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New Model-Based Methods and Algorithms for Performance and Energy Optimization of Data Parallel Applications on Homogeneous Multicore Clusters

IEEE transactions on parallel and distributed systems, 2017-04, Vol.28 (4), p.1119-1133

2017

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Efficient exact algorithms for continuous bi‐objective performance‐energy optimization of applications with linear energy and monotonically increasing performance profiles on heterogeneous high performance computing platforms

Concurrency and computation, 2023-09, Vol.35 (20), p.n/a

2023

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Design of self‐adaptable data parallel applications on multicore clusters automatically optimized for performance and energy through load distribution

Concurrency and computation, 2019-02, Vol.31 (4), p.n/a

2019

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A Comparative Study of Methods for Measurement of Energy of Computing

Energies (Basel), 2019-06, Vol.12 (11), p.2204

2019

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Energy-Efficient Parallel Computing: Challenges to Scaling

Information (Basel), 2023-04, Vol.14 (4), p.248

2023

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OpenH: A Novel Programming Model and API for Developing Portable Parallel Programs on Heterogeneous Hybrid Servers

IEEE access, 2024, Vol.12, p.23666-23694

2024

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Acceleration of Bi-objective Optimization of Data-parallel Applications for Performance and Energy on Heterogeneous Hybrid Platforms

IEEE access, 2023-01, Vol.11, p.1-1

2023

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The 27th International Heterogeneity in Computing Workshop and the 16th International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms

Concurrency and computation, 2020-08, Vol.32 (15), p.n/a

2020

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A Hierarchical Data-Partitioning Algorithm for Performance Optimization of Data-Parallel Applications on Heterogeneous Multi-Accelerator NUMA Nodes

IEEE access, 2020, Vol.8, p.7861-7876

2020

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Energy Predictive Models of Computing: Theory, Practical Implications and Experimental Analysis on Multicore Processors

IEEE access, 2021, Vol.9, p.63149-63172

2021

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A Novel Statistical Learning-Based Methodology for Measuring the Goodness of Energy Profiles of Applications Executing on Multicore Computing Platforms

Energies (Basel), 2020-08, Vol.13 (15), p.3944

2020

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Parallel Data Partitioning Algorithms for Optimization of Data-Parallel Applications on Modern Extreme-Scale Multicore Platforms for Performance and Energy

IEEE access, 2018, Vol.6, p.69075-69106

2018

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Accurate Energy Modelling of Hybrid Parallel Applications on Modern Heterogeneous Computing Platforms Using System-Level Measurements

IEEE access, 2020, Vol.8, p.93793-93829

2020

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A Survey of Communication Performance Models for High-Performance Computing

ACM computing surveys, 2019-01, Vol.51 (6), p.1-36, Article 126

2019

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A Comparative Study of Techniques for Energy Predictive Modeling Using Performance Monitoring Counters on Modern Multicore CPUs

IEEE access, 2020, Vol.8, p.143306-143332

2020

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Performance Optimization of Multithreaded 2D Fast Fourier Transform on Multicore Processors Using Load Imbalancing Parallel Computing Method

IEEE access, 2018, Vol.6, p.64202-64224

2018

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Multicore processor computing is not energy proportional: An opportunity for bi-objective optimization for energy and performance

Applied energy, 2020-06, Vol.268, p.114957, Article 114957

2020

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OpenH: A Novel Programming Model and API for Developing Portable Parallel Programs on Heterogeneous Hybrid Servers

IEEE access, 2024, Vol.12, p.23666-23694

2024

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Bi-Objective Optimization of Data-Parallel Applications on Heterogeneous HPC Platforms for Performance and Energy Through Workload Distribution

IEEE transactions on parallel and distributed systems, 2021-03, Vol.32 (3), p.543-560

2021

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IEEE_Xplore

Improving the accuracy of energy predictive models for multicore CPUs by combining utilization and performance events model variables

Journal of parallel and distributed computing, 2021-05, Vol.151, p.38-51

2021

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SUARA: A scalable universal allreduce communication algorithm for acceleration of parallel deep learning applications

Journal of parallel and distributed computing, 2024-01, Vol.183, p.104767, Article 104767

2024

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Optimization of Data-Parallel Applications on Heterogeneous HPC Platforms for Dynamic Energy Through Workload Distribution

Euro-Par 2019: Parallel Processing Workshops, p.320-332

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A Novel Algorithm for Bi-objective Performance-Energy Optimization of Applications with Continuous Performance and Linear Energy Profiles on Heterogeneous HPC Platforms

Euro-Par 2021: Parallel Processing Workshops, p.166-178

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New Model-Based Methods and Algorithms for Performance and Energy Optimization of Data Parallel Applications on Homogeneous Multicore Clusters

Efficient exact algorithms for continuous bi‐objective performance‐energy optimization of applications with linear energy and monotonically increasing performance profiles on heterogeneous high performance computing platforms

Design of self‐adaptable data parallel applications on multicore clusters automatically optimized for performance and energy through load distribution

Euro-Par 2019: Parallel Processing Workshops : Euro-Par 2019 International Workshops, Göttingen, Germany, August 26-30, 2019, Revised Selected Papers

Euro-Par 2018: Parallel Processing Workshops : Euro-Par 2018 International Workshops, Turin, Italy, August 27-28, 2018, Revised Selected Papers

A Comparative Study of Methods for Measurement of Energy of Computing

Energy-Efficient Parallel Computing: Challenges to Scaling

OpenH: A Novel Programming Model and API for Developing Portable Parallel Programs on Heterogeneous Hybrid Servers

Acceleration of Bi-objective Optimization of Data-parallel Applications for Performance and Energy on Heterogeneous Hybrid Platforms

The 27th International Heterogeneity in Computing Workshop and the 16th International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms

A Hierarchical Data-Partitioning Algorithm for Performance Optimization of Data-Parallel Applications on Heterogeneous Multi-Accelerator NUMA Nodes

Energy Predictive Models of Computing: Theory, Practical Implications and Experimental Analysis on Multicore Processors

A Novel Statistical Learning-Based Methodology for Measuring the Goodness of Energy Profiles of Applications Executing on Multicore Computing Platforms

Parallel Data Partitioning Algorithms for Optimization of Data-Parallel Applications on Modern Extreme-Scale Multicore Platforms for Performance and Energy

Accurate Energy Modelling of Hybrid Parallel Applications on Modern Heterogeneous Computing Platforms Using System-Level Measurements

A Survey of Communication Performance Models for High-Performance Computing

A Comparative Study of Techniques for Energy Predictive Modeling Using Performance Monitoring Counters on Modern Multicore CPUs

Performance Optimization of Multithreaded 2D Fast Fourier Transform on Multicore Processors Using Load Imbalancing Parallel Computing Method

Multicore processor computing is not energy proportional: An opportunity for bi-objective optimization for energy and performance

OpenH: A Novel Programming Model and API for Developing Portable Parallel Programs on Heterogeneous Hybrid Servers

Bi-Objective Optimization of Data-Parallel Applications on Heterogeneous HPC Platforms for Performance and Energy Through Workload Distribution

Improving the accuracy of energy predictive models for multicore CPUs by combining utilization and performance events model variables

SUARA: A scalable universal allreduce communication algorithm for acceleration of parallel deep learning applications

Optimization of Data-Parallel Applications on Heterogeneous HPC Platforms for Dynamic Energy Through Workload Distribution

A Novel Algorithm for Bi-objective Performance-Energy Optimization of Applications with Continuous Performance and Linear Energy Profiles on Heterogeneous HPC Platforms

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