Resultados da busca - Alexey Lastovetsky

Efficient and Accurate Selection of Optimal Collective Communication Algorithms Using Analytical Performance Modeling por Emin Nuriyev, Alexey Lastovetsky

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Towards Optimal Matrix Partitioning for Data Parallel Computing on a Hybrid Heterogeneous Server por Tania Malik, Alexey Lastovetsky

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Energy-Efficient Parallel Computing: Challenges to Scaling por Alexey Lastovetsky, Ravi Reddy Manumachu

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Parallel Data Partitioning Algorithms for Optimization of Data-Parallel Applications on Modern Extreme-Scale Multicore Platforms for Performance and Energy por Ravi Reddy Manumachu, Alexey Lastovetsky

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Parallel DNNs on Hybrid Heterogeneous Platforms: Design, Implementation, and Optimisation for Performance and Energy por Hamidreza Khaleghzadeh, Atefeh Khazaei, Alexey Lastovetsky

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Performance Optimization of Multithreaded 2D Fast Fourier Transform on Multicore Processors Using Load Imbalancing Parallel Computing Method por Semyon Khokhriakov, Ravi Reddy Manumachu, Alexey Lastovetsky

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Acceleration of Bi-Objective Optimization of Data-Parallel Applications for Performance and Energy on Heterogeneous Hybrid Platforms por Ravi Reddy Manumachu, Hamidreza Khaleghzadeh, Alexey Lastovetsky

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OpenH: A Novel Programming Model and API for Developing Portable Parallel Programs on Heterogeneous Hybrid Servers por Simon Farrelly, Ravi Reddy Manumachu, Alexey Lastovetsky

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A Hierarchical Data-Partitioning Algorithm for Performance Optimization of Data-Parallel Applications on Heterogeneous Multi-Accelerator NUMA Nodes por Hamidreza Khaleghzadeh, Ravi Reddy Manumachu, Alexey Lastovetsky

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Accurate Energy Modelling of Hybrid Parallel Applications on Modern Heterogeneous Computing Platforms Using System-Level Measurements por Muhammad Fahad, Arsalan Shahid, Ravi Reddy Manumachu, Alexey Lastovetsky

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Energy Predictive Models of Computing: Theory, Practical Implications and Experimental Analysis on Multicore Processors por Arsalan Shahid, Muhammad Fahad, Ravi Reddy Manumachu, Alexey Lastovetsky

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A Comparative Study of Methods for Measurement of Energy of Computing por Muhammad Fahad, Arsalan Shahid, Ravi Reddy Manumachu, Alexey Lastovetsky

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A Novel Statistical Learning-Based Methodology for Measuring the Goodness of Energy Profiles of Applications Executing on Multicore Computing Platforms por Muhammad Fahad, Arsalan Shahid, Ravi Reddy Manumachu, Alexey Lastovetsky

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A Comparative Study of Techniques for Energy Predictive Modeling Using Performance Monitoring Counters on Modern Multicore CPUs por Arsalan Shahid, Muhammad Fahad, Ravi Reddy Manumachu, Alexey Lastovetsky

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