A GPU-Based Implementation for Range Queries on Spaghettis Data Structure. - Roberto Uribe Paredes; Pedro Valero-Lara; Enrique Arias 001; José L. Sánchez 002; Diego Cazorla (ICCSA (1), 2011)

Towards a More Efficient Use of GPUs. - Pedro Valero-Lara; Fernando L. Pelayo (ICCSA Workshops, 2011)

Similarity search implementations for multi-core and many-core processors. - Roberto Uribe Paredes; Pedro Valero-Lara; Enrique Arias 001; José L. Sánchez 002; Diego Cazorla (HPCS, 2011)

A GPU-based implementation of the MRF algorithm in ITK package. - Pedro Valero-Lara; José L. Sánchez 002; Diego Cazorla; Enrique Arias 001 (J. Supercomput., 2011)

Improving the Performance for the Range Search on Metric Spaces Using a Multi-GPU Platform. - Roberto Uribe Paredes; Enrique Arias 001; José L. Sánchez 002; Diego Cazorla; Pedro Valero-Lara (DEXA (2), 2012)

MRF Satellite Image Classification on GPU. - Pedro Valero-Lara (ICPP Workshops, 2012)

Block Tridiagonal Solvers on Heterogeneous Architectures. - Pedro Valero-Lara; Alfredo Pinelli; Julien Favier; Manuel Prieto-Matías (ISPA, 2012)

Analysis in performance and new model for multiple kernels executions on many-core architectures. - Pedro Valero-Lara; Fernando L. Pelayo (ICCI*CC, 2013)

GPU Powered ROSA Analyzer. - Raúl Pardo; Fernando L. Pelayo; Pedro Valero-Lara (ICPP, 2013)

A GPU approach for accelerating 3D deformable registration (DARTEL) on brain biomedical images. - Pedro Valero-Lara (EuroMPI, 2013)

Multi-GPU acceleration of DARTEL (early detection of Alzheimer). - Pedro Valero-Lara (CLUSTER, 2014)

Accelerating Solid-fluid Interaction using Lattice-boltzmann and Immersed Boundary Coupled Simulations on Heterogeneous Platforms. - Pedro Valero-Lara; Alfredo Pinelli; Manuel Prieto-Matías (ICCS, 2014)

hLCS. A Hybrid GPGPU Approach for Solving Multiple Short and Unbalanced LCS Problems. - Pedro Valero-Lara (ICCSA (6), 2014)

Fast finite difference Poisson solvers on heterogeneous architectures. - Pedro Valero-Lara; Alfredo Pinelli; Manuel Prieto-Matías (Comput. Phys. Commun., 2014)

Accelerating solid-fluid interaction based on the immersed boundary method on multicore and GPU architectures. - Pedro Valero-Lara (J. Supercomput., 2014)

LBM-HPC - An Open-Source Tool for Fluid Simulations. Case Study: Unified Parallel C (UPC-PGAS). - Pedro Valero-Lara; Johan Jansson (CLUSTER, 2015)

Multi-domain Grid Refinement for Lattice-Boltzmann Simulations on Heterogeneous Platforms. - Pedro Valero-Lara; Johan Jansson (CSE, 2015)

A Non-uniform Staggered Cartesian Grid Approach for Lattice-boltzmann Method. - Pedro Valero-Lara; Johan Jansson (ICCS, 2015)

Accelerating fluid-solid simulations (Lattice-Boltzmann & Immersed-Boundary) on heterogeneous architectures. - Pedro Valero-Lara; Francisco D. Igual; Manuel Prieto-Matías; Alfredo Pinelli; Julien Favier (J. Comput. Sci., 2015)

Leveraging the Performance of LBM-HPC for Large Sizes on GPUs Using Ghost Cells. - Pedro Valero-Lara (ICA3PP, 2016)

Many-Task Computing on Many-Core Architectures. - Pedro Valero-Lara; Poornima Nookala; Fernando L. Pelayo; Johan Jansson; Serapheim Dimitropoulos; Ioan Raicu (Scalable Comput. Pract. Exp., 2016)

Introduction to the Special Issue on High Performance Computing Solutions for Complex Problems. - Pedro Valero-Lara; Fernando L. Pelayo; Johan Jansson (Scalable Comput. Pract. Exp., 2016)

The Design and Performance of Batched BLAS on Modern High-Performance Computing Systems. - Jack J. Dongarra; Sven Hammarling; Nicholas J. Higham; Samuel D. Relton; Pedro Valero-Lara; Mawussi Zounon (ICCS, 2017)

cuHinesBatch: Solving Multiple Hines systems on GPUs Human Brain Project*. - Pedro Valero-Lara; Ivan Martínez-Pérez; Antonio J. Peña; Xavier Martorell; Raül Sirvent; Jesús Labarta (ICCS, 2017)

