Predicting workflow task execution time in the cloud using a two-stage machine learning approach
Many techniques such as scheduling and resource provisioning rely on performance
prediction of workflow tasks for varying input data. However, such estimates are difficult to …
prediction of workflow tasks for varying input data. However, such estimates are difficult to …
Compass: A framework for automated performance modeling and prediction
Flexible, accurate performance predictions offer numerous benefits such as gaining insight
into and optimizing applications and architectures. However, the development and …
into and optimizing applications and architectures. However, the development and …
Automated performance modeling of HPC applications using machine learning
Automated performance modeling and performance prediction of parallel programs are
highly valuable in many use cases, such as in guiding task management and job …
highly valuable in many use cases, such as in guiding task management and job …
Apollo: Reusable models for fast, dynamic tuning of input-dependent code
Increasing architectural diversity makes performance portability extremely important for
parallel simulation codes. Emerging on-node parallelization frameworks such as Kokkos …
parallel simulation codes. Emerging on-node parallelization frameworks such as Kokkos …
Autonomic workload performance tuning in large-scale data repositories
The workload in large-scale data repositories involves concurrent users and contains
homogenous and heterogeneous data. The large volume of data, dynamic behavior and …
homogenous and heterogeneous data. The large volume of data, dynamic behavior and …
Selecting efficient cloud resources for hpc workloads
JR Brunetta, E Borin - Proceedings of the 12th IEEE/ACM International …, 2019 - dl.acm.org
Constant advances in CPU, storage, and network virtualization are enabling high-
performance computing (HPC) applications to be efficiently executed on cloud computing …
performance computing (HPC) applications to be efficiently executed on cloud computing …
Performance prediction and adaptation for database management system workload using case-based reasoning approach
Workload management in a Database Management System (DBMS) has become difficult
and challenging because of workload complexity and heterogeneity. During and after …
and challenging because of workload complexity and heterogeneity. During and after …
Mining performance specifications
M Brünink, DS Rosenblum - Proceedings of the 2016 24th acm sigsoft …, 2016 - dl.acm.org
Functional testing is widespread and supported by a multitude of tools, including tools to
mine functional specifications. In contrast, non-functional attributes like performance are …
mine functional specifications. In contrast, non-functional attributes like performance are …
Using compiler techniques to improve automatic performance modeling
A Bhattacharyya, G Kwasniewski… - … Conference on Parallel …, 2015 - ieeexplore.ieee.org
Performance modeling can be utilized in a number of scenarios, starting from finding
performance bugs to the scalability study of applications. Existing dynamic and static …
performance bugs to the scalability study of applications. Existing dynamic and static …
PerFlow: A domain specific framework for automatic performance analysis of parallel applications
Performance analysis is widely used to identify performance issues of parallel applications.
However, complex communications and data dependence, as well as the interactions …
However, complex communications and data dependence, as well as the interactions …