The importance of ensemble computing is well established. However, executing ensembles at scale introduces interesting performance fluctuations that have not been well investigated. In this paper, we trace our experience uncovering performance fluctuations of ensemble applications (primarily constituting a workflow of GROMACS tasks), and unsuccessful attempts, so far, at trying to discern the underlying cause(s) of performance fluctuations. Is the failure to discern the causative or contributing factors a failure of capability? Or imagination? Do the fluctuations have their genesis in some inscrutable aspect of the system or software? Does it warrant a fundamental reassessment and rethinking of how we assume and conceptualize performance re...
Improvements in performance and energy efficiency often require deep understanding of the complex in...
How long does it take you to go to work every day? How long before your internet page is loaded? How...
International audienceWith commits and releases, hundreds of tests are run on varying conditions (e....
The importance of ensemble computing is well established. However, executing ensembles at scale intr...
Measuring performance and quantifying a performance change are core evaluation techniques in program...
Software performance faults have severe consequences for users, developers, and companies. One way t...
Dynamic performance analysis of executing programs commonly relies on statistical profiling techniqu...
<p>Today, large-scale scientific applications are both data driven and distributed. To support the s...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scien...
With the increasing adoption of distributed systems in both academia and industry, and with the incr...
A common simplification made when modeling the performance of a parallel program is the assumption t...
Empirical experience regarding how real-life performance issues are caused and resolved can provide ...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scie...
Abstract. It is increasingly becoming evident that operating system interference in the form of daem...
Abstract—A key goal of performance testing is the detection of performance degradations (i.e., regre...
Improvements in performance and energy efficiency often require deep understanding of the complex in...
How long does it take you to go to work every day? How long before your internet page is loaded? How...
International audienceWith commits and releases, hundreds of tests are run on varying conditions (e....
The importance of ensemble computing is well established. However, executing ensembles at scale intr...
Measuring performance and quantifying a performance change are core evaluation techniques in program...
Software performance faults have severe consequences for users, developers, and companies. One way t...
Dynamic performance analysis of executing programs commonly relies on statistical profiling techniqu...
<p>Today, large-scale scientific applications are both data driven and distributed. To support the s...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scien...
With the increasing adoption of distributed systems in both academia and industry, and with the incr...
A common simplification made when modeling the performance of a parallel program is the assumption t...
Empirical experience regarding how real-life performance issues are caused and resolved can provide ...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scie...
Abstract. It is increasingly becoming evident that operating system interference in the form of daem...
Abstract—A key goal of performance testing is the detection of performance degradations (i.e., regre...
Improvements in performance and energy efficiency often require deep understanding of the complex in...
How long does it take you to go to work every day? How long before your internet page is loaded? How...
International audienceWith commits and releases, hundreds of tests are run on varying conditions (e....