Heuristics for ROSA's LTS Searching. - Fernando López Pelayo; Fernando Cuartero Gómez; Diego Cazorla; Pedro Valero-Lara; Mercedes G. Merayo (IWANN (2), 2017)

NVIDIA GPUs Scalability to Solve Multiple (Batch) Tridiagonal Systems Implementation of cuThomasBatch. - Pedro Valero-Lara; Ivan Martínez-Pérez; Raül Sirvent; Xavier Martorell; Antonio J. Peña (PPAM (1), 2017)

Reducing memory requirements for large size LBM simulations on GPUs. - Pedro Valero-Lara (Concurr. Comput. Pract. Exp., 2017)

Heterogeneous CPU+GPU approaches for mesh refinement over Lattice-Boltzmann simulations. - Pedro Valero-Lara; Johan Jansson (Concurr. Comput. Pract. Exp., 2017)

Towards HPC-Embedded. Case Study: Kalray and Message-Passing on NoC. - Pedro Valero-Lara; Ezhilmathi Krishnasamy; Johan Jansson (Scalable Comput. Pract. Exp., 2017)

Introduction to the Special Issue on High Performance Computing Solutions for Complex Problems. - Pedro Valero-Lara; Mawussi Zounon; Maksims Abalenkovs; Fernando L. Pelayo (Scalable Comput. Pract. Exp., 2017)

Variable Batched DGEMM. - Pedro Valero-Lara; Ivan Martínez-Pérez; Sergi Mateo; Raül Sirvent; Vicenç Beltran 001; Xavier Martorell; Jesús Labarta (PDP, 2018)

MPI+OpenMP Tasking Scalability for the Simulation of the Human Brain: Human Brain Project. - Pedro Valero-Lara; Raül Sirvent; Antonio J. Peña; Xavier Martorell; Jesús Labarta (EuroMPI, 2018)

cuThomasBatch and cuThomasVBatch, CUDA Routines to compute batch of tridiagonal systems on NVIDIA GPUs. - Pedro Valero-Lara; Ivan Martínez-Pérez; Raül Sirvent; Xavier Martorell; Antonio J. Peña (Concurr. Comput. Pract. Exp., 2018)

Accelerating Conjugate Gradient using OmpSs. - Sandra Catalán; Xavier Martorell; Jesús Labarta; Tetsuzo Usui; Leonel Antonio Toledo Díaz; Pedro Valero-Lara (PDCAT, 2019)

Tasking in Accelerators: Performance Evaluation. - Leonel Toledo; Antonio J. Peña; Sandra Catalán; Pedro Valero-Lara (PDCAT, 2019)

BLAS-3 Optimized by OmpSs Regions (LASs Library). - Pedro Valero-Lara; Sandra Catalán; Xavier Martorell; Jesús Labarta (PDP, 2019)

Performance Evaluation of cuDNN Convolution Algorithms on NVIDIA Volta GPUs. - Marc Jordà; Pedro Valero-Lara; Antonio J. Peña (IEEE Access, 2019)

A Fast Solver for Large Tridiagonal Systems on Multi-Core Processors (Lass Library). - Pedro Valero-Lara; Diego Andrade; Raül Sirvent; Jesús Labarta; Basilio B. Fraguela; Ramon Doallo (IEEE Access, 2019)

MPI+OpenMP tasking scalability for multi-morphology simulations of the human brain. - Pedro Valero-Lara; Raül Sirvent; Antonio J. Peña; Jesús Labarta (Parallel Comput., 2019)

Towards an Auto-Tuned and Task-Based SpMV (LASs Library). - Sandra Catalán; Tetsuzo Usui; Leonel Toledo; Xavier Martorell; Jesús Labarta; Pedro Valero-Lara (IWOMP, 2020)

sLASs: A fully automatic auto-tuned linear algebra library based on OpenMP extensions implemented in OmpSs (LASs Library). - Pedro Valero-Lara; Sandra Catalán; Xavier Martorell; Tetsuzo Usui; Jesús Labarta (J. Parallel Distributed Comput., 2020)

OpenMP Target Task: Tasking and Target Offloading on Heterogeneous Systems. - Pedro Valero-Lara; Jungwon Kim; Oscar R. Hernandez; Jeffrey S. Vetter (Euro-Par Workshops, 2021)

