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2020 – today
- 2024
[c4]Daan Camps, Ermal Rrapaj, Katherine Klymko, Brian Austin, Nicholas J. Wright:
Evaluation of the Classical Hardware Requirements for Large-Scale Quantum Computations. ISC 2024: 1-12- [c3]Ermal Rrapaj, Sridutt Bhalachandra, Zhengji Zhao, Brian Austin, Hai Ah Nam, Nicholas J. Wright:
Power Consumption Trends in Supercomputers: A Study of NERSC's Cori and Perlmutter Machines. ISC 2024: 1-10 - [i4]Yuhao Liu, Kevin Yao, Jonathan Hong, Julien Froustey, Yunong Shi, Ermal Rrapaj, Costin Iancu, Gushu Li:
Ternary Tree Fermion-to-Qubit Mapping with Hamiltonian Aware Optimization. CoRR abs/2409.02010 (2024) - [i3]Shashank Subramanian, Ermal Rrapaj, Peter Harrington, Smeet Chheda, Steven Farrell, Brian Austin, Samuel Williams, Nicholas J. Wright, Wahid Bhimji:
Comprehensive Performance Modeling and System Design Insights for Foundation Models. CoRR abs/2410.00273 (2024) - 2023
- [c2]Zhengji Zhao
, Ermal Rrapaj, Sridutt Bhalachandra, Brian Austin, Hai Ah Nam, Nicholas J. Wright:
Power Analysis of NERSC Production Workloads. SC Workshops 2023: 1279-1287 - [c1]Anish Govind, Sridutt Bhalachandra, Zhengji Zhao, Ermal Rrapaj, Brian Austin, Hai Ah Nam:
Comparing Power Signatures of HPC Workloads: Machine Learning vs Simulation. SC Workshops 2023: 1890-1893 - [i2]Luca Herranz-Celotti, Ermal Rrapaj:
Less is More! A slim architecture for optimal language translation. CoRR abs/2305.10991 (2023) - 2021
- [i1]Boram Yoon, Chia-Cheng Chang, Garrett T. Kenyon, Nga T. T. Nguyen, Ermal Rrapaj:
Prediction and compression of lattice QCD data using machine learning algorithms on quantum annealer. CoRR abs/2112.02120 (2021)
Coauthor Index
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