Topics
high-performance computingInformation appliance
UintahPlace
pre-printParallel computational frameworks for high-performance computing are central to the advancement of simulation-based studies in science and engineering. Finding and fixing bugs in these frameworks can be time consuming. If left unchecked, these bugs diminish the amount of new science performed. A systematic study of the Uintah Computational Framework investigates debugging approaches, leveraging the framework's modular structure
Traditional debuggers are of limited value for modern scientific codes that manipulate large complex...
Since the beginning of the field of high performance computing (HPC) after World War II, there has b...
AbstractRuntime verification of large-scale scientific codes is difficult because they often involve...
Abstract—Parallel computational frameworks for high perfor-mance computing (HPC) are central to the ...
Contemporary parallel debuggers allow users to control more than one processing thread while support...
Developing correct and efficient software for large scale systems is a challenging task. Developers ...
Statistical debugging identifies program behaviors that are highly correlated with failures. Tra...
AbstractTraditional debuggers are of limited value for modern scientific codes that manipulate large...
Abstract—While formal correctness checking methods have been deployed at scale in a number of import...
Petascale computers and computing systems have the potential to solve large-scale, data-intensive pr...
Petascale platforms with O(10{sup 5}) and O(10{sup 6}) processing cores are driving advancements in ...
Debugging is a fundamental part of software development, and one of the largest in terms of time spe...
Large scale simulations are used in a variety of application areas in science and engineering to hel...
ABSTRACT: Heterogeneous multi-core and many-core processors are increasingly common in personal comp...
Detection, diagnosis and mitigation of performance problems in today\u27s large-scale distributed an...
Traditional debuggers are of limited value for modern scientific codes that manipulate large complex...
Since the beginning of the field of high performance computing (HPC) after World War II, there has b...
AbstractRuntime verification of large-scale scientific codes is difficult because they often involve...
Abstract—Parallel computational frameworks for high perfor-mance computing (HPC) are central to the ...
Contemporary parallel debuggers allow users to control more than one processing thread while support...
Developing correct and efficient software for large scale systems is a challenging task. Developers ...
Statistical debugging identifies program behaviors that are highly correlated with failures. Tra...
AbstractTraditional debuggers are of limited value for modern scientific codes that manipulate large...
Abstract—While formal correctness checking methods have been deployed at scale in a number of import...
Petascale computers and computing systems have the potential to solve large-scale, data-intensive pr...
Petascale platforms with O(10{sup 5}) and O(10{sup 6}) processing cores are driving advancements in ...
Debugging is a fundamental part of software development, and one of the largest in terms of time spe...
Large scale simulations are used in a variety of application areas in science and engineering to hel...
ABSTRACT: Heterogeneous multi-core and many-core processors are increasingly common in personal comp...
Detection, diagnosis and mitigation of performance problems in today\u27s large-scale distributed an...
Traditional debuggers are of limited value for modern scientific codes that manipulate large complex...
Since the beginning of the field of high performance computing (HPC) after World War II, there has b...
AbstractRuntime verification of large-scale scientific codes is difficult because they often involve...
Add to ORKG