Static Graphs for Coding Productivity in OpenACC. - Leonel Toledo; Pedro Valero-Lara; Jeffrey S. Vetter; Antonio J. Peña (HiPC, 2021)

A Portable and Heterogeneous LU Factorization on IRIS. - Pedro Valero-Lara; Jungwon Kim; Jeffrey S. Vetter (Euro-Par Workshops, 2022)

IRIS-BLAS: Towards a Performance Portable and Heterogeneous BLAS Library. - Narasinga Rao Miniskar; Mohammad Alaul Haque Monil; Pedro Valero-Lara; Frank Liu 001; Jeffrey S. Vetter (HIPC, 2022)

SparseLU, A Novel Algorithm and Math Library for Sparse LU Factorization. - Pedro Valero-Lara; Cameron Greenwalt; Jeffrey S. Vetter (IA3@SC, 2022)

LaRIS: Targeting Portability and Productivity for LAPACK Codes on Extreme Heterogeneous Systems by Using IRIS. - Mohammad Alaul Haque Monil; Narasinga Rao Miniskar; Frank Y. Liu; Jeffrey S. Vetter; Pedro Valero-Lara (RSDHA@SC, 2022)

KokkACC: Enhancing Kokkos with OpenACC. - Pedro Valero-Lara; Seyong Lee; Marc González Tallada; Joel E. Denny; Jeffrey S. Vetter (WACCPD@SC, 2022)

cuConv: CUDA implementation of convolution for CNN inference. - Marc Jordà; Pedro Valero-Lara; Antonio J. Peña (Clust. Comput., 2022)

Propagation Pattern for Moment Representation of the Lattice Boltzmann Method. - John Gounley; Madhurima Vardhan; Erik W. Draeger; Pedro Valero-Lara; Shirley V. Moore; Amanda Randles (IEEE Trans. Parallel Distributed Syst., 2022)

IRIS-DMEM: Efficient Memory Management for Heterogeneous Computing. - Narasinga Rao Miniskar; Mohammad Alaul Haque Monil; Pedro Valero-Lara; Frank Y. Liu; Jeffrey S. Vetter (HPEC, 2023)

Evaluation of OpenAI Codex for HPC Parallel Programming Models Kernel Generation. - William F. Godoy; Pedro Valero-Lara; Keita Teranishi; Prasanna Balaprakash; Jeffrey S. Vetter (ICPP Workshops, 2023)

Evaluating performance and portability of high-level programming models: Julia, Python/Numba, and Kokkos on exascale nodes. - William F. Godoy; Pedro Valero-Lara; T. Elise Dettling; Christian Trefftz; Ian Jorquera; Thomas Sheehy; Ross G. Miller; Marc González Tallada; Jeffrey S. Vetter; Valentin Churavy (IPDPS Workshops, 2023)

(AsHES) 2023 Keynote Speaker Agnostic Programing: "Less is More". - Pedro Valero-Lara (IPDPS Workshops, 2023)

A MultiGPU Performance-Portable Solution for Array Programming Based on Kokkos. - Pedro Valero-Lara; Jeffrey S. Vetter (ARRAY@PLDI, 2023)

Tiling Framework for Heterogeneous Computing of Matrix based Tiled Algorithms. - Narasinga Rao Miniskar; Mohammad Alaul Haque Monil; Pedro Valero-Lara; Frank Liu 001; Jeffrey S. Vetter (ExHET@PPoPP, 2023)

Julia as a unifying end-to-end workflow language on the Frontier exascale system. - William F. Godoy; Pedro Valero-Lara; Caira Anderson; Katrina W. Lee; Ana Gainaru; Rafael Ferreira da Silva; Jeffrey S. Vetter (SC Workshops, 2023)

MatRIS: Multi-level Math Library Abstraction for Heterogeneity and Performance Portability using IRIS Runtime. - Mohammad Alaul Haque Monil; Narasinga Rao Miniskar; Keita Teranishi; Jeffrey S. Vetter; Pedro Valero-Lara (SC Workshops, 2023)

Mixed-Precision S/DGEMM Using the TF32 and TF64 Frameworks on Low-Precision AI Tensor Cores. - Pedro Valero-Lara; Ian Jorquera; Frank Liu 001; Jeffrey S. Vetter (SC Workshops, 2023)

Moment Representation of Regularized Lattice Boltzmann Methods on NVIDIA and AMD GPUs. - Pedro Valero-Lara; Jeffrey S. Vetter; John Gounley; Amanda Randles (SC Workshops, 2023)

