Modern chip-multiprocessors pack an increasing amount of computational cores with each generation. Along with new computational power comes a problem of managing a large pool of active threads. Traditional debuggers often deal with concurrency style multi-threading with emphasis on a single thread. The problem of thread management when debugging parallel programs is analyzed and solutions are suggested. A related debugging framework for the massively multi-threaded, synchronous REPLICA architecture is proposed
There are two main policies for scheduling thread-based concurrent programs: preemptive scheduling a...
Debugging MIMD programs is often a delicate job. As a matter of fact, they can have different behavi...
Petascale computers and computing systems have the potential to solve large-scale, data-intensive pr...
Modern chip-multiprocessors pack an increasing amount of computational cores with each generation. A...
Abstract. In order to address the diversity of existing parallel programming models, it is important...
Contemporary parallel debuggers allow users to control more than one processing thread while support...
Debugging is a fundamental part of software development, and one of the largest in terms of time spe...
This paper describes the preliminary results of a project investigating approaches to dynamic debugg...
Rapporteurs Van Campenhout, Jan; Lecussan, Bernard; Mossière, Jacques Examinateurs Olive, Vincent; P...
Clusters of shared-memory symmetric multiprocessors are increasingly used for high performance...
Multicore is here to stay. To keep up with the hardware innovation, software developers mustmove fro...
178 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2010.In this thesis, we explore a ...
The problems of debugging parallel programs have been known for quite some time. However, the litera...
This paper discusses a new debugging strategy for parallel programs, called parallel relative debugg...
Debugging is generally considered to be difficult. The increased complexity and non determinism of p...
There are two main policies for scheduling thread-based concurrent programs: preemptive scheduling a...
Debugging MIMD programs is often a delicate job. As a matter of fact, they can have different behavi...
Petascale computers and computing systems have the potential to solve large-scale, data-intensive pr...
Modern chip-multiprocessors pack an increasing amount of computational cores with each generation. A...
Abstract. In order to address the diversity of existing parallel programming models, it is important...
Contemporary parallel debuggers allow users to control more than one processing thread while support...
Debugging is a fundamental part of software development, and one of the largest in terms of time spe...
This paper describes the preliminary results of a project investigating approaches to dynamic debugg...
Rapporteurs Van Campenhout, Jan; Lecussan, Bernard; Mossière, Jacques Examinateurs Olive, Vincent; P...
Clusters of shared-memory symmetric multiprocessors are increasingly used for high performance...
Multicore is here to stay. To keep up with the hardware innovation, software developers mustmove fro...
178 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2010.In this thesis, we explore a ...
The problems of debugging parallel programs have been known for quite some time. However, the litera...
This paper discusses a new debugging strategy for parallel programs, called parallel relative debugg...
Debugging is generally considered to be difficult. The increased complexity and non determinism of p...
There are two main policies for scheduling thread-based concurrent programs: preemptive scheduling a...
Debugging MIMD programs is often a delicate job. As a matter of fact, they can have different behavi...
Petascale computers and computing systems have the potential to solve large-scale, data-intensive pr...