Adrián Pérez Diéguez

21 papers A 1C 3Misc 1Journal 11Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Parallelizing autotuning for HPC applications: Unveiling the potential of the speculation strategy in Bayesian optimization.
Int. J. High Perform. Comput. Appl.
Adrián Pérez Diéguez, Seth Ockerman, Tristan Aikman, Younghyun Cho, Yang Liu, Khaled Z. Ibrahim
2025 — conf
Pretraining LLMs at Scale: Tuning Strategies and Performance Portability.
SC Workshops
Adrián Pérez Diéguez, Alex Batlle Casellas, Aleix Torres-Camps, Harris Teague, Jordi Ros-Giralt
2025 — conf
Scaling LLM Training Using RDMA over Converged Ethernet.
SC Workshops
Alex Batlle Casellas, Adrián Pérez Diéguez, Aleix Torres-Camps, Harris Teague, Arnau Padrés Masdemont, Jordi Ros-Giralt
2025 J jnl
VAN-DAMME: GPU-accelerated and symmetry-assisted quantum optimal control of multi-qubit systems.
Comput. Phys. Commun.
Jose M. Rodriguez Borbon, Xian Wang, Adrián Pérez Diéguez, Khaled Z. Ibrahim, Bryan M. Wong
2024 — conf
Cost-Effective Methodology for Complex Tuning Searches in HPC: Navigating Interdependencies and Dimensionality.
IPDPS (Workshops)
Adrián Pérez Diéguez, Min Choi, Mahmut Okyay, Mauro Del Ben, Bryan M. Wong, Khaled Z. Ibrahim
2024 J jnl
Cost-Effective Methodology for Complex Tuning Searches in HPC: Navigating Interdependencies and Dimensionality.
CoRR
Adrián Pérez Diéguez, Min Choi, Mahmut Okyay, Mauro Del Ben, Bryan M. Wong, Khaled Z. Ibrahim
2024 J jnl
QRCODE: Massively parallelized real-time time-dependent density functional theory for periodic systems.
Comput. Phys. Commun.
Min Choi, Mahmut Okyay, Adrián Pérez Diéguez, Mauro Del Ben, Khaled Z. Ibrahim, Bryan M. Wong
2024 J jnl
TRAVOLTA: GPU acceleration and algorithmic improvements for constructing quantum optimal control fields in photo-excited systems.
Comput. Phys. Commun.
Jose M. Rodriguez Borbon, Xian Wang, Adrián Pérez Diéguez, Khaled Z. Ibrahim, Bryan M. Wong
2023 C conf
Performance Tuning for GPU-Embedded Systems: Machine-Learning-Based and Analytical Model-Driven Tuning Methodologies.
SBAC-PAD
Adrián Pérez Diéguez, Margarita Amor López
2023 J jnl
Performance Tuning for GPU-Embedded Systems: Machine-Learning-based and Analytical Model-driven Tuning Methodologies.
CoRR
Adrián Pérez Diéguez, Margarita Amor López
2022 J jnl
Efficient high-precision integer multiplication on the GPU.
Int. J. High Perform. Comput. Appl.
Adrián Pérez Diéguez, Margarita Amor, Ramón Doallo, Akira Nukada, Satoshi Matsuoka
2022 — conf
ML-based Performance Portability for Time-Dependent Density Functional Theory in HPC Environments.
PMBS@SC
Adrián Pérez Diéguez, Min Choi, Xinran Zhu, Bryan M. Wong, Khaled Z. Ibrahim
2019 J jnl
Parallel prefix operations on GPU: tridiagonal system solvers and scan operators.
J. Supercomput.
Adrián Pérez Diéguez, Margarita Amor, Ramón Doallo
2019 J jnl
Tree Partitioning Reduction: A New Parallel Partition Method for Solving Tridiagonal Systems.
ACM Trans. Math. Softw.
Adrián Pérez Diéguez, Margarita Amor, Ramón Doallo
2018 A conf
Efficient Solving of Scan Primitive on Multi-GPU Systems.
IPDPS
Adrián Pérez Diéguez, Margarita Amor, Ramon Doallo, Akira Nukada, Satoshi Matsuoka
2018 — —
Parallel prefix operations on heterogeneous platforms.
Adrián Pérez Diéguez
2018 J jnl
Solving Large Problem Sizes of Index-Digit Algorithms on GPU: FFT and Tridiagonal System Solvers.
IEEE Trans. Computers
Adrián Pérez Diéguez, Margarita Amor, Jacobo Lobeiras, Ramon Doallo
2018 C conf
Solving Multiple Tridiagonal Systems on a Multi-GPU Platform.
PDP
Adrián Pérez Diéguez, Margarita Amor López, Ramón Doallo Biempica
2017 J jnl
BPLG-BMCS: GPU-sorting algorithm using a tuning skeleton library.
J. Supercomput.
Adrián Pérez Diéguez, Margarita Amor, Ramón Doallo
2015 Misc conf
New Tridiagonal Systems Solvers on GPU Architectures.
HiPC
Adrián Pérez Diéguez, Margarita Amor, Ramon Doallo
2014 C conf
Efficient Scan Operator Methods on a GPU.
SBAC-PAD
Adrián Pérez Diéguez, Margarita Amor, Ramon Doallo