Performance prediction of parallel applications: a systematic literature review
J Flores-Contreras, HA Duran-Limon… - The Journal of …, 2021 - Springer
Different techniques for estimating the execution time of parallel applications have been
studied for the last 25 years. These approaches have proposed different methods for …
studied for the last 25 years. These approaches have proposed different methods for …
Perfsim: A performance simulator for cloud native microservice chains
Cloud native computing paradigm allows microservice-based applications to take
advantage of cloud infrastructure in a scalable, reusable, and interoperable way. However …
advantage of cloud infrastructure in a scalable, reusable, and interoperable way. However …
Micro-architecture independent analytical processor performance and power modeling
Optimizing processors for specific application (s) can substantially improve energy-
efficiency. With the end of Dennard scaling, and the corresponding reduction in …
efficiency. With the end of Dennard scaling, and the corresponding reduction in …
Ppt-multicore: Performance prediction of openmp applications using reuse profiles and analytical modeling
We present PPT-Multicore, an analytical model embedded in the Performance Prediction
Toolkit (PPT) to predict parallel applications' performance running on a multicore processor …
Toolkit (PPT) to predict parallel applications' performance running on a multicore processor …
RPPM: Rapid performance prediction of multithreaded workloads on multicore processors
Analytical performance modeling is a useful complement to detailed cycle-level simulation to
quickly explore the design space in an early design stage. Mechanistic analytical modeling …
quickly explore the design space in an early design stage. Mechanistic analytical modeling …
Statistical performance prediction for multicore applications based on scalability characteristics
OJ Arndt, M Lüders, H Blume - 2019 IEEE 30th International …, 2019 - ieeexplore.ieee.org
Multicore processors serve as target platforms in a broad variety of applications ranging from
high-performance computing to embedded mobile computing and automotive. But, the …
high-performance computing to embedded mobile computing and automotive. But, the …
Multicore Performance Prediction with MPET: Using Scalability Characteristics for Statistical Cross-Architecture Prediction
OJ Arndt, M Lüders, C Riggers, H Blume - Journal of Signal Processing …, 2020 - Springer
Multicore processors serve as target platforms in a broad variety of applications ranging from
high-performance computing to embedded mobile computing and automotive applications …
high-performance computing to embedded mobile computing and automotive applications …
Toward a general framework for jointly processor-workload empirical modeling
H Sheidaeian, O Fatemi - The Journal of Supercomputing, 2021 - Springer
The complexity of state-of-the-art processor architectures and their consequent vast design
spaces have made it difficult and time-consuming to explore the best configuration for them …
spaces have made it difficult and time-consuming to explore the best configuration for them …
Multi-core and Single-core Raspberry Pi Microprocessor's.
N SAINUDDIN, J Mohd Sultan… - Przeglad …, 2023 - search.ebscohost.com
A multi-core processor is defined as an integrated chip that consists of two or more
processors used for system performance enhancement, speed improvement, and …
processors used for system performance enhancement, speed improvement, and …
A performance projection approach for design-space exploration on Arm HPC environment
C Gavoille - 2024 - theses.hal.science
Today's science increasingly uses simulation to model and understand the world around us.
To improve their speed, accuracy, and modeling capabilities, scientists rely on …
To improve their speed, accuracy, and modeling capabilities, scientists rely on …