Building ontologies for solving compute-intensive problems
نویسندگان
چکیده
منابع مشابه
Architecture for Compute - Intensive Applications
Con gurable computers have attracted considerable attention recently because they promise to deliver the performance of application-speci c hardware along with the exibility of general-purpose computers. Unfortunately, con gurable computing has had rather limited success to date. We believe that the FPGAs currently used to construct con gurable computers are too general to achieve good cost-per...
متن کاملSolving Problems with Overlapping Building Blocks
1Please contact the authors at [email protected] or at [email protected], for details omitted here. 6 ≤ k ≤ 9, and 0 ≤ θ ≤ (k − 1), the number of fitness evaluations required by SX to find the global optimum ranged from 0.5M to 1.9M; increasing the amount of overlap did not increase the computational effort required to find the global optimum The following table presents some results comparing S...
متن کاملCompute-Intensive Methods for Artificial Intelligence
In the 70’s and 80’s the success of knowledge-intensive approaches to problem solving eclipsed earlier work on compute-intensive weak methods. However, in recent years, compute-intensive methods have made a surprising comeback. One of the most prominent examples is the success of IBM’s Deep Blue in defeating Gary Kasparov in the 1997 ACM Challenge match. Deep Blue’s performance led Kasparov to ...
متن کاملAn efficient approach for solving layout problems
This paper offers an approach that could be useful for diverse types of layout problems or even area allocation problems. By this approach there is no need to large number of discrete variables and only by few continues variables large-scale layout problems could be solved in polynomial time. This is resulted from dividing area into discrete and continuous dimensions. Also defining decision var...
متن کاملBuilding Task-Ontologies for GeoVisualization
This short position paper proposes a task-ontological approach to geovisualization. Two recently identified challenges in geovisualization research justify such an endeavor, particularly for the webenabled domain: (1) the need for developing task-driven tools to facilitate problem solving and knowledge sharing amongst heterogeneous user communities, and (2) the lack of sound evaluation procedur...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2021
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/1715/1/012071