José L. Abellán

76 papers A* 6A 7B 5C 3Misc 1Journal 34Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ELLMo: Packing- and Depth-Aware Encrypted Transformer Inference. IACR Cryptol. ePrint Arch. Seyda Nur Güzelhan, Lohit Daksha, Carlos Agulló-Domingo, Gilbert Jonatan, John Kim, José L. Abellán, David R. Kaeli, Ajay Joshi
2026	J	`jnl`	FHECore: Rethinking GPU Microarchitecture for Fully Homomorphic Encryption. CoRR Lohit Daksha, Seyda Nur Güzelhan, Kaustubh Shivdikar, Carlos Agulló-Domingo, Óscar Vera-López, Gilbert Jonatan, Hubert Dymarkowski, Aymane El Jerari, José Cano, José L. Abellán, John Kim, David R. Kaeli, Ajay Joshi
2026	—	`conf`	GPU Acceleration of Sparse Fully Homomorphic Encrypted DNNs. EuroMLSys@EuroSys Lara D'Agata, Carlos Agulló-Domingo, Óscar Vera-López, Kaustubh Shivdikar, Ardhi W. B. Yudha, Ferhat Yaman, David R. Kaeli, José L. Abellán, Ian Colbert, José Cano
2026	A*	`conf`	QuCo: Efficient and Flexible Hardware-Driven Automatic Configuration of Tile Transfers in GPUs. HPCA Nicolás Meseguer, Daoxuan Xu, Yifan Sun, Michael Pellauer, José L. Abellán, Manuel E. Acacio
2025	—	`conf`	ACTA: Automatic Configuration of the Tensor Memory Accelerator for High-End GPUs. GPGPU@PPoPP Nicolás Meseguer, Yifan Sun, Michael Pellauer, José L. Abellán, Manuel E. Acacio
2025	B	`conf`	FIDESlib: A Fully-Fledged Open-Source FHE Library for Efficient CKKS on GPUs. ISPASS Carlos Agulló-Domingo, Óscar Vera-López, Seyda Nur Güzelhan, Lohit Daksha, Aymane El Jerari, Kaustubh Shivdikar, Rashmi S. Agrawal, David R. Kaeli, Ajay Joshi, José L. Abellán
2025	J	`jnl`	FIDESlib: A Fully-Fledged Open-Source FHE Library for Efficient CKKS on GPUs. CoRR Carlos Agulló-Domingo, Óscar Vera-López, Seyda Nur Güzelhan, Lohit Daksha, Aymane El Jerari, Kaustubh Shivdikar, Rashmi S. Agrawal, David R. Kaeli, Ajay Joshi, José L. Abellán
2025	A*	`conf`	PIMnet: A Domain-Specific Network for Efficient Collective Communication in Scalable PIM. HPCA Hyojun Son, Gilbert Jonatan, Xiangyu Wu, Haeyoon Cho, Kaustubh Shivdikar, José L. Abellán, Ajay Joshi, David R. Kaeli, John Kim
2025	C	`conf`	QuFi: Adaptive Tiled Gustavson Output Reuse for Edge Sparse DNN Accelerators. ICCD Adrián Navarro, José Cano, José L. Abellán, Manuel E. Acacio
2025	J	`jnl`	Saffe: Multimodal Model Composition with Semantic-Alignment Fusion of Frozen Encoders. J. Supercomput. Maithri Kulasekara, Juan F. Inglés-Romero, Baldomero Imbernón, José L. Abellán
2024	A	`conf`	AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators. CGO Nicolas Bohm Agostini, Jude Haris, Perry Gibson, Malith Jayaweera, Norm Rubin, Antonino Tumeo, José L. Abellán, José Cano, David R. Kaeli
2024	A*	`conf`	NeuraChip: Accelerating GNN Computations with a Hash-based Decoupled Spatial Accelerator. ISCA Kaustubh Shivdikar, Nicolas Bohm Agostini, Malith Jayaweera, Gilbert Jonatan, José L. Abellán, Ajay Joshi, John Kim, David R. Kaeli
2024	J	`jnl`	NeuraChip: Accelerating GNN Computations with a Hash-based Decoupled Spatial Accelerator. CoRR Kaustubh Shivdikar, Nicolas Bohm Agostini, Malith Jayaweera, Gilbert Jonatan, José L. Abellán, Ajay Joshi, John Kim, David R. Kaeli
