Ravi Reddy Manumachu

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 31

Top Topics

Multicore Processors

Computing Platform

Partitioning Algorithm

Energy Conservation

Top Venues

Concurr. Comput. Pract. Exp.

IEEE Trans. Parallel Distributed Syst.

Publications

Emin Nuriyev, Ravi Reddy Manumachu, Samar Aseeri, Mahendra K. Verma, Alexey L. Lastovetsky
SUARA: A scalable universal allreduce communication algorithm for acceleration of parallel deep learning applications. J. Parallel Distributed Comput. 183 (2024)
Simon Farrelly, Ravi Reddy Manumachu, Alexey L. Lastovetsky
OpenH: A Novel Programming Model and API for Developing Portable Parallel Programs on Heterogeneous Hybrid Servers. IEEE Access 12 (2024)
Hamidreza Khaleghzadeh, Ravi Reddy Manumachu, Alexey L. Lastovetsky
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. 35 (20) (2023)
Alexey L. Lastovetsky, Ravi Reddy Manumachu
Energy-Efficient Parallel Computing: Challenges to Scaling. Inf. 14 (4) (2023)
Ravi Reddy Manumachu, Hamidreza Khaleghzadeh, Alexey L. Lastovetsky
Acceleration of Bi-Objective Optimization of Data-Parallel Applications for Performance and Energy on Heterogeneous Hybrid Platforms. IEEE Access 11 (2023)
Hamidreza Khaleghzadeh, Ravi Reddy Manumachu, Alexey L. Lastovetsky
Novel bi-objective optimization algorithms minimizing the max and sum of vectors of functions. CoRR (2022)
Ravi Reddy Manumachu, Alexey L. Lastovetsky
On Energy Nonproportionality of CPUs and GPUs. IPDPS Workshops (2022)
Arsalan Shahid, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky
Energy Predictive Models of Computing: Theory, Practical Implications and Experimental Analysis on Multicore Processors. IEEE Access 9 (2021)
Hamidreza Khaleghzadeh, Muhammad Fahad, Arsalan Shahid, Ravi Reddy Manumachu, Alexey L. Lastovetsky
Bi-Objective Optimization of Data-Parallel Applications on Heterogeneous HPC Platforms for Performance and Energy Through Workload Distribution. IEEE Trans. Parallel Distributed Syst. 32 (3) (2021)
Hamidreza Khaleghzadeh, Ravi Reddy Manumachu, Alexey L. Lastovetsky
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 (2021)
Arsalan Shahid, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky
Improving the accuracy of energy predictive models for multicore CPUs by combining utilization and performance events model variables. J. Parallel Distributed Comput. 151 (2021)
Muhammad Fahad, Arsalan Shahid, Ravi Reddy Manumachu, Alexey L. Lastovetsky
Accurate Energy Modelling of Hybrid Parallel Applications on Modern Heterogeneous Computing Platforms Using System-Level Measurements. IEEE Access 8 (2020)
Hamidreza Khaleghzadeh, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky
A novel data partitioning algorithm for dynamic energy optimization on heterogeneous high-performance computing platforms. Concurr. Comput. Pract. Exp. 32 (21) (2020)
Alexey L. Lastovetsky, Ravi Reddy Manumachu
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. 32 (15) (2020)
Hamidreza Khaleghzadeh, Ravi Reddy Manumachu, Alexey L. Lastovetsky
A Hierarchical Data-Partitioning Algorithm for Performance Optimization of Data-Parallel Applications on Heterogeneous Multi-Accelerator NUMA Nodes. IEEE Access 8 (2020)
Arsalan Shahid, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky
A Comparative Study of Techniques for Energy Predictive Modeling Using Performance Monitoring Counters on Modern Multicore CPUs. IEEE Access 8 (2020)
Arsalan Shahid, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky
Energy of Computing on Multicore CPUs: Predictive Models and Energy Conservation Law. CoRR (2019)
