Parallelizing existing sequential programs to run efficiently on multicores is hard. The Java 5 packagejava.util.concurrent (j.u.c.) supports writing concurrent programs: much of the complexity of writing threads-safe and scalable programs is hidden in the library. To use this package, programmers still need to reengineer existing code. This is tedious because it requires changing many lines of code, is error-prone because programmers can use the wrong APIs, and is omission-prone because programmers can miss opportunities to use the enhanced APIs. This paper presents our tool, CONCURRENCER, which enables programmers to refactor sequential code into parallel code that uses j.u.c. concurrent utilities. CONCURRENCER does not require any prog...
AbstractNowadays multi-core processors can be found everywhere. It is well known that one way of imp...
It is often difficult to analyse why a program executes more slowly than intended. This is particula...
Java provides support for concurrent and parallel programming through threads, monitors and its sock...
Parallelizing existing sequential programs to run ef-ficiently on multicores is hard. The Java 5 pac...
Parallelizing existing sequential programs to run efficiently on multicores is hard. The Java 5 pack...
For several decades, programmers have relied onMooreâ s Law to improve the performance of their sof...
ABSTRACT In the multi-core era, programmers need to resort to parallelism if they want to improve pr...
In multicore era, programmers exploit concurrent programming to gain performance and responsiveness ...
In the multicore era, a major programming task will be to make programs more parallel. This is ted...
In the multicore era, sequential programs need to be refactored for parallelism. The next version of...
In multicore era, programmers exploit concurrent programming to gain performance and responsiveness ...
AbstractEvolving and refactoring concurrent Java software can be error-prone, resulting in race cond...
AbstractEvolving and refactoring concurrent Java software can be error-prone, resulting in race cond...
The rise in the number of cores in a processor has resulted in computer programmers needing to write...
The rise in the number of cores in a processor has resulted in computer programmers needing to write...
AbstractNowadays multi-core processors can be found everywhere. It is well known that one way of imp...
It is often difficult to analyse why a program executes more slowly than intended. This is particula...
Java provides support for concurrent and parallel programming through threads, monitors and its sock...
Parallelizing existing sequential programs to run ef-ficiently on multicores is hard. The Java 5 pac...
Parallelizing existing sequential programs to run efficiently on multicores is hard. The Java 5 pack...
For several decades, programmers have relied onMooreâ s Law to improve the performance of their sof...
ABSTRACT In the multi-core era, programmers need to resort to parallelism if they want to improve pr...
In multicore era, programmers exploit concurrent programming to gain performance and responsiveness ...
In the multicore era, a major programming task will be to make programs more parallel. This is ted...
In the multicore era, sequential programs need to be refactored for parallelism. The next version of...
In multicore era, programmers exploit concurrent programming to gain performance and responsiveness ...
AbstractEvolving and refactoring concurrent Java software can be error-prone, resulting in race cond...
AbstractEvolving and refactoring concurrent Java software can be error-prone, resulting in race cond...
The rise in the number of cores in a processor has resulted in computer programmers needing to write...
The rise in the number of cores in a processor has resulted in computer programmers needing to write...
AbstractNowadays multi-core processors can be found everywhere. It is well known that one way of imp...
It is often difficult to analyse why a program executes more slowly than intended. This is particula...
Java provides support for concurrent and parallel programming through threads, monitors and its sock...