Dmitry I. Lyakh

According to our database, Dmitry I. Lyakh authored at least 20 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Exceeding the Numerical and Performance Characteristics of IEEE-754 SGEMM with BFloat16 Tensor Cores on GPUs for Scientific Computing.

Harun Bayraktar, Cole Brower, John A. Gunnels, Greg Henry, Cherin Joseph, Jack Kosaian, Dmitry I. Lyakh, Lukas Mosimann, Victor Podlozhnyuk, Addison Richards, Paul Springer, Haicheng Wu

CoRR, May, 2026

2024

Parallel quantum computing simulations via quantum accelerator platform virtualization.

Daniel Claudino, Dmitry I. Lyakh, Alexander J. McCaskey

Future Gener. Comput. Syst., 2024

2023

Tensor Network Quantum Virtual Machine for Simulating Quantum Circuits at Exascale.

Thien Nguyen, Dmitry I. Lyakh, Eugene F. Dumitrescu, David Glenn Clark, Jeff Larkin, Alexander J. McCaskey

ACM Trans. Quantum Comput., March, 2023

A Backend-agnostic, Quantum-classical Framework for Simulations of Chemistry in C++.

Daniel Claudino, Alexander J. McCaskey, Dmitry I. Lyakh

ACM Trans. Quantum Comput., March, 2023

cuQuantum SDK: A High-Performance Library for Accelerating Quantum Science.

Harun Bayraktar, Ali Charara, David Clark, Saul Cohen, Timothy B. Costa, Yao-Lung L. Fang, Yang Gao, Jack Guan, John A. Gunnels, Azzam Haidar, Andreas Hehn, Markus Höhnerbach, Matthew Jones, Tom Lubowe, Dmitry I. Lyakh, Shinya Morino, Paul Springer, Sam Stanwyck, Igor Terentyev, Satya Varadhan, Jonathan Wong, Takuma Yamaguchi

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

2022

ExaTN: Scalable GPU-Accelerated High-Performance Processing of General Tensor Networks at Exascale.

Dmitry I. Lyakh, Thien Nguyen, Daniel Claudino, Eugene F. Dumitrescu, Alexander J. McCaskey

Frontiers Appl. Math. Stat., 2022

2021

QuaSiMo: A composable library to program hybrid workflows for quantum simulation.

Thien Nguyen, Lindsay Bassman Oftelie, Phillip C. Lotshaw, Dmitry I. Lyakh, Alexander J. McCaskey, Vicente Leyton-Ortega, Raphael C. Pooser, Wael R. Elwasif, Travis S. Humble, Wibe A. de Jong

IET Quantum Commun., December, 2021

Quantum Computers for High-Performance Computing.

Travis S. Humble, Alexander J. McCaskey, Dmitry I. Lyakh, Meenambika Gowrishankar, Albert Frisch, Thomas Monz

IEEE Micro, 2021

Quantum Circuit Transformations with a Multi-Level Intermediate Representation Compiler.

Thien Nguyen, Dmitry I. Lyakh, Raphael C. Pooser, Travis S. Humble, Timothy Proctor, Mohan Sarovar

CoRR, 2021

Composable Programming of Hybrid Workflows for Quantum Simulation.

Thien Nguyen, Lindsay Bassman Oftelie, Dmitry I. Lyakh, Alexander J. McCaskey, Vicente Leyton-Ortega, Raphael C. Pooser, Wael R. Elwasif, Travis S. Humble, Wibe A. de Jong

Proceedings of the 18th IEEE International Conference on Software Architecture Companion, 2021

2020

Pre-exascale accelerated application development: The ORNL Summit experience.

Lixiang Luo, Tjerk P. Straatsma, Luis Enrique Aguilar-Suárez, Ria Broer, Dmytro Bykov, Eduardo F. D'Azevedo, Shirin S. Faraji, Kalyana C. Gottiparthi, Coen de Graaf, James Austin Harris, Remco W. A. Havenith, Hans Jørgen Aagard Jensen, Wayne Joubert, R. K. Kathir, Jeff Larkin, Ying Wai Li, Dmitry I. Lyakh, O. E. Bronson Messer, Matthew R. Norman, Joseph C. Oefelein, Ramanan Sankaran, Andreas F. Tillack, Ashleigh L. Barnes, Lucas Visscher, Jack C. Wells, Meilani Wibowo

IBM J. Res. Dev., 2020

Really Embedding Domain-Specific Languages into C++.

Hal Finkel, Alexander J. McCaskey, Tobi Popoola, Dmitry I. Lyakh, Johannes Doerfert

CoRR, 2020

2019

XACC: A System-Level Software Infrastructure for Heterogeneous Quantum-Classical Computing.

Alexander J. McCaskey, Dmitry I. Lyakh, Eugene F. Dumitrescu, Sarah S. Powers, Travis S. Humble

CoRR, 2019

Establishing the Quantum Supremacy Frontier with a 281 Pflop/s Simulation.

Benjamin Villalonga, Dmitry I. Lyakh, Sergio Boixo, Hartmut Neven, Travis S. Humble, Rupak Biswas, Eleanor Gilbert Rieffel, Alan K. Ho, Salvatore Mandrà

CoRR, 2019

2018

A language and hardware independent approach to quantum-classical computing.

Alexander J. McCaskey, Eugene F. Dumitrescu, Dmitry I. Lyakh, M. Chen, W. Feng, Travis S. Humble

SoftwareX, 2018

Hybrid Programming for Near-Term Quantum Computing Systems.

Alexander J. McCaskey, Eugene F. Dumitrescu, Dmitry I. Lyakh, Travis S. Humble

Proceedings of the 2018 IEEE International Conference on Rebooting Computing, 2018

2017

Massively parallel and linear-scaling algorithm for second-order Møller-Plesset perturbation theory applied to the study of supramolecular wires.

Thomas Kjærgaard, Pablo Baudin, Dmytro Bykov, Janus Juul Eriksen, Patrick Ettenhuber, Kasper Kristensen, Jeff Larkin, Dmitry I. Lyakh, Filip Pawlowski, Aaron Vose, Yang Min Wang, Poul Jørgensen

Comput. Phys. Commun., 2017

cuTT: A High-Performance Tensor Transpose Library for CUDA Compatible GPUs.

Antti-Pekka Hynninen, Dmitry I. Lyakh

CoRR, 2017

Aces4: A Platform for Computational Chemistry Calculations with Extremely Large Block-Sparse Arrays.

Beverly A. Sanders, Jason N. Byrd, Nakul Jindal, Victor F. Lotrich, Dmitry I. Lyakh, Ajith Perera, Rodney J. Bartlett

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

2015

An efficient tensor transpose algorithm for multicore CPU, Intel Xeon Phi, and NVidia Tesla GPU.

Dmitry I. Lyakh

Comput. Phys. Commun., 2015