default search action
Pedro Valero-Lara
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 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) - [c48]Pedro Valero-Lara
, Seyong Lee
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
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 - [e5]Patrick Diehl
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
- [c43]Narasinga Rao Miniskar, Mohammad Alaul Haque Monil
IRIS-DMEM: Efficient Memory Management for Heterogeneous Computing. HPEC 2023: 1-7 - [c42]William F. Godoy
Evaluation of OpenAI Codex for HPC Parallel Programming Models Kernel Generation. ICPP Workshops 2023: 136-144 - [c41]William F. Godoy
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
A MultiGPU Performance-Portable Solution for Array Programming Based on Kokkos. ARRAY@PLDI 2023: 1-12 - [c38]Narasinga Rao Miniskar
Tiling Framework for Heterogeneous Computing of Matrix based Tiled Algorithms. ExHET@PPoPP 2023: 1:1-1:6 - [c37]Pedro Valero-Lara
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
MatRIS: Multi-level Math Library Abstraction for Heterogeneity and Performance Portability using IRIS Runtime. SC Workshops 2023: 1081-1092 - [c35]Pedro Valero-Lara
Moment Representation of Regularized Lattice Boltzmann Methods on NVIDIA and AMD GPUs. SC Workshops 2023: 1697-1704 - [c34]William F. Godoy
Julia as a unifying end-to-end workflow language on the Frontier exascale system. SC Workshops 2023: 1989-1999 - [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] - [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) - 2022
- [j17]Marc Jordà
cuConv: CUDA implementation of convolution for CNN inference. Clust. Comput. 25(2): 1459-1473 (2022) - [j16]John Gounley
Propagation Pattern for Moment Representation of the Lattice Boltzmann Method. IEEE Trans. Parallel Distributed Syst. 33(3): 642-653 (2022) - [c33]Pedro Valero-Lara
A Portable and Heterogeneous LU Factorization on IRIS. Euro-Par Workshops 2022: 17-31 - [c32]Narasinga Rao Miniskar, Mohammad Alaul Haque Monil
IRIS-BLAS: Towards a Performance Portable and Heterogeneous BLAS Library. HIPC 2022: 256-261 - [c31]Mohammad Alaul Haque Monil
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
KokkACC: Enhancing Kokkos with OpenACC. WACCPD@SC 2022: 32-42 - [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] - 2021
- [c28]Pedro Valero-Lara
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 - [i2]Marc Jordà, Pedro Valero-Lara, Antonio J. Peña
cuConv: A CUDA Implementation of Convolution for CNN Inference. CoRR abs/2103.16234 (2021) - 2020
- [j15]Pedro Valero-Lara
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) - [c26]Sandra Catalán
Towards an Auto-Tuned and Task-Based SpMV (LASs Library). IWOMP 2020: 115-129 - [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)
2010 – 2019
- 2019
- [j14]Pedro Valero-Lara, Diego Andrade
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
MPI+OpenMP tasking scalability for multi-morphology simulations of the human brain. Parallel Comput. 84: 50-61 (2019) - [c25]Sandra Catalán
Accelerating Conjugate Gradient using OmpSs. PDCAT 2019: 121-126 - [c24]Leonel Toledo, Antonio J. Peña
Tasking in Accelerators: Performance Evaluation. PDCAT 2019: 127-132 - [c23]Pedro Valero-Lara, Sandra Catalán
BLAS-3 Optimized by OmpSs Regions (LASs Library). PDP 2019: 25-32 - [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
- [j11]Pedro Valero-Lara
cuThomasBatch and cuThomasVBatch, CUDA Routines to compute batch of tridiagonal systems on NVIDIA GPUs. Concurr. Comput. Pract. Exp. 30(24) (2018) - [c22]Pedro Valero-Lara, Ivan Martínez-Pérez, Sergi Mateo, Raül Sirvent
Variable Batched DGEMM. PDP 2018: 363-367 - [c21]Pedro Valero-Lara, Raül Sirvent, Antonio J. Peña
MPI+OpenMP Tasking Scalability for the Simulation of the Human Brain: Human Brain Project. EuroMPI 2018: 5:1-5:8 - [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] - 2017
- [j10]Pedro Valero-Lara
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
Introduction to the Special Issue on High Performance Computing Solutions for Complex Problems. Scalable Comput. Pract. Exp. 18(2): iii-iv (2017) - [c20]Jack J. Dongarra, Sven Hammarling, Nicholas J. Higham
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
cuHinesBatch: Solving Multiple Hines systems on GPUs Human Brain Project*. ICCS 2017: 566-575 - [c18]Fernando López Pelayo
Heuristics for ROSA's LTS Searching. IWANN (2) 2017: 427-437 - [c17]Pedro Valero-Lara
NVIDIA GPUs Scalability to Solve Multiple (Batch) Tridiagonal Systems Implementation of cuThomasBatch. PPAM (1) 2017: 243-253 - 2016
- [j6]Pedro Valero-Lara
Many-Task Computing on Many-Core Architectures. Scalable Comput. Pract. Exp. 17(1): 32-46 (2016) - [j5]Pedro Valero-Lara, Fernando L. Pelayo
Introduction to the Special Issue on High Performance Computing Solutions for Complex Problems. Scalable Comput. Pract. Exp. 17(1): iii-iv (2016) - [c16]Pedro Valero-Lara
Leveraging the Performance of LBM-HPC for Large Sizes on GPUs Using Ghost Cells. ICA3PP 2016: 417-430 - 2015
- [j4]Pedro Valero-Lara
Accelerating fluid-solid simulations (Lattice-Boltzmann & Immersed-Boundary) on heterogeneous architectures. J. Comput. Sci. 10: 249-261 (2015) - [c15]Pedro Valero-Lara
LBM-HPC - An Open-Source Tool for Fluid Simulations. Case Study: Unified Parallel C (UPC-PGAS). CLUSTER 2015: 318-321 - [c14]Pedro Valero-Lara
Multi-domain Grid Refinement for Lattice-Boltzmann Simulations on Heterogeneous Platforms. CSE 2015: 1-8 - [c13]Pedro Valero-Lara
A Non-uniform Staggered Cartesian Grid Approach for Lattice-boltzmann Method. ICCS 2015: 296-305 - 2014
- [j3]Pedro Valero-Lara
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) - [c12]Pedro Valero-Lara
Multi-GPU acceleration of DARTEL (early detection of Alzheimer). CLUSTER 2014: 346-354 - [c11]Pedro Valero-Lara
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
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
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
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
Block Tridiagonal Solvers on Heterogeneous Architectures. ISPA 2012: 609-616 - 2011
- [j1]Pedro Valero-Lara, José L. Sánchez
A GPU-based implementation of the MRF algorithm in ITK package. J. Supercomput. 58(3): 403-410 (2011) - [c3]Pedro Valero-Lara, Fernando L. Pelayo
Towards a More Efficient Use of GPUs. ICCSA Workshops 2011: 3-9 - [c2]Roberto Uribe Paredes
A GPU-Based Implementation for Range Queries on Spaghettis Data Structure. ICCSA (1) 2011: 615-629 - [c1]Roberto Uribe Paredes
Similarity search implementations for multi-core and many-core processors. HPCS 2011: 656-663
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-11 21:25 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: