Ravi Reddy Manumachu

41 papers A 1B 1C 2Journal 28Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Concurrent and Orthogonal Software Power Meters for Accurate Runtime Energy Profiling of Parallel Hybrid Programs on Heterogeneous Hybrid Servers.
IEEE Trans. Parallel Distributed Syst.
Hafiz Adnan Niaz, Ravi Reddy Manumachu, Alexey L. Lastovetsky
2025 J jnl
Accurate and Reliable Energy Measurement and Modelling of Data Transfer Between CPU and GPU in Parallel Applications on Heterogeneous Hybrid Platforms.
IEEE Trans. Computers
Hafiz Adnan Niaz, Ravi Reddy Manumachu, Alexey L. Lastovetsky
2025 J jnl
Parallel genetic algorithms on hybrid servers: Design, implementation, and optimization for performance and energy.
Swarm Evol. Comput.
Amr Abdelhafez, Ravi Reddy Manumachu, Alexey L. Lastovetsky
2024 J jnl
OpenH: A Novel Programming Model and API for Developing Portable Parallel Programs on Heterogeneous Hybrid Servers.
IEEE Access
Simon Farrelly, Ravi Reddy Manumachu, Alexey L. Lastovetsky
2024 J jnl
SUARA: A scalable universal allreduce communication algorithm for acceleration of parallel deep learning applications.
J. Parallel Distributed Comput.
Emin Nuriyev, Ravi Reddy Manumachu, Samar Aseeri, Mahendra K. Verma, Alexey L. Lastovetsky
2023 J jnl
Acceleration of Bi-Objective Optimization of Data-Parallel Applications for Performance and Energy on Heterogeneous Hybrid Platforms.
IEEE Access
Ravi Reddy Manumachu, Hamidreza Khaleghzadeh, Alexey L. Lastovetsky
2023 J jnl
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.
Concurr. Comput. Pract. Exp.
Hamidreza Khaleghzadeh, Ravi Reddy Manumachu, Alexey L. Lastovetsky
2023 J jnl
Energy-Efficient Parallel Computing: Challenges to Scaling.
Inf.
Alexey L. Lastovetsky, Ravi Reddy Manumachu
2022 J jnl
Novel bi-objective optimization algorithms minimizing the max and sum of vectors of functions.
CoRR
Hamidreza Khaleghzadeh, Ravi Reddy Manumachu, Alexey L. Lastovetsky
2022 — conf
On Energy Nonproportionality of CPUs and GPUs.
IPDPS Workshops
Ravi Reddy Manumachu, Alexey L. Lastovetsky
2021 — conf
A Novel Algorithm for Bi-objective Performance-Energy Optimization of Applications with Continuous Performance and Linear Energy Profiles on Heterogeneous HPC Platforms.
Euro-Par Workshops
Hamidreza Khaleghzadeh, Ravi Reddy Manumachu, Alexey L. Lastovetsky
2021 J jnl
Bi-Objective Optimization of Data-Parallel Applications on Heterogeneous HPC Platforms for Performance and Energy Through Workload Distribution.
IEEE Trans. Parallel Distributed Syst.
Hamidreza Khaleghzadeh, Muhammad Fahad, Arsalan Shahid, Ravi Reddy Manumachu, Alexey L. Lastovetsky
2021 J jnl
Energy Predictive Models of Computing: Theory, Practical Implications and Experimental Analysis on Multicore Processors.
IEEE Access
Arsalan Shahid, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky
2021 J jnl
Improving the accuracy of energy predictive models for multicore CPUs by combining utilization and performance events model variables.
J. Parallel Distributed Comput.
Arsalan Shahid, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky
2020 J jnl
A Comparative Study of Techniques for Energy Predictive Modeling Using Performance Monitoring Counters on Modern Multicore CPUs.
IEEE Access
Arsalan Shahid, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky
2020 J jnl
A Hierarchical Data-Partitioning Algorithm for Performance Optimization of Data-Parallel Applications on Heterogeneous Multi-Accelerator NUMA Nodes.
IEEE Access
Hamidreza Khaleghzadeh, Ravi Reddy Manumachu, Alexey L. Lastovetsky
2020 J jnl
A novel data partitioning algorithm for dynamic energy optimization on heterogeneous high-performance computing platforms.
Concurr. Comput. Pract. Exp.
Hamidreza Khaleghzadeh, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky
2020 J jnl
Accurate Energy Modelling of Hybrid Parallel Applications on Modern Heterogeneous Computing Platforms Using System-Level Measurements.
IEEE Access
Muhammad Fahad, Arsalan Shahid, Ravi Reddy Manumachu, Alexey L. Lastovetsky
2020 — ed.
Euro-Par 2019: Parallel Processing Workshops - Euro-Par 2019 International Workshops, Göttingen, Germany, August 26-30, 2019, Revised Selected Papers
Euro-Par Workshops
Ulrich Schwardmann, Christian Boehme, Dora B. Heras, Valeria Cardellini, Emmanuel Jeannot, Antonio Salis, Claudio Schifanella, Ravi Reddy Manumachu, Dieter Schwamborn, Laura Ricci, Oh Sangyoon, Thomas Gruber, Laura Antonelli, Stephen L. Scott
2020 J jnl
The 27th International Heterogeneity in Computing Workshop and the 16th International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms.
Concurr. Comput. Pract. Exp.
Alexey L. Lastovetsky, Ravi Reddy Manumachu
2019 J jnl
A Survey of Communication Performance Models for High-Performance Computing.
ACM Comput. Surv.
Juan A. Rico-Gallego, Juan Carlos Díaz Martín, Ravi Reddy Manumachu, Alexey L. Lastovetsky
2019 J jnl
Bi-objective Optimisation of Data-parallel Applications on Heterogeneous Platforms for Performance and Energy via Workload Distribution.
