Cache Behavior Modeling of Codes with Data-Dependent Conditionals. - Diego Andrade; Basilio B. Fraguela; Ramon Doallo (SCOPES, 2003)

Modeling the Cache Behavior of Codes with Arbitrary Data-Dependent Conditional Structures. - Diego Andrade; Basilio B. Fraguela; Ramon Doallo (Asia-Pacific Computer Systems Architecture Conference, 2004)

Optimal Tile Size Selection Guided by Analytical Models. - Basilio B. Fraguela; M. G. Carmueja; Diego Andrade (PARCO, 2005)

Cache Behavior Modelling for Codes Involving Banded Matrices. - Diego Andrade; Basilio B. Fraguela; Ramon Doallo (LCPC, 2006)

Analytical modeling of codes with arbitrary data-dependent conditional structures. - Diego Andrade; Basilio B. Fraguela; Ramon Doallo (J. Syst. Archit., 2006)

Automated and accurate cache behavior analysis for codes with irregular access patterns. - Diego Andrade; Manuel Arenaz; Basilio B. Fraguela; Juan Touriño; Ramon Doallo (Concurr. Comput. Pract. Exp., 2007)

Precise automatable analytical modeling of the cache behavior of codes with indirections. - Diego Andrade; Basilio B. Fraguela; Ramon Doallo (ACM Trans. Archit. Code Optim., 2007)

Task-Parallel versus Data-Parallel Library-Based Programming in Multicore Systems. - Diego Andrade; Basilio B. Fraguela; James C. Brodman; David A. Padua (PDP, 2009)

Static Prediction of Worst-Case Data Cache Performance in the Absence of Base Address Information. - Diego Andrade; Basilio B. Fraguela; Ramon Doallo (IEEE Real-Time and Embedded Technology and Applications Symposium, 2009)

Address-Independent Estimation of the Worst-case Memory Performance. - Basilio B. Fraguela; Diego Andrade; Ramon Doallo (IEEE Trans. Ind. Informatics, 2010)

An efficient parallel set container for multicore architectures. - Álvaro de Vega; Diego Andrade; Basilio B. Fraguela (PARCO, 2011)

Using an Analytical Model of Shared Caches for Selecting the Optimal Parallelization Scheme. - Diego Andrade; Basilio B. Fraguela; Ramon Doallo (ISPA, 2012)

Static analysis of the worst-case memory performance for irregular codes with indirections. - Diego Andrade; Basilio B. Fraguela; Ramon Doallo (ACM Trans. Archit. Code Optim., 2012)

OCLoptimizer: An Iterative Optimization Tool for OpenCL. - Jorge F. Fabeiro; Diego Andrade; Basilio B. Fraguela (ICCS, 2013)

Accurate prediction of the behavior of multithreaded applications in shared caches. - Diego Andrade; Basilio B. Fraguela; Ramon Doallo (Parallel Comput., 2013)

Numerical simulation of pollutant transport in a shallow-water system on the Cell heterogeneous processor. - Carlos H. Gonzalez; Basilio B. Fraguela; Diego Andrade; José A. García; Manuel J. Castro (J. Supercomput., 2013)

Writing Self-adaptive Codes for Heterogeneous Systems. - Jorge F. Fabeiro; Diego Andrade; Basilio B. Fraguela; Ramon Doallo (Euro-Par, 2014)

A fine-grained thread-aware management policy for shared caches. - Dyer Rolán; Diego Andrade; Basilio B. Fraguela; Ramon Doallo (Concurr. Comput. Pract. Exp., 2014)

Address independent estimation of the boundaries of cache performance. - Diego Andrade; Basilio B. Fraguela; Ramon Doallo (Microprocess. Microsystems, 2014)

Improving OpenCL Programmability with the Heterogeneous Programming Library. - Moisés Viñas; Basilio B. Fraguela; Zeki Bozkus; Diego Andrade (ICCS, 2015)

Automatic Generation of Optimized OpenCL Codes Using OCLoptimizer. - Jorge F. Fabeiro; Diego Andrade; Basilio B. Fraguela; Ramón Doallo (Comput. J., 2015)