2024	—	`conf`	Scalability Limitations of Processing-in-Memory using Real System Evaluations. SIGMETRICS/Performance (Abstracts) Gilbert Jonatan, Haeyoon Cho, Hyojun Son, Xiangyu Wu, Neal Livesay, Evelio Mora, Kaustubh Shivdikar, José L. Abellán, Ajay Joshi, David R. Kaeli, John Kim
2024	J	`jnl`	Scalability Limitations of Processing-in-Memory using Real System Evaluations. Proc. ACM Meas. Anal. Comput. Syst. Gilbert Jonatan, Haeyoon Cho, Hyojun Son, Xiangyu Wu, Neal Livesay, Evelio Mora, Kaustubh Shivdikar, José L. Abellán, Ajay Joshi, David R. Kaeli, John Kim
2023	J	`jnl`	AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators. CoRR Nicolas Bohm Agostini, Jude Haris, Perry Gibson, Malith Jayaweera, Norm Rubin, Antonino Tumeo, José L. Abellán, José Cano, David R. Kaeli
2023	J	`jnl`	Accelerating Finite Field Arithmetic for Homomorphic Encryption on GPUs. IEEE Micro Neal Livesay, Gilbert Jonatan, Evelio Mora, Kaustubh Shivdikar, Rashmi Agrawal, Ajay Joshi, José L. Abellán, John Kim, David R. Kaeli
2023	J	`jnl`	Flexagon: A Multi-Dataflow Sparse-Sparse Matrix Multiplication Accelerator for Efficient DNN Processing. CoRR Francisco Muñoz-Martínez, Raveesh Garg, José L. Abellán, Michael Pellauer, Manuel E. Acacio, Tushar Krishna
2023	—	`conf`	Flexagon: A Multi-dataflow Sparse-Sparse Matrix Multiplication Accelerator for Efficient DNN Processing. ASPLOS (3) Francisco Muñoz-Martínez, Raveesh Garg, Michael Pellauer, José L. Abellán, Manuel E. Acacio, Tushar Krishna
2023	A*	`conf`	GME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic Encryption. MICRO Kaustubh Shivdikar, Yuhui Bao, Rashmi Agrawal, Michael Tian Shen, Gilbert Jonatan, Evelio Mora, Alexander Ingare, Neal Livesay, José L. Abellán, John Kim, Ajay Joshi, David R. Kaeli
2023	J	`jnl`	GME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic Encryption. CoRR Kaustubh Shivdikar, Yuhui Bao, Rashmi Agrawal, Michael Tian Shen, Gilbert Jonatan, Evelio Mora, Alexander Ingare, Neal Livesay, José L. Abellán, John Kim, Ajay Joshi, David R. Kaeli
2023	J	`jnl`	STIFT: A Spatio-Temporal Integrated Folding Tree for Efficient Reductions in Flexible DNN Accelerators. ACM J. Emerg. Technol. Comput. Syst. Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna
2022	—	`conf`	Accelerating Polynomial Multiplication for Homomorphic Encryption on GPUs. SEED Kaustubh Shivdikar, Gilbert Jonatan, Evelio Mora, Neal Livesay, Rashmi Agrawal, Ajay Joshi, José L. Abellán, John Kim, David R. Kaeli
2022	J	`jnl`	Accelerating Polynomial Multiplication for Homomorphic Encryption on GPUs. CoRR Kaustubh Shivdikar, Gilbert Jonatan, Evelio Mora, Neal Livesay, Rashmi Agrawal, Ajay Joshi, José L. Abellán, John Kim, David R. Kaeli
2022	B	`conf`	NaviSim: A Highly Accurate GPU Simulator for AMD RDNA GPUs. PACT Yuhui Bao, Yifan Sun, Zlatan Feric, Michael Tian Shen, Micah Weston, José L. Abellán, Trinayan Baruah, John Kim, Ajay Joshi, David R. Kaeli
2022	J	`jnl`	Puppeteer: A Random Forest-based Manager for Hardware Prefetchers across the Memory Hierarchy. CoRR Furkan Eris, Marcia S. Louis, Kubra Eris, José L. Abellán, Ajay Joshi
2022	A	`conf`	Understanding the Design-Space of Sparse/Dense Multiphase GNN dataflows on Spatial Accelerators. IPDPS Raveesh Garg, Eric Qin, Francisco Muñoz-Martínez, Robert Guirado, Akshay Jain, Sergi Abadal, José L. Abellán, Manuel E. Acacio, Eduard Alarcón, Sivasankaran Rajamanickam, Tushar Krishna
