High-performance computing systems continue to employ more and more processor cores. Current typical high-end machines in industry, university, and government research laboratory computing centers feature thousands of computing cores. While these machines promise ever more compute power and memory capacity to tackle today's complex simulation problems, they force application developers to greatly enhance the scalability of their codes to be able to exploit it. To better support them in their porting and tuning process, many parallel-tools research groups have already started to work on scaling their methods, techniques, and tools to extreme processor counts. In this paper, we survey existing profiling and tracing tools, report on our experi...
With the deployment of 10-20 PFlop/s supercomputers and the exascale roadmap targeting 100, 300, and...
High-performance computing systems have become increasingly dynamic, complex, and unpredictable. To ...
......The current industrial trend to-ward large multicore processors with multi-ple tens or hundred...
As supercomputers scale to 1,000 PFlop/s over the next decade, investi-gating the performance of par...
Scientific applications will have to scale to many thousands of processor cores to reach petascale. ...
Current large-scale HPC systems consist of complex configurations with a huge number of potentially ...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scien...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scie...
The massively parallel computer architectures emerged in the last years create the platform to redef...
LAGADAPATI, MAHESH. Benchmark Generation and Simulation at Extreme Scale. (Under the direction of Fr...
Utilizing the parallelism offered by multicore CPUs is hard, though profiling and tracing are well-e...
We present the results of a series of experiments studying how visualization software scales to mass...
We present the results of a series of experiments studying how visualization software scales to mass...
Over the past 10 years we have seen the transition from single core computer to multicore computing,...
Utilizing the parallelism offered by multicore CPUs is hard, though profiling and tracing are establ...
With the deployment of 10-20 PFlop/s supercomputers and the exascale roadmap targeting 100, 300, and...
High-performance computing systems have become increasingly dynamic, complex, and unpredictable. To ...
......The current industrial trend to-ward large multicore processors with multi-ple tens or hundred...
As supercomputers scale to 1,000 PFlop/s over the next decade, investi-gating the performance of par...
Scientific applications will have to scale to many thousands of processor cores to reach petascale. ...
Current large-scale HPC systems consist of complex configurations with a huge number of potentially ...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scien...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scie...
The massively parallel computer architectures emerged in the last years create the platform to redef...
LAGADAPATI, MAHESH. Benchmark Generation and Simulation at Extreme Scale. (Under the direction of Fr...
Utilizing the parallelism offered by multicore CPUs is hard, though profiling and tracing are well-e...
We present the results of a series of experiments studying how visualization software scales to mass...
We present the results of a series of experiments studying how visualization software scales to mass...
Over the past 10 years we have seen the transition from single core computer to multicore computing,...
Utilizing the parallelism offered by multicore CPUs is hard, though profiling and tracing are establ...
With the deployment of 10-20 PFlop/s supercomputers and the exascale roadmap targeting 100, 300, and...
High-performance computing systems have become increasingly dynamic, complex, and unpredictable. To ...
......The current industrial trend to-ward large multicore processors with multi-ple tens or hundred...