the search algorithm us...