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ORCIDRavi Reddy
- > Home > Persons > Ravi Reddy
Publications
- 2025
[j31]Hafiz Adnan Niaz
, Ravi Reddy Manumachu, Alexey L. Lastovetsky:
Accurate and Reliable Energy Measurement and Modelling of Data Transfer Between CPU and GPU in Parallel Applications on Heterogeneous Hybrid Platforms. IEEE Trans. Computers 74(3): 1011-1024 (2025)- 2024
- [j30]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: 23666-23694 (2024) - [j29]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: 104767 (2024) - 2023
- [j28]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: 27226-27245 (2023) - [j27]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) - [j26]Alexey L. Lastovetsky, Ravi Reddy Manumachu:
Energy-Efficient Parallel Computing: Challenges to Scaling. Inf. 14(4): 248 (2023) - 2022
- [c24]Ravi Reddy Manumachu, Alexey L. Lastovetsky:
On Energy Nonproportionality of CPUs and GPUs. IPDPS Workshops 2022: 34-44 - [i7]Hamidreza Khaleghzadeh, Ravi Reddy Manumachu, Alexey L. Lastovetsky:
Novel bi-objective optimization algorithms minimizing the max and sum of vectors of functions. CoRR abs/2209.02475 (2022) - 2021
- [j25]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: 63149-63172 (2021) - [j24]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: 38-51 (2021) - [j23]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): 543-560 (2021) - [c23]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: 166-178 - 2020
- [j22]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: 7861-7876 (2020) - [j21]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: 93793-93829 (2020) - [j20]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: 143306-143332 (2020) - [j19]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) - [j18]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) - 2019
- [j17]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) - [j16]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): 126:1-126:36 (2019) - [c22]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: 320-332 - [c21]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: 57-68 - [c20]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: 51-66 - [p2]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:
Programming models and runtimes. Ultrascale Computing Systems 2019: 9-63 - [p1]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:
Energy aware ultrascale systems. Ultrascale Computing Systems 2019: 127-188 - [i6]Arsalan Shahid, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky:
Energy of Computing on Multicore CPUs: Predictive Models and Energy Conservation Law. CoRR abs/1907.02805 (2019) - [i5]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 abs/1907.04080 (2019) - [i4]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 abs/1910.06674 (2019) - 2018
- [j15]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: 64202-64224 (2018) - [j14]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: 69075-69106 (2018) - [j13]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): 160-177 (2018) - [j12]Hamidreza Khaleghzadeh, Ziming Zhong, Ravi Reddy, Alexey L. Lastovetsky:
Out-of-core implementation for accelerator kernels on heterogeneous clouds. J. Supercomput. 74(2): 551-568 (2018) - [j11]Hamidreza Khaleghzadeh, Hossein Deldari, Ravi Reddy, Alexey L. Lastovetsky:
Hierarchical multicore thread mapping via estimation of remote communication. J. Supercomput. 74(3): 1321-1340 (2018) - [j10]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): 2176-2190 (2018) - [c19]Semyon Khokhriakov, Ravi Reddy Manumachu, Alexey L. Lastovetsky:
Performance Optimization of Multithreaded 2D FFT on Multicore Processors: Challenges and Solution Approaches. HiPC Workshops 2018: 8-17 - [c18]Alexey L. Lastovetsky, Muhammad Fahad, Hamidreza Khaleghzadeh, Semyon Khokhriakov, Ravi Reddy, Arsalan Shahid, Lukasz Szustak, Roman Wyrzykowski:
How Pre-multicore Methods and Algorithms Perform in Multicore Era. ISC Workshops 2018: 527-539 - [i3]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 abs/1808.05056 (2018) - [i2]Semyon Khokhriakov, Ravi Reddy, Alexey L. Lastovetsky:
Novel Model-based Methods for Performance Optimization of Multithreaded 2D Discrete Fourier Transform on Multicore Processors. CoRR abs/1808.05405 (2018) - 2017