CoRR
Hamidreza Khaleghzadeh, Muhammad Fahad, Arsalan Shahid, Ravi Reddy Manumachu, Alexey L. Lastovetsky
2019 J jnl
Design of self-adaptable data parallel applications on multicore clusters automatically optimized for performance and energy through load distribution.
Concurr. Comput. Pract. Exp.
Ravi Reddy Manumachu, Alexey L. Lastovetsky
2019 — ch.
Energy aware ultrascale systems.
Ultrascale Computing Systems
Ariel Oleksiak, Laurent Lefèvre, Pedro Alonso, Georges Da Costa, Vincenzo De Maio, Neki Frasheri, Víctor M. García, Joel E. Guerrero, Sébastien Lafond, Alexey L. Lastovetsky, Ravi Reddy Manumachu, Benson Muite, Anne-Cécile Orgerie, Wojciech Piatek, Jean-Marc Pierson, Radu Prodan, Patricia Stolf, Enida Sheme, Sébastien Varrette
2019 J jnl
Energy of Computing on Multicore CPUs: Predictive Models and Energy Conservation Law.
CoRR
Arsalan Shahid, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky
2019 — ed.
Euro-Par 2018: Parallel Processing Workshops - Euro-Par 2018 International Workshops, Turin, Italy, August 27-28, 2018, Revised Selected Papers
Euro-Par Workshops
Gabriele Mencagli, Dora B. Heras, Valeria Cardellini, Emiliano Casalicchio, Emmanuel Jeannot, Felix Wolf, Antonio Salis, Claudio Schifanella, Ravi Reddy Manumachu, Laura Ricci, Marco Beccuti, Laura Antonelli, José Daniel García Sánchez, Stephen L. Scott
2019 B conf
Improving the Accuracy of Energy Predictive Models for Multicore CPUs Using Additivity of Performance Monitoring Counters.
PaCT
Arsalan Shahid, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky
2019 J jnl
Modern Multicore CPUs are not Energy Proportional: Opportunity for Bi-objective Optimization for Performance and Energy.
CoRR
Semyon Khokhriakov, Ravi Reddy Manumachu, Alexey L. Lastovetsky
2019 — conf
Optimization of Data-Parallel Applications on Heterogeneous HPC Platforms for Dynamic Energy Through Workload Distribution.
Euro-Par Workshops
Hamidreza Khaleghzadeh, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky
2019 — ch.
Programming models and runtimes.
Ultrascale Computing Systems
Georges Da Costa, Alexey L. Lastovetsky, Jorge G. Barbosa, Juan Carlos Díaz Martín, Juan-Luis García Zapata, Matthias Janetschek, Emmanuel Jeannot, João Leitão, Ravi Reddy Manumachu, Radu Prodan, Juan A. Rico-Gallego, Peter Van Roy, Ali Shoker, Albert van der Linde
2019 — conf
SummaGen: Parallel Matrix-Matrix Multiplication Based on Non-rectangular Partitions for Heterogeneous HPC Platforms.
IPDPS Workshops
Stephen Patton, Hamidreza Khaleghzadeh, Ravi Reddy Manumachu, Alexey L. Lastovetsky
2018 J jnl
A Novel Data-Partitioning Algorithm for Performance Optimization of Data-Parallel Applications on Heterogeneous HPC Platforms.
IEEE Trans. Parallel Distributed Syst.
Hamidreza Khaleghzadeh, Ravi Reddy Manumachu, Alexey L. Lastovetsky
2018 J jnl
Bi-Objective Optimization of Data-Parallel Applications on Homogeneous Multicore Clusters for Performance and Energy.
IEEE Trans. Computers
Ravi Reddy Manumachu, Alexey L. Lastovetsky
2018 J jnl
Parallel Data Partitioning Algorithms for Optimization of Data-Parallel Applications on Modern Extreme-Scale Multicore Platforms for Performance and Energy.
IEEE Access
Ravi Reddy Manumachu, Alexey L. Lastovetsky
2018 — conf
Performance Optimization of Multithreaded 2D FFT on Multicore Processors: Challenges and Solution Approaches.
HiPC Workshops
Semyon Khokhriakov, Ravi Reddy Manumachu, Alexey L. Lastovetsky
2018 J jnl
Performance Optimization of Multithreaded 2D Fast Fourier Transform on Multicore Processors Using Load Imbalancing Parallel Computing Method.
IEEE Access
Semyon Khokhriakov, Ravi Reddy Manumachu, Alexey L. Lastovetsky
2018 J jnl
libhclooc: Software Library Facilitating Out-of-core Implementations of Accelerator Kernels on Hybrid Computing Platforms.
CoRR
Daniel Hanlon, Hamidreza Khaleghzadeh, Ravi Reddy Manumachu, Alexey L. Lastovetsky
2017 J jnl
New Model-Based Methods and Algorithms for Performance and Energy Optimization of Data Parallel Applications on Homogeneous Multicore Clusters.
IEEE Trans. Parallel Distributed Syst.
Alexey L. Lastovetsky, Ravi Reddy Manumachu
2009 A conf
Parallel solvers for dense linear systems for heterogeneous computational clusters.
IPDPS
Ravi Reddy Manumachu, Alexey L. Lastovetsky, Pedro Alonso
2008 C conf
Heterogeneous PBLAS: Optimization of PBLAS for Heterogeneous Computational Clusters.
ISPDC
Ravi Reddy Manumachu, Alexey L. Lastovetsky, Pedro Alonso
2008 C conf
Scalable Dense Factorizations for Heterogeneous Computational Clusters.
ISPDC
Ravi Reddy Manumachu, Alexey L. Lastovetsky, Pedro Alonso