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Journal Articles
- 2024
[j18]William F. Godoy, Pedro Valero-Lara, Keita Teranishi, Prasanna Balaprakash, Jeffrey S. Vetter:
Large language model evaluation for high-performance computing software development. Concurr. Comput. Pract. Exp. 36(26) (2024)- 2022
- [j17]Marc Jordà
, Pedro Valero-Lara, Antonio J. Peña:
cuConv: CUDA implementation of convolution for CNN inference. Clust. Comput. 25(2): 1459-1473 (2022) - [j16]John Gounley, Madhurima Vardhan, Erik W. Draeger, Pedro Valero-Lara, Shirley V. Moore, Amanda Randles:
Propagation Pattern for Moment Representation of the Lattice Boltzmann Method. IEEE Trans. Parallel Distributed Syst. 33(3): 642-653 (2022) - 2020
- [j15]Pedro Valero-Lara, Sandra Catalán, Xavier Martorell, Tetsuzo Usui, Jesús Labarta:
sLASs: A fully automatic auto-tuned linear algebra library based on OpenMP extensions implemented in OmpSs (LASs Library). J. Parallel Distributed Comput. 138: 153-171 (2020) - 2019
- [j14]Pedro Valero-Lara, Diego Andrade, Raül Sirvent, Jesús Labarta, Basilio B. Fraguela, Ramon Doallo:
A Fast Solver for Large Tridiagonal Systems on Multi-Core Processors (Lass Library). IEEE Access 7: 23365-23378 (2019) - [j13]Marc Jordà, Pedro Valero-Lara, Antonio J. Peña:
Performance Evaluation of cuDNN Convolution Algorithms on NVIDIA Volta GPUs. IEEE Access 7: 70461-70473 (2019) - [j12]Pedro Valero-Lara, Raül Sirvent, Antonio J. Peña, Jesús Labarta:
MPI+OpenMP tasking scalability for multi-morphology simulations of the human brain. Parallel Comput. 84: 50-61 (2019) - 2018
- [j11]Pedro Valero-Lara, Ivan Martínez-Pérez, Raül Sirvent, Xavier Martorell, Antonio J. Peña:
cuThomasBatch and cuThomasVBatch, CUDA Routines to compute batch of tridiagonal systems on NVIDIA GPUs. Concurr. Comput. Pract. Exp. 30(24) (2018) - 2017
- [j10]Pedro Valero-Lara, Johan Jansson:
Heterogeneous CPU+GPU approaches for mesh refinement over Lattice-Boltzmann simulations. Concurr. Comput. Pract. Exp. 29(7) (2017) - [j9]Pedro Valero-Lara:
Reducing memory requirements for large size LBM simulations on GPUs. Concurr. Comput. Pract. Exp. 29(24) (2017) - [j8]Pedro Valero-Lara, Ezhilmathi Krishnasamy, Johan Jansson:
Towards HPC-Embedded. Case Study: Kalray and Message-Passing on NoC. Scalable Comput. Pract. Exp. 18(2): 151-160 (2017) - [j7]Pedro Valero-Lara, Mawussi Zounon, Maksims Abalenkovs, Fernando L. Pelayo:
Introduction to the Special Issue on High Performance Computing Solutions for Complex Problems. Scalable Comput. Pract. Exp. 18(2): iii-iv (2017) - 2016
- [j6]Pedro Valero-Lara, Poornima Nookala, Fernando L. Pelayo, Johan Jansson, Serapheim Dimitropoulos, Ioan Raicu:
Many-Task Computing on Many-Core Architectures. Scalable Comput. Pract. Exp. 17(1): 32-46 (2016) - [j5]Pedro Valero-Lara, Fernando L. Pelayo, Johan Jansson:
Introduction to the Special Issue on High Performance Computing Solutions for Complex Problems. Scalable Comput. Pract. Exp. 17(1): iii-iv (2016) - 2015
- [j4]Pedro Valero-Lara, Francisco D. Igual, Manuel Prieto-Matías, Alfredo Pinelli, Julien Favier:
Accelerating fluid-solid simulations (Lattice-Boltzmann & Immersed-Boundary) on heterogeneous architectures. J. Comput. Sci. 10: 249-261 (2015) - 2014
- [j3]Pedro Valero-Lara, Alfredo Pinelli, Manuel Prieto-Matías:
Fast finite difference Poisson solvers on heterogeneous architectures. Comput. Phys. Commun. 185(4): 1265-1272 (2014) - [j2]Pedro Valero-Lara:
Accelerating solid-fluid interaction based on the immersed boundary method on multicore and GPU architectures. J. Supercomput. 70(2): 799-815 (2014) - 2011
- [j1]Pedro Valero-Lara, José L. Sánchez, Diego Cazorla, Enrique Arias:
A GPU-based implementation of the MRF algorithm in ITK package. J. Supercomput. 58(3): 403-410 (2011)
Conference and Workshop Papers
- 2024
- [c48]Pedro Valero-Lara, Seyong Lee, Joel E. Denny, Keita Teranishi, Jeffrey S. Vetter, Marc González Tallada:
sKokkos: Enabling Kokkos with Transparent Device Selection on Heterogeneous Systems using OpenACC. HPC Asia 2024: 23-34 - [c47]Marc González Tallada, Joel E. Denny, Pedro Valero-Lara, Seyong Lee, Keita Teranishi, Jeffrey S. Vetter:
eCC++ : A Compiler Construction Framework for Embedded Domain-Specific Languages. IPDPS (Workshops) 2024: 667-677 - [c46]Pedro Valero-Lara:
9th IEEE International Workshop on Automatic Performance Tuning (iWAPT 2024). IPDPS (Workshops) 2024: 738-739 - [c45]Narasinga Rao Miniskar, Seyong Lee, Beau Johnston, Aaron R. Young, Mohammad Alaul Haque Monil, Pedro Valero-Lara, Jeffrey S. Vetter:
IRIS Reimagined: Advancements in Intelligent Runtime System for Task-Based Programming. WAMTA 2024: 46-58 - [c44]Mohammad Alaul Haque Monil, Narasinga Rao Miniskar, Pedro Valero-Lara, Keita Teranishi, Jeffrey S. Vetter:
MatRIS: Addressing the Challenges for Portability and Heterogeneity Using Tasking for Matrix Decomposition (Cholesky). WAMTA 2024: 59-70 - 2023
- [c43]Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Pedro Valero-Lara, Frank Y. Liu, Jeffrey S. Vetter:
IRIS-DMEM: Efficient Memory Management for Heterogeneous Computing. HPEC 2023: 1-7 - [c42]William F. Godoy, Pedro Valero-Lara, Keita Teranishi, Prasanna Balaprakash, Jeffrey S. Vetter:
Evaluation of OpenAI Codex for HPC Parallel Programming Models Kernel Generation. ICPP Workshops 2023: 136-144 - [c41]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:
Evaluating performance and portability of high-level programming models: Julia, Python/Numba, and Kokkos on exascale nodes. IPDPS Workshops 2023: 373-382 - [c40]Pedro Valero-Lara:
(AsHES) 2023 Keynote Speaker Agnostic Programing: "Less is More". IPDPS Workshops 2023: 563 - [c39]Pedro Valero-Lara, Jeffrey S. Vetter:
A MultiGPU Performance-Portable Solution for Array Programming Based on Kokkos. ARRAY@PLDI 2023: 1-12 - [c38]Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Pedro Valero-Lara, Frank Liu, Jeffrey S. Vetter:
Tiling Framework for Heterogeneous Computing of Matrix based Tiled Algorithms. ExHET@PPoPP 2023: 1:1-1:6 - [c37]Pedro Valero-Lara, Ian Jorquera, Frank Liu, Jeffrey S. Vetter:
Mixed-Precision S/DGEMM Using the TF32 and TF64 Frameworks on Low-Precision AI Tensor Cores. SC Workshops 2023: 177-186 - [c36]Mohammad Alaul Haque Monil, Narasinga Rao Miniskar, Keita Teranishi, Jeffrey S. Vetter, Pedro Valero-Lara:
MatRIS: Multi-level Math Library Abstraction for Heterogeneity and Performance Portability using IRIS Runtime. SC Workshops 2023: 1081-1092 - [c35]Pedro Valero-Lara, Jeffrey S. Vetter, John Gounley, Amanda Randles:
Moment Representation of Regularized Lattice Boltzmann Methods on NVIDIA and AMD GPUs. SC Workshops 2023: 1697-1704 - [c34]William F. Godoy, Pedro Valero-Lara, Caira Anderson, Katrina W. Lee, Ana Gainaru, Rafael Ferreira da Silva, Jeffrey S. Vetter:
Julia as a unifying end-to-end workflow language on the Frontier exascale system. SC Workshops 2023: 1989-1999 - 2022
- [c33]Pedro Valero-Lara, Jungwon Kim, Jeffrey S. Vetter:
A Portable and Heterogeneous LU Factorization on IRIS. Euro-Par Workshops 2022: 17-31 - [c32]Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Pedro Valero-Lara, Frank Liu, Jeffrey S. Vetter:
IRIS-BLAS: Towards a Performance Portable and Heterogeneous BLAS Library. HIPC 2022: 256-261 - [c31]Mohammad Alaul Haque Monil, Narasinga Rao Miniskar, Frank Y. Liu, Jeffrey S. Vetter, Pedro Valero-Lara:
LaRIS: Targeting Portability and Productivity for LAPACK Codes on Extreme Heterogeneous Systems by Using IRIS. RSDHA@SC 2022: 12-21 - [c30]Pedro Valero-Lara, Cameron Greenwalt, Jeffrey S. Vetter:
SparseLU, A Novel Algorithm and Math Library for Sparse LU Factorization. IA3@SC 2022: 25-31 - [c29]Pedro Valero-Lara, Seyong Lee, Marc González Tallada, Joel E. Denny, Jeffrey S. Vetter:
KokkACC: Enhancing Kokkos with OpenACC. WACCPD@SC 2022: 32-42 - 2021
- [c28]Pedro Valero-Lara, Jungwon Kim, Oscar R. Hernandez, Jeffrey S. Vetter:
OpenMP Target Task: Tasking and Target Offloading on Heterogeneous Systems. Euro-Par Workshops 2021: 445-455 - [c27]Leonel Toledo, Pedro Valero-Lara, Jeffrey S. Vetter, Antonio J. Peña:
Static Graphs for Coding Productivity in OpenACC. HiPC 2021: 364-369 - 2020
- [c26]Sandra Catalán, Tetsuzo Usui, Leonel Toledo, Xavier Martorell, Jesús Labarta, Pedro Valero-Lara:
Towards an Auto-Tuned and Task-Based SpMV (LASs Library). IWOMP 2020: 115-129 - 2019
- [c25]Sandra Catalán, Xavier Martorell, Jesús Labarta, Tetsuzo Usui, Leonel Antonio Toledo Díaz, Pedro Valero-Lara:
Accelerating Conjugate Gradient using OmpSs. PDCAT 2019: 121-126 - [c24]Leonel Toledo, Antonio J. Peña, Sandra Catalán, Pedro Valero-Lara:
Tasking in Accelerators: Performance Evaluation. PDCAT 2019: 127-132 - [c23]Pedro Valero-Lara, Sandra Catalán, Xavier Martorell, Jesús Labarta:
BLAS-3 Optimized by OmpSs Regions (LASs Library). PDP 2019: 25-32 - 2018
- [c22]Pedro Valero-Lara, Ivan Martínez-Pérez, Sergi Mateo, Raül Sirvent, Vicenç Beltran, Xavier Martorell, Jesús Labarta:
Variable Batched DGEMM. PDP 2018: 363-367 - [c21]Pedro Valero-Lara, Raül Sirvent, Antonio J. Peña, Xavier Martorell, Jesús Labarta:
MPI+OpenMP Tasking Scalability for the Simulation of the Human Brain: Human Brain Project. EuroMPI 2018: 5:1-5:8 - 2017