- [j9]Kenneth O'Brien, Ilia Pietri, Ravi Reddy, Alexey L. Lastovetsky, Rizos Sakellariou:
A Survey of Power and Energy Predictive Models in HPC Systems and Applications. ACM Comput. Surv. 50(3): 37:1-37:38 (2017) - [j8]Arsalan Shahid, Muhammad Fahad, Ravi Reddy, Alexey L. Lastovetsky:
Additivity: A Selection Criterion for Performance Events for Reliable Energy Predictive Modeling. Supercomput. Front. Innov. 4(4): 50-65 (2017) - [j7]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): 1119-1133 (2017) - 2011
- [i1]Alexey L. Lastovetsky, Ravi Reddy, Vladimir Rychkov, David Clarke:
Design and implementation of self-adaptable parallel algorithms for scientific computing on highly heterogeneous HPC platforms. CoRR abs/1109.3074 (2011) - 2010
- [c16]Pedro Alonso, Ravi Reddy, Alexey L. Lastovetsky:
Experimental Study of Six Different Implementations of Parallel Matrix Multiplication on Heterogeneous Computational Clusters of Multicore Processors. PDP 2010: 263-270 - 2009
- [j6]Ravi Reddy, Alexey L. Lastovetsky, Pedro Alonso:
HeteroPBLAS: A Set of Parallel Basic Linear Algebra Subprograms Optimized for Heterogeneous Computational Clusters. Scalable Comput. Pract. Exp. 10(2) (2009) - [c15]Alexey L. Lastovetsky, Ravi Reddy:
Distributed Data Partitioning for Heterogeneous Processors Based on Partial Estimation of Their Functional Performance Models. Euro-Par Workshops 2009: 91-101 - [c14]Alexey L. Lastovetsky, Ravi Reddy:
Two-Dimensional Matrix Partitioning for Parallel Computing on Heterogeneous Processors Based on Their Functional Performance Models. Euro-Par Workshops 2009: 112-121 - [c13]Ravi Reddy Manumachu, Alexey L. Lastovetsky, Pedro Alonso:
Parallel solvers for dense linear systems for heterogeneous computational clusters. IPDPS 2009: 1-8 - 2008
- [c12]Ravi Reddy Manumachu, Alexey L. Lastovetsky, Pedro Alonso:
Scalable Dense Factorizations for Heterogeneous Computational Clusters. ISPDC 2008: 49-56 - [c11]Ravi Reddy Manumachu, Alexey L. Lastovetsky, Pedro Alonso:
Heterogeneous PBLAS: Optimization of PBLAS for Heterogeneous Computational Clusters. ISPDC 2008: 73-80 - 2007
- [j5]Alexey L. Lastovetsky, Ravi Reddy:
Data Partitioning with a Functional Performance Model of Heterogeneous Processors. Int. J. High Perform. Comput. Appl. 21(1): 76-90 (2007) - [j4]Alexey L. Lastovetsky, Ravi Reddy:
Data distribution for dense factorization on computers with memory heterogeneity. Parallel Comput. 33(12): 757-779 (2007) - [c10]Alexey L. Lastovetsky, Ravi Reddy:
A Novel Algorithm of Optimal Matrix Partitioning for Parallel Dense Factorization on Heterogeneous Processors. PaCT 2007: 261-275 - 2006
- [j3]Alexey L. Lastovetsky, Ravi Reddy:
HeteroMPI: Towards a message-passing library for heterogeneous networks of computers. J. Parallel Distributed Comput. 66(2): 197-220 (2006) - [c9]Ravi Reddy, Alexey L. Lastovetsky:
HeteroMPI+ScaLAPACK: Towards a ScaLAPACK (Dense Linear Solvers) on Heterogeneous Networks of Computers. HiPC 2006: 242-253 - [c8]Alexey L. Lastovetsky, Ravi Reddy, Robert Higgins:
Building the functional performance model of a processor. SAC 2006: 746-753 - 2005
- [j2]Alexey L. Lastovetsky, Ravi Reddy:
Data partitioning for multiprocessors with memory heterogeneity and memory constraints. Sci. Program. 13(2): 93-112 (2005) - [c7]Alexey L. Lastovetsky, Ravi Reddy:
A Variable Group Block Distribution Strategy for Dense Factorizations on Networks of Heterogeneous Computers. PPAM 2005: 1074-1081 - 2004
- [j1]Alexey L. Lastovetsky, Ravi Reddy:
On performance analysis of heterogeneous parallel algorithms. Parallel Comput. 30(11): 1195-1216 (2004) - [c6]Alexey L. Lastovetsky, Ravi Reddy:
Data Partitioning with a Realistic Performance Model of Networks of Heterogeneous Computers. IPDPS 2004 - [c5]Alexey L. Lastovetsky, Ravi Reddy:
Data Partitioning with a Realistic Performance Model of Networks of Heterogeneous Computers with Task Size Limits. ISPDC/HeteroPar 2004: 133-140 - 2003
- [c4]Alexey L. Lastovetsky, Ravi Reddy:
HMPI: Towards a Message-Passing Library for Heterogeneous Networks of Computers. IPDPS 2003: 102 - [c3]Alexey L. Lastovetsky, Ravi Reddy:
An Approach to Assessment of Heterogeneous Parallel Algorithms. PaCT 2003: 117-129 - [c2]Alexey L. Lastovetsky, Ravi Reddy:
Classification of Partitioning Problems for Networks of Heterogeneous Computers. PPAM 2003: 921-929
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