Comparing Llama-2 and GPT-3 LLMs for HPC kernels generation. - Pedro Valero-Lara; Alexis Huante; Mustafa Al-Lail; William F. Godoy; Keita Teranishi; Prasanna Balaprakash; Jeffrey S. Vetter (CoRR, 2023)

sKokkos: Enabling Kokkos with Transparent Device Selection on Heterogeneous Systems using OpenACC. - Pedro Valero-Lara; Seyong Lee; Joel E. Denny; Keita Teranishi; Jeffrey S. Vetter; Marc González Tallada (HPC Asia, 2024)

IRIS-MEMFLOW: Data Flow-Enabled Portable Memory Orchestration in IRIS Runtime for Diverse Heterogeneity. - Mohammad Alaul Haque Monil; Narasinga Rao Miniskar; Seyong Lee; Beau Johnston; Pedro Valero-Lara; Aaron R. Young; Keita Teranishi; Jeffrey S. Vetter (HPEC, 2024)

JACC.shared: Leveraging HPC Metaprogramming and Performance Portability for Computations That Use Shared Memory GPUs. - Pedro Valero-Lara; William F. Godoy; Keita Teranishi; Jeffrey S. Vetter (HPEC, 2024)

eCC++ : A Compiler Construction Framework for Embedded Domain-Specific Languages. - Marc González Tallada; Joel E. Denny; Pedro Valero-Lara; Seyong Lee; Keita Teranishi; Jeffrey S. Vetter (IPDPS (Workshops), 2024)

9th IEEE International Workshop on Automatic Performance Tuning (iWAPT 2024). - Pedro Valero-Lara (IPDPS (Workshops), 2024)

Integrating ORNL's HPC and Neutron Facilities with a Performance-Portable CPU/GPU Ecosystem. - Steven E. Hahn; Philip W. Fackler; William F. Godoy; Ketan Maheshwari; Zachary Morgan; Andrei T. Savici; Christina M. Hoffmann; Pedro Valero-Lara; Jeffrey S. Vetter; Rafael Ferreira da Silva (SC Workshops, 2024)

JACC: Leveraging HPC Meta-Programming and Performance Portability with the Just-in-Time and LLVM-based Julia Language. - Pedro Valero-Lara; William F. Godoy; Het Mankad; Keita Teranishi; Jeffrey S. Vetter; Johannes P. Blaschke; Michel Schanen (SC Workshops, 2024)

ChatBLAS: The First AI-Generated and Portable BLAS Library. - Pedro Valero-Lara; William F. Godoy; Keita Teranishi; Prasanna Balaprakash; Jeffrey S. Vetter (SC Workshops, 2024)

IRIS Reimagined: Advancements in Intelligent Runtime System for Task-Based Programming. - Narasinga Rao Miniskar; Seyong Lee; Beau Johnston; Aaron R. Young; Mohammad Alaul Haque Monil; Pedro Valero-Lara; Jeffrey S. Vetter (WAMTA, 2024)

MatRIS: Addressing the Challenges for Portability and Heterogeneity Using Tasking for Matrix Decomposition (Cholesky). - Mohammad Alaul Haque Monil; Narasinga Rao Miniskar; Pedro Valero-Lara; Keita Teranishi; Jeffrey S. Vetter (WAMTA, 2024)

Interface for Sparse Linear Algebra Operations. - Ahmad Abdelfattah; Willow Ahrens; Hartwig Anzt; Chris Armstrong; Ben Brock; Aydin Buluç; Federico Busato; Terry Cojean; Timothy A. Davis 001; Jim Demmel; Grace Dinh; David Gardener; et al. (CoRR, 2024)

Large language model evaluation for high-performance computing software development. - William F. Godoy; Pedro Valero-Lara; Keita Teranishi; Prasanna Balaprakash; Jeffrey S. Vetter (Concurr. Comput. Pract. Exp., 2024)

Characterizing GPU Energy Usage in Exascale-Ready Portable Science Applications. - William F. Godoy; Oscar R. Hernandez; Paul R. C. Kent; Maria Patrou; Kazi Asifuzzaman; Narasinga Rao Miniskar; Pedro Valero-Lara; Jeffrey S. Vetter; Matthew D. Sinclair; Jason Lowe-Power; Bobby R. Bruce (CoRR, 2025)

Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions. - Keita Teranishi; Harshitha Menon; William F. Godoy; Prasanna Balaprakash; David Bau; Tal Ben-Nun; Abhinav Bhatele; Franz Franchetti; Michael E. Franusich; Todd Gamblin; Giorgis Georgakoudis; Tom Goldstein; et al. (CoRR, 2025)