Performance prediction from simulation systems to physical systems using machine learning with transfer learning and scaling
A Mankodi, A Bhatt, B Chaudhury - … and Computation: Practice …, 2023 - Wiley Online Library
Selection from several computer systems with different hardware features resulting in
different software performance is a critical problem to solve. The problem becomes even …
different software performance is a critical problem to solve. The problem becomes even …
Predicting physical computer systems performance and power from simulation systems using machine learning model
A Mankodi, A Bhatt, B Chaudhury - Computing, 2023 - Springer
Software application when executed on computer systems having disparate hardware
features, result in dissimilar performance and power. Therefore, selecting systems with …
features, result in dissimilar performance and power. Therefore, selecting systems with …
Predicting and optimizing system utilization and performance via statistical machine learning
A Ganapathi - 2009 - escholarship.org
The complexity of modern computer systems makes performance modeling an invaluable
resource for guiding crucial decisions such as workload management, configuration …
resource for guiding crucial decisions such as workload management, configuration …
Adaptive variable sampling model for performance analysis in high cache-performance computing environments
High-performance computing provides computing power for a variety of scientific disciplines,
supporting advancements by offering insights beyond metacognition. Maximizing computing …
supporting advancements by offering insights beyond metacognition. Maximizing computing …
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 …
A simulation-based model generator for software performance estimation
With the rise of software system complexity, developers rely more on a modular approach to
system design to reduce development cost. However, as a result, integrating a real-time …
system design to reduce development cost. However, as a result, integrating a real-time …
Performance Prediction of Physical Computer Systems Using Simulation-Based Hardware Models
A Mankodi, A Bhatt, B Chaudhury - … International Conference on …, 2020 - ieeexplore.ieee.org
The advancements in computer systems with different hardware features have aided us with
a selection from several options to execute a given software with a distinct performance …
a selection from several options to execute a given software with a distinct performance …
Can linear approximation improve performance prediction?
V Babka, P Tůma - … Engineering Workshop, EPEW 2011, Borrowdale, UK …, 2011 - Springer
Software performance evaluation relies on the ability of simple models to predict the
performance of complex systems. Often, however, the models are not capturing potentially …
performance of complex systems. Often, however, the models are not capturing potentially …
[PDF][PDF] A Machine Learning Based Approach for Predicting the Performance of Highly-Concurrent Server Applications
M Jayasinghe, S Helmini, N Jihan… - HPCS 2020–18th In …, 2021 - researchgate.net
The closed system performance evaluation is a widely accepted technique for evaluating the
performance of server-based systems. The main characteristic of a closed system is that the …
performance of server-based systems. The main characteristic of a closed system is that the …
Regression-based prediction for task-based program performance
As multicore systems evolve by increasing the number of parallel execution units, parallel
programming models have been released to exploit parallelism in the applications. Task …
programming models have been released to exploit parallelism in the applications. Task …