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Ravi Reddy
Ravi Reddy Manumachu
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- affiliation: University College Dublin, Ireland
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2020 – today
- 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
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
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
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
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
Energy Predictive Models of Computing: Theory, Practical Implications and Experimental Analysis on Multicore Processors. IEEE Access 9: 63149-63172 (2021) - [j24]Arsalan Shahid
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
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
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
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
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
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
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
A novel data partitioning algorithm for dynamic energy optimization on heterogeneous high-performance computing platforms. Concurr. Comput. Pract. Exp. 32(21) (2020) - [e2]Ulrich Schwardmann
Euro-Par 2019: Parallel Processing Workshops - Euro-Par 2019 International Workshops, Göttingen, Germany, August 26-30, 2019, Revised Selected Papers. Lecture Notes in Computer Science 11997, Springer 2020, ISBN 978-3-030-48339-5 [contents]
2010 – 2019
- 2019
- [j17]Ravi Reddy Manumachu
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
A Survey of Communication Performance Models for High-Performance Computing. ACM Comput. Surv. 51(6): 126:1-126:36 (2019) - [c22]Hamidreza Khaleghzadeh
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
SummaGen: Parallel Matrix-Matrix Multiplication Based on Non-rectangular Partitions for Heterogeneous HPC Platforms. IPDPS Workshops 2019: 57-68 - [c20]Arsalan Shahid
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
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
Energy aware ultrascale systems. Ultrascale Computing Systems 2019: 127-188 - [e1]Gabriele Mencagli, Dora B. Heras, Valeria Cardellini, Emiliano Casalicchio, Emmanuel Jeannot, Felix Wolf, Antonio Salis
Euro-Par 2018: Parallel Processing Workshops - Euro-Par 2018 International Workshops, Turin, Italy, August 27-28, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11339, Springer 2019, ISBN 978-3-030-10548-8 [contents] - [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
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
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
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
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
Out-of-core implementation for accelerator kernels on heterogeneous clouds. J. Supercomput. 74(2): 551-568 (2018) - [j11]Hamidreza Khaleghzadeh
Hierarchical multicore thread mapping via estimation of remote communication. J. Supercomput. 74(3): 1321-1340 (2018) - [j10]Hamidreza Khaleghzadeh
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
Performance Optimization of Multithreaded 2D FFT on Multicore Processors: Challenges and Solution Approaches. HiPC Workshops 2018: 8-17 - [c18]Alexey L. Lastovetsky
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
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
Additivity: A Selection Criterion for Performance Events for Reliable Energy Predictive Modeling. Supercomput. Front. Innov. 4(4): 50-65 (2017) - [j7]Alexey L. Lastovetsky
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) - 2016
- [c17]Navid Resalat, Joseph El Youssef, Ravi Reddy, Peter G. Jacobs:
Design of a dual-hormone model predictive control for artificial pancreas with exercise model. EMBC 2016: 2270-2273 - 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
Experimental Study of Six Different Implementations of Parallel Matrix Multiplication on Heterogeneous Computational Clusters of Multicore Processors. PDP 2010: 263-270
2000 – 2009
- 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
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
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
Parallel solvers for dense linear systems for heterogeneous computational clusters. IPDPS 2009: 1-8 - 2008
- [c12]Ravi Reddy Manumachu
Scalable Dense Factorizations for Heterogeneous Computational Clusters. ISPDC 2008: 49-56 - [c11]Ravi Reddy Manumachu
Heterogeneous PBLAS: Optimization of PBLAS for Heterogeneous Computational Clusters. ISPDC 2008: 73-80 - 2007
- [j5]Alexey L. Lastovetsky
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
Data distribution for dense factorization on computers with memory heterogeneity. Parallel Comput. 33(12): 757-779 (2007) - [c10]Alexey L. Lastovetsky
A Novel Algorithm of Optimal Matrix Partitioning for Parallel Dense Factorization on Heterogeneous Processors. PaCT 2007: 261-275 - 2006
- [j3]Alexey L. Lastovetsky
HeteroMPI: Towards a message-passing library for heterogeneous networks of computers. J. Parallel Distributed Comput. 66(2): 197-220 (2006) - [c9]Ravi Reddy
HeteroMPI+ScaLAPACK: Towards a ScaLAPACK (Dense Linear Solvers) on Heterogeneous Networks of Computers. HiPC 2006: 242-253 - [c8]Alexey L. Lastovetsky
Building the functional performance model of a processor. SAC 2006: 746-753 - 2005
- [j2]Alexey L. Lastovetsky
Data partitioning for multiprocessors with memory heterogeneity and memory constraints. Sci. Program. 13(2): 93-112 (2005) - [c7]Alexey L. Lastovetsky
A Variable Group Block Distribution Strategy for Dense Factorizations on Networks of Heterogeneous Computers. PPAM 2005: 1074-1081 - 2004
- [j1]Alexey L. Lastovetsky
On performance analysis of heterogeneous parallel algorithms. Parallel Comput. 30(11): 1195-1216 (2004) - [c6]Alexey L. Lastovetsky
Data Partitioning with a Realistic Performance Model of Networks of Heterogeneous Computers. IPDPS 2004 - [c5]Alexey L. Lastovetsky
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
HMPI: Towards a Message-Passing Library for Heterogeneous Networks of Computers. IPDPS 2003: 102 - [c3]Alexey L. Lastovetsky
An Approach to Assessment of Heterogeneous Parallel Algorithms. PaCT 2003: 117-129 - [c2]Alexey L. Lastovetsky
Classification of Partitioning Problems for Networks of Heterogeneous Computers. PPAM 2003: 921-929 - 2000
- [c1]Yohan Rajan, Ravi Reddy, Srikanth Thoranam, Akash Bhatia:
A phased approach towards an open standards based, highly available, scalable architecture with asynchronous message processing. NOMS 2000: 411-424
Coauthor Index
[j30] [j29] [j28] [j27] [j26] [c24] [i7] [j25] [j24] [j23] [c23] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [c22] [c21] [c20] [p2] [p1] [i6] [i5] [i4] [j15] [j14] [j13] [j12] [j11] [j10] [c19] [c18] [i3] [i2] [j9] [j8] [j7] [i1] [c16] [j6] [c15] [c14] [c13] [c12] [c11] [j5] [j4] [c10] [j3] [c9] [c8] [j2] [c7] [j1] [c6] [c5] [c4] [c3] [c2]
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last updated on 2024-06-10 20:32 CEST by the dblp team
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