Developing adaptive multi-device applications with the Heterogeneous Programming Library. - Moisés Viñas; Zeki Bozkus; Basilio B. Fraguela; Diego Andrade; Ramon Doallo (J. Supercomput., 2015)

Towards a High Level Approach for the Programming of Heterogeneous Clusters. - Moisés Viñas; Basilio B. Fraguela; Diego Andrade; Ramón Doallo (ICPP Workshops, 2016)

Writing a performance-portable matrix multiplication. - Jorge F. Fabeiro; Diego Andrade; Basilio B. Fraguela (Parallel Comput., 2016)

Facilitating the development of stencil applications using the Heterogeneous Programming Library. - Moisés Viñas; Basilio B. Fraguela; Diego Andrade; Ramón Doallo (Concurr. Comput. Pract. Exp., 2017)

High productivity multi-device exploitation with the Heterogeneous Programming Library. - Moisés Viñas; Basilio B. Fraguela; Diego Andrade; Ramón Doallo (J. Parallel Distributed Comput., 2017)

Guiding the Optimization of Parallel Codes on Multicores Using an Analytical Cache Model. - Diego Andrade; Basilio B. Fraguela; Ramón Doallo (ICCS (3), 2018)

Heterogeneous distributed computing based on high-level abstractions. - Moisés Viñas; Basilio B. Fraguela; Diego Andrade; Ramón Doallo (Concurr. Comput. Pract. Exp., 2018)

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)

Easy Dataflow Programming in Clusters with UPC++ DepSpawn. - Basilio B. Fraguela; Diego Andrade (IEEE Trans. Parallel Distributed Syst., 2019)

A Hybrid Approach for Tracking Individual Players in Broadcast Match Videos. - Roberto L. Castro; Diego Andrade; Basilio B. Fraguela (CoRR, 2020)

Reusing Trained Layers of Convolutional Neural Networks to Shorten Hyperparameters Tuning Time. - Roberto L. Castro; Diego Andrade; Basilio B. Fraguela (CoRR, 2020)

An automatic optimizer for heterogeneous devices. - Jorge Fernández-Fabeiro; Diego Andrade; Basilio B. Fraguela; Ramón Doallo (Future Gener. Comput. Syst., 2020)

ScalaParBiBit: scaling the binary biclustering in distributed-memory systems. - Basilio B. Fraguela; Diego Andrade; Jorge González-Domínguez (Clust. Comput., 2021)

High-performance dataflow computing in hybrid memory systems with UPC++ DepSpawn. - Basilio B. Fraguela; Diego Andrade (J. Supercomput., 2021)

A software cache autotuning strategy for dataflow computing with UPC++ DepSpawn. - Basilio B. Fraguela; Diego Andrade (Comput. Math. Methods, 2021)

Probing the Efficacy of Hardware-Aware Weight Pruning to Optimize the SpMM Routine on Ampere GPUs. - Roberto L. Castro; Diego Andrade; Basilio B. Fraguela (PACT, 2022)

The New UPC++ DepSpawn High Performance Library for Data-Flow Computing with Hybrid Parallelism. - Basilio B. Fraguela; Diego Andrade (ICCS (1), 2022)

VENOM: A Vectorized N: M Format for Unleashing the Power of Sparse Tensor Cores. - Roberto L. Castro; Andrei Ivanov; Diego Andrade; Tal Ben-Nun; Basilio B. Fraguela; Torsten Hoefler (SC, 2023)

TNBS: A Kernel-Based Benchmarking for Digital Quantum Computers. - Gonzalo Ferro; Oluwatosin Odubanjo; Diego Andrade; Andrés Gómez 002 (Euro-Par Workshops (1), 2024)

STuning-DL: Model-Driven Autotuning of Sparse GPU Kernels for Deep Learning. - Roberto L. Castro; Diego Andrade; Basilio B. Fraguela (IEEE Access, 2024)

Adapt-S: Effective DNN Pruning via Unified Accuracy and Performance Tuning. - Roberto L. Castro; Diego Andrade; Basilio B. Fraguela (IPDPS, 2025)