Bi-objective optimization of data-parallel applications on heterogeneous HPC platforms for performance and energy through workload distribution
Performance and energy are the two most important objectives for optimization on modern
parallel platforms. In this article, we show that moving from single-objective optimization for …
parallel platforms. In this article, we show that moving from single-objective optimization for …
Energy-efficient parallel computing: Challenges to scaling
A Lastovetsky, RR Manumachu - Information, 2023 - mdpi.com
The energy consumption of Information and Communications Technology (ICT) presents a
new grand technological challenge. The two main approaches to tackle the challenge …
new grand technological challenge. The two main approaches to tackle the challenge …
Energy predictive models of computing: theory, practical implications and experimental analysis on multicore processors
The energy efficiency in ICT is becoming a grand technological challenge and is now a first-
class design constraint in all computing settings. Energy predictive modelling based on …
class design constraint in all computing settings. Energy predictive modelling based on …
Efficient exact algorithms for continuous bi‐objective performance‐energy optimization of applications with linear energy and monotonically increasing performance …
H Khaleghzadeh, R Reddy Manumachu… - Concurrency and …, 2023 - Wiley Online Library
Performance and energy are the two most important objectives for optimization on
heterogeneous high performance computing platforms. This work studies a mathematical …
heterogeneous high performance computing platforms. This work studies a mathematical …
[HTML][HTML] Improving the accuracy of energy predictive models for multicore CPUs by combining utilization and performance events model variables
Energy predictive modeling is the leading method for determining the energy consumption
of an application. Performance monitoring counters (PMCs) and resource utilizations have …
of an application. Performance monitoring counters (PMCs) and resource utilizations have …
Acceleration of bi-objective optimization of data-parallel applications for performance and energy on heterogeneous hybrid platforms
RR Manumachu, H Khaleghzadeh… - IEEE Access, 2023 - ieeexplore.ieee.org
Accelerating the bi-objective optimization of applications for performance and energy is
crucial to achieving energy efficiency objectives and meeting quality-of-service requirements …
crucial to achieving energy efficiency objectives and meeting quality-of-service requirements …
A comparative study of techniques for energy predictive modeling using performance monitoring counters on modern multicore CPUs
Accurate and reliable measurement of energy consumption is essential to energy
optimization at an application level. Energy predictive modelling using performance …
optimization at an application level. Energy predictive modelling using performance …
Towards optimal matrix partitioning for data parallel computing on a hybrid heterogeneous server
T Malik, A Lastovetsky - IEEE Access, 2021 - ieeexplore.ieee.org
Optimal partitioning of a square computational domain over several heterogeneous
processors, balancing the load of the processors and minimizing the inter-processor …
processors, balancing the load of the processors and minimizing the inter-processor …
[PDF][PDF] Energy-Efficient Parallel Computing: Challenges to Scaling. Information 2023, 14, 248
A Lastovetsky, RR Manumachu - 2023 - academia.edu
The energy consumption of Information and Communications Technology (ICT) presents a
new grand technological challenge. The two main approaches to tackle the challenge …
new grand technological challenge. The two main approaches to tackle the challenge …
Modeling the effect of application-specific program transformations on energy and performance improvements of parallel ODE solvers
T Rauber, G Rünger - Journal of Computational Science, 2021 - Elsevier
Ordinary differential equations (ODEs) are important for modelling many problems from
science and engineering and efficient ODE solvers are required, for example when solving …
science and engineering and efficient ODE solvers are required, for example when solving …