Pointer analysis has been an active research field in recent years. Combining pointer analysis and dependence analysis can identify parallelism in programs with pointers or dynamic pointer-linked data structures. After parallelism is identified, programs can be parallelized and then executed on parallel multiprocessor systems to achieve good performance. The compiler analysis techniques that ha...

We present relativistic programming, a concurrent programming model based on shared addressing, which supports efficient, scalable operation on either uniform shared-memory or distributed sharedmemory systems. Relativistic programming provides a strong causal ordering property, allowing a series of read operations to appear as an atomic transaction that occurs entirely between two ordered write...

Belief networks, also called Bayesian networks, are a form of artificial intelligence that incorporate uncertainty through probability theory and conditional dependence. Variables are graphically represented by nodes whereas conditional dependence relationships between the variables are represented by arrows. A belief network is developed by first defining the variables in the domain and the re...

abstract one of the problems in design of irrigation structures is sedimentation control in the inlet to the irrigation networks. water quality for agriculture requires that the sediments be controlled and reduced to the permissible limit at their entrance point to the turnouts and irrigation networks. this is possible by constructing a sedimentation basin. the bigger the basin, the best the re...

This work presents a generic programming interface, or API (Application Programming Interface), for spatial operations in geographical database developed in the TerraLib environment a base library for construction of geographical applications with integrated architecture. This API provides operations on geographical data stored in relational DBMS (RDBMS) and object-relational DBMS (ORDBMS). In ...

Mass hauling operations play central roles in construction projects. They typically use many haulers that consume large amounts of energy and emit significant quantities of CO2. However, practical methods for estimating the energy consumption and CO2 emissions of such operations during the project planning stage are scarce, while most of the previous methods focus on construction stage or after...

Most applications manipulate structured data. Modern languages and platforms provide collection frameworks with basic data structures like lists, hashtables and trees. These data structures come with a range of predefined operations which include sorting, filtering or finding elements. Such bulk operations usually traverse the entire collection and process the elements sequentially. Their imple...

Mass hauling operations play central roles in construction projects. They typically use many haulers that consume large amounts of energy and emit significant quantities of CO2. However, practical methods for estimating the energy consumption and CO2 emissions of such operations during the project planning stage are scarce, while most of the previous methods focus on construction stage or after...

We present relativistic programming, a concurrent programming model based on shared addressing, which supports efficient, scalable operation on either uniform shared-memory or distributed sharedmemory systems. Relativistic programming provides a strong causal ordering property, allowing a series of read operations to appear as an atomic transaction that occurs entirely between two ordered write...

Grail is a package for symbolic manipulation of nite-state automata and regular expressions. It provides most standard operations on automata and expressions, including minimization, subset construction, conversion between automata and regular expressions , and language enumeration and testing. Grail's objects are parameterizable; users can provide their own classes to deene the input alphabet ...