- [c20]Jack J. Dongarra, Sven Hammarling, Nicholas J. Higham, Samuel D. Relton, Pedro Valero-Lara, Mawussi Zounon:
The Design and Performance of Batched BLAS on Modern High-Performance Computing Systems. ICCS 2017: 495-504 - [c19]Pedro Valero-Lara, Ivan Martínez-Pérez, Antonio J. Peña, Xavier Martorell, Raül Sirvent, Jesús Labarta:
cuHinesBatch: Solving Multiple Hines systems on GPUs Human Brain Project*. ICCS 2017: 566-575 - [c18]Fernando López Pelayo, Fernando Cuartero Gómez, Diego Cazorla, Pedro Valero-Lara, Mercedes G. Merayo:
Heuristics for ROSA's LTS Searching. IWANN (2) 2017: 427-437 - [c17]Pedro Valero-Lara, Ivan Martínez-Pérez, Raül Sirvent, Xavier Martorell, Antonio J. Peña:
NVIDIA GPUs Scalability to Solve Multiple (Batch) Tridiagonal Systems Implementation of cuThomasBatch. PPAM (1) 2017: 243-253 - 2016
- [c16]Pedro Valero-Lara:
Leveraging the Performance of LBM-HPC for Large Sizes on GPUs Using Ghost Cells. ICA3PP 2016: 417-430 - 2015
- [c15]Pedro Valero-Lara, Johan Jansson:
LBM-HPC - An Open-Source Tool for Fluid Simulations. Case Study: Unified Parallel C (UPC-PGAS). CLUSTER 2015: 318-321 - [c14]Pedro Valero-Lara, Johan Jansson:
Multi-domain Grid Refinement for Lattice-Boltzmann Simulations on Heterogeneous Platforms. CSE 2015: 1-8 - [c13]Pedro Valero-Lara, Johan Jansson:
A Non-uniform Staggered Cartesian Grid Approach for Lattice-boltzmann Method. ICCS 2015: 296-305 - 2014
- [c12]Pedro Valero-Lara:
Multi-GPU acceleration of DARTEL (early detection of Alzheimer). CLUSTER 2014: 346-354 - [c11]Pedro Valero-Lara, Alfredo Pinelli, Manuel Prieto-Matías:
Accelerating Solid-fluid Interaction using Lattice-boltzmann and Immersed Boundary Coupled Simulations on Heterogeneous Platforms. ICCS 2014: 50-61 - [c10]Pedro Valero-Lara:
hLCS. A Hybrid GPGPU Approach for Solving Multiple Short and Unbalanced LCS Problems. ICCSA (6) 2014: 102-115 - 2013
- [c9]Pedro Valero-Lara, Fernando L. Pelayo:
Analysis in performance and new model for multiple kernels executions on many-core architectures. ICCI*CC 2013: 189-194 - [c8]Raúl Pardo, Fernando L. Pelayo, Pedro Valero-Lara:
GPU Powered ROSA Analyzer. ICPP 2013: 901-908 - [c7]Pedro Valero-Lara:
A GPU approach for accelerating 3D deformable registration (DARTEL) on brain biomedical images. EuroMPI 2013: 187-192 - 2012
- [c6]Roberto Uribe Paredes, Enrique Arias, José L. Sánchez, Diego Cazorla, Pedro Valero-Lara:
Improving the Performance for the Range Search on Metric Spaces Using a Multi-GPU Platform. DEXA (2) 2012: 442-449 - [c5]Pedro Valero-Lara:
MRF Satellite Image Classification on GPU. ICPP Workshops 2012: 149-156 - [c4]Pedro Valero-Lara, Alfredo Pinelli, Julien Favier, Manuel Prieto-Matías:
Block Tridiagonal Solvers on Heterogeneous Architectures. ISPA 2012: 609-616 - 2011
- [c3]Pedro Valero-Lara, Fernando L. Pelayo:
Towards a More Efficient Use of GPUs. ICCSA Workshops 2011: 3-9 - [c2]Roberto Uribe Paredes, Pedro Valero-Lara, Enrique Arias, José L. Sánchez, Diego Cazorla:
