In this paper we give an overview of SCALEA, which is a new performance analysis tool for OpenMP, MPI, HPF, and mixed parallel/distributed programs. SCALEA instruments, executes and measures programs and computes a variety of performance overheads based on a novel overhead classification. Source code and HWprofiling is combined in a single system which significantly extends the scope of possible overheads that can be measured and examined, ranging from HW-counters, such as the number of cache misses or floating point operations, to mor
In this paper, we present two new approaches while rendering necessary extensions to Periscope to pe...
Utilizing the parallelism offered by multicore CPUs is hard, though profiling and tracing are well-e...
This paper presents scalability as a basis for profiling and performance debugging of parallel progr...
Efficiently utilizing the computational resources of today's HPC systems is a non-trivial task. For...
The efficient parallel execution of scientific applications is a key challenge in high-performance c...
International audienceAchieving good scalability from parallel codes is becoming increasingly diffic...
Performance analysis is the task of monitor the behavior of a program execution. The main goal is to...
We take a look at the performance analysis tools Vampir, Scalasca, Sun Performance Analyzer and the ...
Scalasca is a software tool that supports the performance optimization of parallel programs by measu...
Utilizing the parallelism offered by multicore CPUs is hard, though profiling and tracing are establ...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scien...
Scalable performance analysis is a challenge for parallel development tools. The potential size of d...
HPC application developers encounter significant challenges getting their codes to run correctly on ...
. Conventional performance environments are based on profiling and event instrumentation. It becomes...
High-performance computing systems have become increasingly dynamic, complex, and unpredictable. To ...
In this paper, we present two new approaches while rendering necessary extensions to Periscope to pe...
Utilizing the parallelism offered by multicore CPUs is hard, though profiling and tracing are well-e...
This paper presents scalability as a basis for profiling and performance debugging of parallel progr...
Efficiently utilizing the computational resources of today's HPC systems is a non-trivial task. For...
The efficient parallel execution of scientific applications is a key challenge in high-performance c...
International audienceAchieving good scalability from parallel codes is becoming increasingly diffic...
Performance analysis is the task of monitor the behavior of a program execution. The main goal is to...
We take a look at the performance analysis tools Vampir, Scalasca, Sun Performance Analyzer and the ...
Scalasca is a software tool that supports the performance optimization of parallel programs by measu...
Utilizing the parallelism offered by multicore CPUs is hard, though profiling and tracing are establ...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scien...
Scalable performance analysis is a challenge for parallel development tools. The potential size of d...
HPC application developers encounter significant challenges getting their codes to run correctly on ...
. Conventional performance environments are based on profiling and event instrumentation. It becomes...
High-performance computing systems have become increasingly dynamic, complex, and unpredictable. To ...
In this paper, we present two new approaches while rendering necessary extensions to Periscope to pe...
Utilizing the parallelism offered by multicore CPUs is hard, though profiling and tracing are well-e...
This paper presents scalability as a basis for profiling and performance debugging of parallel progr...