2021	J	`jnl`	A Taxonomy for Classification and Comparison of Dataflows for GNN Accelerators. CoRR Raveesh Garg, Eric Qin, Francisco Muñoz-Martínez, Robert Guirado, Akshay Jain, Sergi Abadal, José L. Abellán, Manuel E. Acacio, Eduard Alarcón, Sivasankaran Rajamanickam, Tushar Krishna
2021	—	`conf`	A novel network fabric for efficient spatio-temporal reduction in flexible DNN accelerators. NOCS Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna
2021	B	`conf`	GNNMark: A Benchmark Suite to Characterize Graph Neural Network Training on GPUs. ISPASS Trinayan Baruah, Kaustubh Shivdikar, Shi Dong, Yifan Sun, Saiful A. Mojumder, Kihoon Jung, José L. Abellán, Yash Ukidave, Ajay Joshi, John Kim, David R. Kaeli
2021	J	`jnl`	METADOCK 2: a high-throughput parallel metaheuristic scheme for molecular docking. Bioinform. Baldomero Imbernón, Antonio Serrano, Andrés Bueno-Crespo, José L. Abellán, Horacio Pérez Sánchez, José M. Cecilia
2021	—	`conf`	STONNE: Enabling Cycle-Level Microarchitectural Simulation for DNN Inference Accelerators. IISWC Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna
2021	J	`jnl`	STONNE: Enabling Cycle-Level Microarchitectural Simulation for DNN Inference Accelerators. IEEE Comput. Archit. Lett. Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna
2021	J	`jnl`	Spartan: A Sparsity-Adaptive Framework to Accelerate Deep Neural Network Training on GPUs. IEEE Trans. Parallel Distributed Syst. Shi Dong, Yifan Sun, Nicolas Bohm Agostini, Elmira Karimi, Daniel Lowell, Jing Zhou, José Cano, José L. Abellán, David R. Kaeli
2021	A	`conf`	TAP-2.5D: A Thermally-Aware Chiplet Placement Methodology for 2.5D Systems. DATE Yenai Ma, Leila Delshadtehrani, Cansu Demirkiran, José L. Abellán, Ajay Joshi
2021	—	`conf`	The Challenge of Classification Confidence Estimation in Dynamically-Adaptive Neural Networks. SAMOS Francesco Dall'Occo, Andrés Bueno-Crespo, José L. Abellán, Davide Bertozzi, Michele Favalli
2020	C	`conf`	Design Space Exploration of Accelerators and End-to-End DNN Evaluation with TFLITE-SOC. SBAC-PAD Nicolas Bohm Agostini, Shi Dong, Elmira Karimi, Marti Torrents Lapuerta, José Cano, José L. Abellán, David R. Kaeli
2020	A*	`conf`	Griffin: Hardware-Software Support for Efficient Page Migration in Multi-GPU Systems. HPCA Trinayan Baruah, Yifan Sun, Ali Tolga Dinçer, Saiful A. Mojumder, José L. Abellán, Yash Ukidave, Ajay Joshi, Norman Rubin, John Kim, David R. Kaeli
2020	J	`jnl`	HALCONE : A Hardware-Level Timestamp-based Cache Coherence Scheme for Multi-GPU systems. CoRR Saiful A. Mojumder, Yifan Sun, Leila Delshadtehrani, Yenai Ma, Trinayan Baruah, José L. Abellán, John Kim, David R. Kaeli, Ajay Joshi
2020	J	`jnl`	MGPU-TSM: A Multi-GPU System with Truly Shared Memory. CoRR Saiful A. Mojumder, Yifan Sun, Leila Delshadtehrani, Yenai Ma, Trinayan Baruah, José L. Abellán, John Kim, David R. Kaeli, Ajay Joshi
2020	J	`jnl`	QN-Docking: An innovative molecular docking methodology based on Q-Networks. Appl. Soft Comput. Antonio Serrano, Baldomero Imbernón, Horacio Pérez Sánchez, José M. Cecilia, Andrés Bueno-Crespo, José L. Abellán
2020	J	`jnl`	STONNE: A Detailed Architectural Simulator for Flexible Neural Network Accelerators. CoRR Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna
2020	B	`conf`	Valkyrie: Leveraging Inter-TLB Locality to Enhance GPU Performance. PACT Trinayan Baruah, Yifan Sun, Saiful A. Mojumder, José L. Abellán, Yash Ukidave, Ajay Joshi, Norman Rubin, John Kim, David R. Kaeli
2019	—	`conf`	CNN-SIM: A Detailed Arquitectural Simulator of CNN Accelerators. Euro-Par Workshops Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio
2019	J	`jnl`	InsideNet: A tool for characterizing convolutional neural networks. Future Gener. Comput. Syst. Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio
2019	A*	`conf`	MGPUSim: enabling multi-GPU performance modeling and optimization. ISCA Yifan Sun, Trinayan Baruah, Saiful A. Mojumder, Shi Dong, Xiang Gong, Shane Treadway, Yuhui Bao, Spencer Hance, Carter McCardwell, Vincent Zhao, Harrison Barclay, Amir Kavyan Ziabari, Zhongliang Chen, Rafael Ubal, José L. Abellán, John Kim, Ajay Joshi, David R. Kaeli
2018	—	`conf`	Accelerating Drugs Discovery with Deep Reinforcement Learning: An Early Approach. ICPP Workshops Antonio Serrano, Baldomero Imbernón, Horacio Pérez Sánchez, José M. Cecilia, Andrés Bueno-Crespo, José L. Abellán
2018	J	`jnl`	High-throughput Ant Colony Optimization on graphics processing units. J. Parallel Distributed Comput. José M. Cecilia, Antonio Llanes, José L. Abellán, Juan Gómez-Luna, Li-Wen Chang, Wen-mei W. Hwu
2018	J	`jnl`	MGSim + MGMark: A Framework for Multi-GPU System Research. CoRR Yifan Sun, Trinayan Baruah, Saiful A. Mojumder, Shi Dong, Rafael Ubal, Xiang Gong, Shane Treadway, Yuhui Bao, Vincent Zhao, José L. Abellán, John Kim, Ajay Joshi, David R. Kaeli
2018	J	`jnl`	Photonic-based express coherence notifications for many-core CMPs. J. Parallel Distributed Comput. José L. Abellán, Eduardo Padierna, Alberto Ros, Manuel E. Acacio
2018	—	`conf`	Profiling DNN Workloads on a Volta-based DGX-1 System. IISWC Saiful A. Mojumder, Marcia S. Louis, Yifan Sun, Amir Kavyan Ziabari, José L. Abellán, John Kim, David R. Kaeli, Ajay Joshi
2017	J	`jnl`	Adaptive Tuning of Photonic Devices in a Photonic NoC Through Dynamic Workload Allocation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. José L. Abellán, Ayse K. Coskun, Anjun Gu, Warren Jin, Ajay Joshi, Andrew B. Kahng, Jonathan Klamkin, Cristian Morales, John Recchio, Vaishnav Srinivas, Tiansheng Zhang
2017	—	`conf`	Secure communications in wireless network-on-chips. AISTECS@HiPEAC Fernando Pereñíguez-Garcia, José L. Abellán
2016	J	`jnl`	Electro-Photonic NoC Designs for Kilocore Systems. ACM J. Emerg. Technol. Comput. Syst. José L. Abellán, Chao Chen, Ajay Joshi
2016	J	`jnl`	UMH: A Hardware-Based Unified Memory Hierarchy for Systems with Multiple Discrete GPUs. ACM Trans. Archit. Code Optim. Amir Kavyan Ziabari, Yifan Sun, Yenai Ma, Dana Schaa, José L. Abellán, Rafael Ubal, John Kim, Ajay Joshi, David R. Kaeli
2015	—	`conf`	Asymmetric NoC Architectures for GPU Systems. NOCS Amir Kavyan Ziabari, José L. Abellán, Yenai Ma, Ajay Joshi, David R. Kaeli
2015	—	`ch.`	Efficient Hardware-Supported Synchronization Mechanisms for Manycores. Handbook on Data Centers José L. Abellán, Juan Fernández, Manuel E. Acacio
2015	—	`conf`	Enhancing the Parallelization of Non-bonded Interactions Kernel for Virtual Screening on GPUs. IWBBIO (2) Baldomero Imbernon, Antonio Llanes, Jorge Peña-García, José L. Abellán, Horacio Pérez Sánchez, José M. Cecilia
