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2020 – today
- 2022
[c11]Thomas Applencourt, Abhishek Bagusetty, Ajay Panyala, Aksel Alpay
:
SYCL Concurrency on GPU Platforms: Empirical Measurement. IWOCL 2022: 31:1- [c10]Abhishek Bagusetty, Ajay Panyala, Gordon Brown, Jack Kirk:
Towards Cross-Platform Portability of Coupled-Cluster Methods with Perturbative Triples using SYCL. P3HPC@SC 2022: 81-88 - [i3]Erdal Mutlu, Ajay Panyala, Karol Kowalski, Nicholas P. Bauman, Bo Peng, Jiri Brabec, Sriram Krishnamoorthy:
TAMM: Tensor Algebra for Many-body Methods. CoRR abs/2201.01257 (2022) - 2021
- [j4]Bo Peng, Ajay Panyala, Karol Kowalski, Sriram Krishnamoorthy:
GFCCLib: Scalable and efficient coupled-cluster Green's function library for accurately tackling many-body electronic structure problems. Comput. Phys. Commun. 265: 108000 (2021) - [c9]S. M. Ferdous, Alex Pothen, Arif Khan, Ajay Panyala, Mahantesh Halappanavar:
A Parallel Approximation Algorithm for Maximizing Submodular b-Matching. ACDA 2021: 45-56 - [i2]S. M. Ferdous, Alex Pothen, Arif Khan, Ajay Panyala, Mahantesh Halappanavar:
A Parallel Approximation Algorithm for Maximizing Submodular b-Matching. CoRR abs/2107.05793 (2021) - 2020
- [c8]Jinsung Kim, Ajay Panyala, Bo Peng, Karol Kowalski, P. Sadayappan, Sriram Krishnamoorthy:
Scalable heterogeneous execution of a coupled-cluster model with perturbative triples. SC 2020: 79
2010 – 2019
- 2019
- [c7]Jinsung Kim, Aravind Sukumaran-Rajam, Vineeth Thumma, Sriram Krishnamoorthy, Ajay Panyala, Louis-Noël Pouchet, Atanas Rountev, P. Sadayappan:
A Code Generator for High-Performance Tensor Contractions on GPUs. CGO 2019: 85-95 - 2018
- [c6]Jinsung Kim, Aravind Sukumaran-Rajam, Changwan Hong, Ajay Panyala, Rohit Kumar Srivastava, Sriram Krishnamoorthy, P. Sadayappan:
Optimizing Tensor Contractions in CCSD(T) for Efficient Execution on GPUs. ICS 2018: 96-106 - [c5]Jyothi Vedurada, Arjun Suresh, Aravind Sukumaran-Rajam, Jinsung Kim, Changwan Hong, Ajay Panyala, Sriram Krishnamoorthy, V. Krishna Nandivada, Rohit Kumar Srivastava, P. Sadayappan:
TTLG - An Efficient Tensor Transposition Library for GPUs. IPDPS 2018: 578-588 - [c4]Erdal Mutlu, Ajay Panyala, Sriram Krishnamoorthy:
HPC Software Verification in Action: A Case Study with Tensor Transposition. CORRECTNESS@SC 2018: 9-16 - 2017
- [j3]Ajay Panyala, Daniel G. Chavarría-Miranda, Joseph B. Manzano, Antonino Tumeo, Mahantesh Halappanavar:
Exploring performance and energy tradeoffs for irregular applications: A case study on the Tilera many-core architecture. J. Parallel Distributed Comput. 104: 234-251 (2017) - [j2]Hao Lu, Mahantesh Halappanavar, Daniel G. Chavarría-Miranda, Assefaw Hadish Gebremedhin, Ajay Panyala, Ananth Kalyanaraman:
Algorithms for Balanced Graph Colorings with Applications in Parallel Computing. IEEE Trans. Parallel Distributed Syst. 28(5): 1240-1256 (2017) - [c3]Ajay Panyala, Omer Subasi, Mahantesh Halappanavar, Ananth Kalyanaraman, Daniel G. Chavarría-Miranda, Sriram Krishnamoorthy:
Approximate Computing Techniques for Iterative Graph Algorithms. HiPC 2017: 23-32 - [i1]Richard Allen White III, Ajay Panyala, Kevin Glass, Sean Colby, Kurt R. Glaesemann, Christer Jansson, Janet K. Jansson:
MerCat: a versatile k-mer counter and diversity estimator for database-independent property analysis obtained from metagenomic and/or metatranscriptomic sequencing data. PeerJ Prepr. 5: e2825 (2017) - 2015
- [j1]Daniel G. Chavarría-Miranda, Ajay Panyala, Wenjing Ma, Adrian Prantl, Sriram Krishnamoorthy:
Global transformations for legacy parallel applications via structural analysis and rewriting. Parallel Comput. 43: 1-26 (2015) - [c2]Daniel G. Chavarría-Miranda, Ajay Panyala, Mahantesh Halappanavar, Joseph B. Manzano, Antonino Tumeo:
Optimizing irregular applications for energy and performance on the Tilera many-core architecture. Conf. Computing Frontiers 2015: 12:1-12:8 - 2012
- [c1]Ajay Panyala, Daniel G. Chavarría-Miranda, Sriram Krishnamoorthy:
On the Use of Term Rewriting for Performance Ooptimization of Legacy HPC Applications. ICPP 2012: 399-409
Coauthor Index
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