Ravi Reddy Manumachu, Alexey L. Lastovetsky
Design of self-adaptable data parallel applications on multicore clusters automatically optimized for performance and energy through load distribution. Concurr. Comput. Pract. Exp. 31 (4) (2019)
Hamidreza Khaleghzadeh, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky
Optimization of Data-Parallel Applications on Heterogeneous HPC Platforms for Dynamic Energy Through Workload Distribution. Euro-Par Workshops (2019)
Hamidreza Khaleghzadeh, Muhammad Fahad, Arsalan Shahid, Ravi Reddy Manumachu, Alexey L. Lastovetsky
Bi-objective Optimisation of Data-parallel Applications on Heterogeneous Platforms for Performance and Energy via Workload Distribution. CoRR (2019)
Arsalan Shahid, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky
Improving the Accuracy of Energy Predictive Models for Multicore CPUs Using Additivity of Performance Monitoring Counters. PaCT (2019)
Stephen Patton, Hamidreza Khaleghzadeh, Ravi Reddy Manumachu, Alexey L. Lastovetsky
SummaGen: Parallel Matrix-Matrix Multiplication Based on Non-rectangular Partitions for Heterogeneous HPC Platforms. IPDPS Workshops (2019)
Juan A. Rico-Gallego, Juan Carlos Díaz Martín, Ravi Reddy Manumachu, Alexey L. Lastovetsky
A Survey of Communication Performance Models for High-Performance Computing. ACM Comput. Surv. 51 (6) (2019)
Semyon Khokhriakov, Ravi Reddy Manumachu, Alexey L. Lastovetsky
Modern Multicore CPUs are not Energy Proportional: Opportunity for Bi-objective Optimization for Performance and Energy. CoRR (2019)
Ravi Reddy Manumachu, Alexey L. Lastovetsky
Parallel Data Partitioning Algorithms for Optimization of Data-Parallel Applications on Modern Extreme-Scale Multicore Platforms for Performance and Energy. IEEE Access 6 (2018)
Daniel Hanlon, Hamidreza Khaleghzadeh, Ravi Reddy Manumachu, Alexey L. Lastovetsky
libhclooc: Software Library Facilitating Out-of-core Implementations of Accelerator Kernels on Hybrid Computing Platforms. CoRR (2018)
Hamidreza Khaleghzadeh, Ravi Reddy Manumachu, Alexey L. Lastovetsky
A Novel Data-Partitioning Algorithm for Performance Optimization of Data-Parallel Applications on Heterogeneous HPC Platforms. IEEE Trans. Parallel Distributed Syst. 29 (10) (2018)
Semyon Khokhriakov, Ravi Reddy Manumachu, Alexey L. Lastovetsky
Performance Optimization of Multithreaded 2D FFT on Multicore Processors: Challenges and Solution Approaches. HiPC Workshops (2018)
Semyon Khokhriakov, Ravi Reddy Manumachu, Alexey L. Lastovetsky
Performance Optimization of Multithreaded 2D Fast Fourier Transform on Multicore Processors Using Load Imbalancing Parallel Computing Method. IEEE Access 6 (2018)
Ravi Reddy Manumachu, Alexey L. Lastovetsky
Bi-Objective Optimization of Data-Parallel Applications on Homogeneous Multicore Clusters for Performance and Energy. IEEE Trans. Computers 67 (2) (2018)
Alexey L. Lastovetsky, Ravi Reddy Manumachu
New Model-Based Methods and Algorithms for Performance and Energy Optimization of Data Parallel Applications on Homogeneous Multicore Clusters. IEEE Trans. Parallel Distributed Syst. 28 (4) (2017)
Ravi Reddy Manumachu, Alexey L. Lastovetsky, Pedro Alonso
Parallel solvers for dense linear systems for heterogeneous computational clusters. IPDPS (2009)
Ravi Reddy Manumachu, Alexey L. Lastovetsky, Pedro Alonso
Heterogeneous PBLAS: Optimization of PBLAS for Heterogeneous Computational Clusters. ISPDC (2008)
Ravi Reddy Manumachu, Alexey L. Lastovetsky, Pedro Alonso
Scalable Dense Factorizations for Heterogeneous Computational Clusters. ISPDC (2008)