2015	J	`jnl`	Fast and efficient commits for Lazy-Lazy hardware transactional memory. J. Supercomput. Epifanio Gaona-Ramírez, José L. Abellán, Manuel E. Acacio
2015	A	`conf`	Leveraging Silicon-Photonic NoC for Designing Scalable GPUs. ICS Amir Kavyan Ziabari, José L. Abellán, Rafael Ubal, Chao Chen, Ajay Joshi, David R. Kaeli
2015	J	`jnl`	Managing Laser Power in Silicon-Photonic NoC Through Cache and NoC Reconfiguration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Chao Chen, José L. Abellán, Ajay Joshi
2014	A	`conf`	Thermal management of manycore systems with silicon-photonic networks. DATE Tiansheng Zhang, José L. Abellán, Ajay Joshi, Ayse K. Coskun
2013	—	`conf`	Deploying Hardware Locks to Improve Performance and Energy Efficiency of Hardware Transactional Memory. ARCS Epifanio Gaona-Ramírez, José L. Abellán, Manuel E. Acacio, Juan Fernández
2013	J	`jnl`	Design of an efficient communication infrastructure for highly contended locks in many-core CMPs. J. Parallel Distributed Comput. José L. Abellán, Juan Fernández, Manuel E. Acacio
2013	—	`conf`	ECONO: Express coherence notifications for efficient cache coherency in many-core CMPs. ICSAMOS José L. Abellán, Alberto Ros, Juan Fernández Peinador, Manuel E. Acacio
2013	Misc	`conf`	Efficient Dir0B Cache Coherency for Many-Core CMPs. ICCS José L. Abellán, Alberto Ros, Juan Fernández, Manuel E. Acacio
2012	A	`conf`	Design of a collective communication infrastructure for barrier synchronization in cluster-based nanoscale MPSoCs. DATE José L. Abellán, Juan Fernández Peinador, Manuel E. Acacio, Davide Bertozzi, Daniele Bortolotti, Andrea Marongiu, Luca Benini
2012	J	`jnl`	Efficient Hardware Barrier Synchronization in Many-Core CMPs. IEEE Trans. Parallel Distributed Syst. José L. Abellán, Juan Fernández, Manuel E. Acacio
2012	J	`jnl`	Stencil computations on heterogeneous platforms for the Jacobi method: GPUs versus Cell BE. J. Supercomput. José M. Cecilia, José L. Abellán, Juan Fernández, Manuel E. Acacio, José M. García, Manuel Ujaldon
2011	A	`conf`	GLocks: Efficient Support for Highly-Contended Locks in Many-Core CMPs. IPDPS José L. Abellán, Juan Fernández, Manuel E. Acacio
2010	B	`conf`	A G-Line-Based Network for Fast and Efficient Barrier Synchronization in Many-Core CMPs. ICPP José L. Abellán, Juan Fernández, Manuel E. Acacio
2010	J	`jnl`	Characterizing the basic synchronization and communication operations in Dual Cell-based Blades through CellStats. J. Supercomput. José L. Abellán, Juan Fernández, Manuel E. Acacio
2010	—	`conf`	Efficient and scalable barrier synchronization for many-core CMPs. Conf. Computing Frontiers José L. Abellán, Juan Fernández, Manuel E. Acacio
2008	C	`conf`	CellStats: A Tool to Evaluate the Basic Synchronization and Communication Operations of the Cell BE. PDP José L. Abellán, Juan Fernández, Manuel E. Acacio
2008	—	`conf`	Characterizing the Basic Synchronization and Communication Operations in Dual Cell-Based Blades. ICCS (1) José L. Abellán, Juan Fernández, Manuel E. Acacio
2008	—	`conf`	Multicore Platforms for Scientific Computing: Cell BE and NVIDIA Tesla. CSC Juan Fernández, Manuel E. Acacio, Gregorio Bernabé, José L. Abellán, Joaquín Franco