A GPU-Based Implementation for Range Queries on Spaghettis Data Structure. ICCSA (1) 2011: 615-629 - [c1]Roberto Uribe Paredes, Pedro Valero-Lara, Enrique Arias, José L. Sánchez, Diego Cazorla:
Similarity search implementations for multi-core and many-core processors. HPCS 2011: 656-663
Editorship
- 2024
- [e5]Patrick Diehl, Joseph Schuchart, Pedro Valero-Lara, George Bosilca:
Asynchronous Many-Task Systems and Applications - Second International Workshop, WAMTA 2024, Knoxville, TN, USA, February 14-16, 2024, Proceedings. Lecture Notes in Computer Science 14626, Springer 2024, ISBN 978-3-031-61762-1 [contents] - 2023
- [e4]Pedro Valero-Lara, Seyong Lee, Gokcen Kestor, Mohammad Alaul Haque Monil, Marc González:
Proceedings of the 2nd International Workshop on Extreme Heterogeneity Solutions, ExHET 2023, Montreal, QC, Canada, 25 February 2023. ACM 2023 [contents] - 2022
- [e3]Pedro Valero-Lara, Seyong Lee, Gokcen Kestor:
ExHET@PPoPP 2022: Proceedings of the 1st International Workshop on Extreme Heterogeneity Solutions, Seoul Republic of Korea, 2 April 2022. ACM 2022, ISBN 978-1-4503-9344-7 [contents] - 2019
- [e2]Ioannis Sourdis, Christos-Savvas Bouganis, Carlos Álvarez, Leonel Antonio Toledo Díaz, Pedro Valero-Lara, Xavier Martorell:
29th International Conference on Field Programmable Logic and Applications, FPL 2019, Barcelona, Spain, September 8-12, 2019. IEEE 2019, ISBN 978-1-7281-4884-7 [contents] - 2018
- [e1]Bronis R. de Supinski, Pedro Valero-Lara, Xavier Martorell, Sergi Mateo Bellido, Jesús Labarta:
Evolving OpenMP for Evolving Architectures - 14th International Workshop on OpenMP, IWOMP 2018, Barcelona, Spain, September 26-28, 2018, Proceedings. Lecture Notes in Computer Science 11128, Springer 2018, ISBN 978-3-319-98520-6 [contents]
Informal and Other Publications
- 2023
- [i6]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:
Evaluating performance and portability of high-level programming models: Julia, Python/Numba, and Kokkos on exascale nodes. CoRR abs/2303.06195 (2023) - [i5]William F. Godoy, Pedro Valero-Lara, Keita Teranishi, Prasanna Balaprakash, Jeffrey S. Vetter:
Evaluation of OpenAI Codex for HPC Parallel Programming Models Kernel Generation. CoRR abs/2306.15121 (2023) - [i4]Pedro Valero-Lara, Alexis Huante, Mustafa Al-Lail, William F. Godoy, Keita Teranishi, Prasanna Balaprakash, Jeffrey S. Vetter:
Comparing Llama-2 and GPT-3 LLMs for HPC kernels generation. CoRR abs/2309.07103 (2023) - [i3]William F. Godoy, Pedro Valero-Lara, Caira Anderson, Katrina W. Lee, Ana Gainaru, Rafael Ferreira da Silva, Jeffrey S. Vetter:
Julia as a unifying end-to-end workflow language on the Frontier exascale system. CoRR abs/2309.10292 (2023) - 2021
- [i2]Marc Jordà, Pedro Valero-Lara, Antonio J. Peña:
cuConv: A CUDA Implementation of Convolution for CNN Inference. CoRR abs/2103.16234 (2021) - 2020
- [i1]Pedro Valero-Lara, Raül Sirvent, Antonio J. Peña, Jesús Labarta:
MPI+OpenMP Tasking Scalability for Multi-Morphology Simulations of the Human Brain. CoRR abs/2005.06332 (2020)
Coauthor Index
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