10 citations · 23 across the 7 of their papers we have counts for
7 papers
Novel bi-objective optimization algorithms minimizing the max and sum of vectors of functions
Hamidreza Khaleghzadeh, Ravi Reddy Manumachu, Alexey Lastovetsky
We study a bi-objective optimization problem, which for a given positive real number aims to find a vector such that $\s…
Modern Multicore CPUs are not Energy Proportional: Opportunity for Bi-objective Optimization for Performance and Energy
Semyon Khokhriakov, Ravi Reddy Manumachu, Alexey Lastovetsky
Energy proportionality is the key design goal followed by architects of modern multicore CPUs. One of its implications is that optimization of an application for performance will a…
Bi-objective Optimisation of Data-parallel Applications on Heterogeneous Platforms for Performance and Energy via Workload Distribution
Hamidreza Khaleghzadeh, Muhammad Fahad, Arsalan Shahid +2
Performance and energy are the two most important objectives for optimisation on modern parallel platforms. Latest research demonstrated the importance of workload distribution as…
Energy of Computing on Multicore CPUs: Predictive Models and Energy Conservation Law
Arsalan Shahid, Muhammad Fahad, Ravi Reddy Manumachu +1
Energy is now a first-class design constraint along with performance in all computing settings. Energy predictive modelling based on performance monitoring counts (PMCs) is the lea…
Novel Model-based Methods for Performance Optimization of Multithreaded 2D Discrete Fourier Transform on Multicore Processors
Semyon Khokhriakov, Ravi Reddy, Alexey Lastovetsky
In this paper, we use multithreaded fast Fourier transforms provided in three highly optimized packages, FFTW-2.1.5, FFTW-3.3.7, and Intel MKL FFT, to present a novel model-based p…
libhclooc: Software Library Facilitating Out-of-core Implementations of Accelerator Kernels on Hybrid Computing Platforms
Daniel Hanlon, Hamidreza Khalighzadeh, Ravi Reddy Manumachu +1
Hardware accelerators such as Graphics Processing Units (GPUs), Intel Xeon Phi co-processors (PHIs), and Field-Programmable Gate Arrays (FPGAs) are now ubiquitous in extreme-scale…
Design and implementation of self-adaptable parallel algorithms for scientific computing on highly heterogeneous HPC platforms
Alexey Lastovetsky, Ravi Reddy, Vladimir Rychkov +1
Traditional heterogeneous parallel algorithms, designed for heterogeneous clusters of workstations, are based on the assumption that the absolute speed of the processors does not d…