Not many CNSF users undertake the arduous task of parallelizing their programs. Of course, training, education, and available hardware will have a lot to do with changing this situation, but we feel that tools also have an important role to play. In 1989, we wrote: "At the present time, the general lack of parallel programming tools is an inhibitor to parallel programming at the Cornell National Supercomputer Facility (CNSF). The Technology Integration Group (TIG)is evaluating a number of tools designed to make parallel programming easier, including tools for source analysis, program development and execution analysis. The more effective tools will be 'mainstreamed', i.e. turned over to users, integrated into workshops and consulted on by s...
Today’s processors exploit the fine grain data parallelism that exists in many applications via ILP ...
The programming of parallel and distributed applications is difficult. The proliferation of net wor...
Parallel programming is a hot topic among scientists and engineers. The number of parallel machines ...
2Writing parallel programs is difficult. Besides the inherent difficulties associ-ated with writing ...
The best enterprises have both a compelling need pulling them forward and an innovative technologica...
It is today's general wisdom that the productive use of parallel architectures depends cruciall...
This book presents the proceedings of the 10th International Parallel Tools Workshop, held October 4...
The evolution of parallel processing over the past several decades can be viewed as the development ...
This paper continues the discussion of parallel tool support with an overview of the current state o...
Parallel programmers do not use software tools, in spite fact that parallel development is a difficu...
Current advances in High Performance Computing (HPC) increasingly impact efficient software developm...
Two basic technology gaps in today's parallel computers are: 1) too much latency in accessing o...
Highly parallel architectures will be useful in meeting the demands of computationally intensive tas...
This book presents the proceedings of the 11th International Parallel Tools Workshop, a forum to dis...
The construction of supercomputers assembled from scalable massively-parallel computer hardware beca...
Today’s processors exploit the fine grain data parallelism that exists in many applications via ILP ...
The programming of parallel and distributed applications is difficult. The proliferation of net wor...
Parallel programming is a hot topic among scientists and engineers. The number of parallel machines ...
2Writing parallel programs is difficult. Besides the inherent difficulties associ-ated with writing ...
The best enterprises have both a compelling need pulling them forward and an innovative technologica...
It is today's general wisdom that the productive use of parallel architectures depends cruciall...
This book presents the proceedings of the 10th International Parallel Tools Workshop, held October 4...
The evolution of parallel processing over the past several decades can be viewed as the development ...
This paper continues the discussion of parallel tool support with an overview of the current state o...
Parallel programmers do not use software tools, in spite fact that parallel development is a difficu...
Current advances in High Performance Computing (HPC) increasingly impact efficient software developm...
Two basic technology gaps in today's parallel computers are: 1) too much latency in accessing o...
Highly parallel architectures will be useful in meeting the demands of computationally intensive tas...
This book presents the proceedings of the 11th International Parallel Tools Workshop, a forum to dis...
The construction of supercomputers assembled from scalable massively-parallel computer hardware beca...
Today’s processors exploit the fine grain data parallelism that exists in many applications via ILP ...
The programming of parallel and distributed applications is difficult. The proliferation of net wor...
Parallel programming is a hot topic among scientists and engineers. The number of parallel machines ...