Ermal Rrapaj

According to our database, Ermal Rrapaj authored at least 15 papers between 2021 and 2026.

Collaborative distances:

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

2026

Quantum-HPC Software Stacks and the openQSE Reference Architecture: A Survey.

Amir Shehata, Brian Austin, Thomas L. Beck, Lukas Burgholzer, Alex Chernoguzov, Spencer Churchill, Andrea Delgado, Yasuko Eckert, Jeffery Heckey, Kevin Kissell, Katherine Klymko, Josh Moles, Thomas J. Naughton, Lee James O'Riordan, Christian Ortiz Pauyac, Guen Prawiroatmodjo, Ermal Rrapaj, Jiri Schindler, Laura Brandon Schulz, Sebastian Stern, Tyler Takeshita, Miwako Tsuji, Aleksander Wennersteen, Travis S. Humble, Martin Schulz

CoRR, April, 2026

QTurbo: A Robust and Efficient Compiler for Analog Quantum Simulation.

Junyu Zhou, Yuhao Liu, Shize Che, Anupam Mitra, Efekan Kökcü, Ermal Rrapaj, Costin Iancu, Gushu Li

Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

2025

A Global Perspective on Supercomputer Power Provisioning: Case Studies from United States and Europe.

Tapasya Patki, Barry Rountree, Torsten Wilde, Andrea Bartolini, Stephanie Brink, Esa Heiskanen, Sachin Idgunji, Matthias Maiterth, James H. Rogers, Ermal Rrapaj, Ralf Schneider, Woong Shin, Kathleen Shoga, Christian Simmendinger, Nicholas J. Wright, Zhengji Zhao

Proceedings of the 39th ACM International Conference on Supercomputing, 2025

HATT: Hamiltonian Adaptive Ternary Tree for Optimizing Fermion-to-Qubit Mapping.

Yuhao Liu, Kevin Yao, Jonathan Hong, Julien Froustey, Ermal Rrapaj, Costin Iancu, Gushu Li, Yunong Shi

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

Model Consistency as a Cheap yet Predictive Proxy for LLM Elo Scores.

Ashwin Ramaswamy, Nestor Demeure, Ermal Rrapaj

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Classical optimization with imaginary time block encoding on quantum computers: The MaxCut problem.

Dawei Zhong, Akhil Francis, Ermal Rrapaj

CoRR, 2024

Ternary Tree Fermion-to-Qubit Mapping with Hamiltonian Aware Optimization.

Yuhao Liu, Kevin Yao, Jonathan Hong, Julien Froustey, Yunong Shi, Ermal Rrapaj, Costin Iancu, Gushu Li

CoRR, 2024

Power Consumption Trends in Supercomputers: A Study of NERSC's Cori and Perlmutter Machines.

Ermal Rrapaj, Sridutt Bhalachandra, Zhengji Zhao, Brian Austin, Hai Ah Nam, Nicholas J. Wright

Proceedings of the ISC High Performance 2024 Research Paper Proceedings (39th International Conference), 2024

Evaluation of the Classical Hardware Requirements for Large-Scale Quantum Computations.

Daan Camps, Ermal Rrapaj, Katherine Klymko, Brian Austin, Nicholas J. Wright

Proceedings of the ISC High Performance 2024 Research Paper Proceedings (39th International Conference), 2024

Understanding VASP Power Profiles on NVIDIA A100 GPUs.

Zhengji Zhao, Brian Austin, Ermal Rrapaj, Nicholas J. Wright

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

Comprehensive Performance Modeling and System Design Insights for Foundation Models.

Shashank Subramanian, Ermal Rrapaj, Peter Harrington, Smeet Chheda, Steven Farrell, Brian Austin, Samuel Williams, Nicholas J. Wright, Wahid Bhimji

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

2023

Less is More! A slim architecture for optimal language translation.

Luca Herranz-Celotti, Ermal Rrapaj

CoRR, 2023

Power Analysis of NERSC Production Workloads.

Zhengji Zhao, Ermal Rrapaj, Sridutt Bhalachandra, Brian Austin, Hai Ah Nam, Nicholas J. Wright

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Comparing Power Signatures of HPC Workloads: Machine Learning vs Simulation.

Anish Govind, Sridutt Bhalachandra, Zhengji Zhao, Ermal Rrapaj, Brian Austin, Hai Ah Nam

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

2021

Prediction and compression of lattice QCD data using machine learning algorithms on quantum annealer.

Boram Yoon, Chia-Cheng Chang, Garrett T. Kenyon, Nga T. T. Nguyen, Ermal Rrapaj

CoRR, 2021