This dataset includes over 2.2M performance measurements collected on the CloudLab testbed. Performance tests from CPU and memory benchmarks were run in fixed and random orders allowing comprehensive comparisons. The analysis and the outcomes are summarized in the paper "Avoiding the Ordering Trap in Systems Performance Measurement", which will become available online in the near future and will be presented at USENIX ATC'23. -------------- Contributors: Dmitry Duplyakin (University of Utah) Nikhil Ramesh (University of Utah) Carina Imburgia (University of Washington) Hamza Fathallah Al Sheikh (University of Utah) Semil Jain (University of Utah) Prikshit Tekta (University of Utah) Aleksander Maricq ...
As a fundamental task in computer architecture research, performance comparison has been continuousl...
Current practice in benchmarking commercial computer systems is to run a number of industry-standard...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scien...
This dataset includes over 6.8M performance measurements collected on the CloudLab testbed. For more...
This dataset includes over over 2M CPU performance measurements collected on the CloudLab testbed. F...
Empirical performance measurements of computer systems almost always exhibit variability and anomali...
Systems for high performance computing are getting increasingly complex. On the one hand, the number...
International audienceDetermining key characteristics of High Performance Computing machines that wo...
Modern computing architectures change rapidly and exhibit high levels of complexity and heterogenei...
The authors discuss the important questions that benchmarking must answer and the degree to which su...
The increasing popularity of cloud computing and various options have manifolded over time. The fore...
Big Data analysis is of great challenges in practice. The data set sizes will grow quickly. And anal...
As the world becomes more inter-connected and dependent on the Internet, networks become ever more p...
The problem of interpreting the results of performance analysis is quite critical, mostly because th...
Performance must be measured to: Assess the behavior of a computing system. Compare various systems....
As a fundamental task in computer architecture research, performance comparison has been continuousl...
Current practice in benchmarking commercial computer systems is to run a number of industry-standard...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scien...
This dataset includes over 6.8M performance measurements collected on the CloudLab testbed. For more...
This dataset includes over over 2M CPU performance measurements collected on the CloudLab testbed. F...
Empirical performance measurements of computer systems almost always exhibit variability and anomali...
Systems for high performance computing are getting increasingly complex. On the one hand, the number...
International audienceDetermining key characteristics of High Performance Computing machines that wo...
Modern computing architectures change rapidly and exhibit high levels of complexity and heterogenei...
The authors discuss the important questions that benchmarking must answer and the degree to which su...
The increasing popularity of cloud computing and various options have manifolded over time. The fore...
Big Data analysis is of great challenges in practice. The data set sizes will grow quickly. And anal...
As the world becomes more inter-connected and dependent on the Internet, networks become ever more p...
The problem of interpreting the results of performance analysis is quite critical, mostly because th...
Performance must be measured to: Assess the behavior of a computing system. Compare various systems....
As a fundamental task in computer architecture research, performance comparison has been continuousl...
Current practice in benchmarking commercial computer systems is to run a number of industry-standard...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scien...