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ORCIDJosé L. Abellán
José Luis Abellán Miguel
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2020 – today
- 2024
[j20]Gilbert Jonatan
, Haeyoon Cho, Hyojun Son, Xiangyu Wu, Neal Livesay, Evelio Mora, Kaustubh Shivdikar, José L. Abellán, Ajay Joshi, David R. Kaeli, John Kim:
Scalability Limitations of Processing-in-Memory using Real System Evaluations. Proc. ACM Meas. Anal. Comput. Syst. 8(1): 5:1-5:28 (2024)- [c35]Nicolas Bohm Agostini, Jude Haris, Perry Gibson, Malith Jayaweera, Norm Rubin, Antonino Tumeo, José L. Abellán, José Cano, David R. Kaeli:
AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators. CGO 2024: 143-157 - [c34]Kaustubh Shivdikar, Nicolas Bohm Agostini, Malith Jayaweera, Gilbert Jonatan, José L. Abellán, Ajay Joshi, John Kim, David R. Kaeli:
NeuraChip: Accelerating GNN Computations with a Hash-based Decoupled Spatial Accelerator. ISCA 2024: 946-960 - [c33]Gilbert Jonatan, Haeyoon Cho, Hyojun Son, Xiangyu Wu, Neal Livesay, Evelio Mora, Kaustubh Shivdikar, José L. Abellán, Ajay Joshi, David R. Kaeli, John Kim:
Scalability Limitations of Processing-in-Memory using Real System Evaluations. SIGMETRICS/Performance (Abstracts) 2024: 63-64 - [i11]Kaustubh Shivdikar, Nicolas Bohm Agostini, Malith Jayaweera, Gilbert Jonatan, José L. Abellán, Ajay Joshi, John Kim, David R. Kaeli:
NeuraChip: Accelerating GNN Computations with a Hash-based Decoupled Spatial Accelerator. CoRR abs/2404.15510 (2024) - 2023
- [j19]Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna:
STIFT: A Spatio-Temporal Integrated Folding Tree for Efficient Reductions in Flexible DNN Accelerators. ACM J. Emerg. Technol. Comput. Syst. 19(4): 32:1-32:20 (2023) - [j18]Neal Livesay, Gilbert Jonatan, Evelio Mora, Kaustubh Shivdikar, Rashmi Agrawal, Ajay Joshi, José L. Abellán, John Kim, David R. Kaeli:
Accelerating Finite Field Arithmetic for Homomorphic Encryption on GPUs. IEEE Micro 43(5): 55-63 (2023) - [j17]Furkan Eris, Marcia S. Louis, Kubra Eris, José Luis Abellán Miguel, Ajay Joshi:
Puppeteer: A Random Forest Based Manager for Hardware Prefetchers Across the Memory Hierarchy. ACM Trans. Archit. Code Optim. 20(1): 19:1-19:25 (2023) - [c32]Francisco Muñoz-Martínez, Raveesh Garg, Michael Pellauer, José L. Abellán, Manuel E. Acacio, Tushar Krishna:
Flexagon: A Multi-dataflow Sparse-Sparse Matrix Multiplication Accelerator for Efficient DNN Processing. ASPLOS (3) 2023: 252-265 - [c31]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:
GME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic Encryption. MICRO 2023: 670-684 - [i10]Francisco Muñoz-Martínez, Raveesh Garg, José L. Abellán, Michael Pellauer, Manuel E. Acacio, Tushar Krishna:
Flexagon: A Multi-Dataflow Sparse-Sparse Matrix Multiplication Accelerator for Efficient DNN Processing. CoRR abs/2301.10852 (2023) - [i9]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:
GME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic Encryption. CoRR abs/2309.11001 (2023) - [i8]Nicolas Bohm Agostini, Jude Haris, Perry Gibson, Malith Jayaweera, Norm Rubin, Antonino Tumeo, José L. Abellán, José Cano, David R. Kaeli:
AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators. CoRR abs/2312.14821 (2023) - 2022
- [c30]Yuhui Bao, Yifan Sun, Zlatan Feric, Michael Tian Shen, Micah Weston, José L. Abellán, Trinayan Baruah, John Kim, Ajay Joshi, David R. Kaeli:
NaviSim: A Highly Accurate GPU Simulator for AMD RDNA GPUs. PACT 2022: 333-345 - [c29]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:
Understanding the Design-Space of Sparse/Dense Multiphase GNN dataflows on Spatial Accelerators. IPDPS 2022: 571-582 - [c28]Kaustubh Shivdikar, Gilbert Jonatan, Evelio Mora, Neal Livesay, Rashmi Agrawal, Ajay Joshi, José L. Abellán, John Kim, David R. Kaeli:
Accelerating Polynomial Multiplication for Homomorphic Encryption on GPUs. SEED 2022: 61-72 - [i7]Furkan Eris, Marcia S. Louis, Kubra Eris, José L. Abellán, Ajay Joshi:
Puppeteer: A Random Forest-based Manager for Hardware Prefetchers across the Memory Hierarchy. CoRR abs/2201.12027 (2022) - [i6]Kaustubh Shivdikar, Gilbert Jonatan, Evelio Mora, Neal Livesay, Rashmi Agrawal, Ajay Joshi, José L. Abellán, John Kim, David R. Kaeli:
Accelerating Polynomial Multiplication for Homomorphic Encryption on GPUs. CoRR abs/2209.01290 (2022) - 2021
- [j16]Baldomero Imbernón, Antonio Serrano, Andrés Bueno-Crespo, José L. Abellán, Horacio Pérez Sánchez, José M. Cecilia:
METADOCK 2: a high-throughput parallel metaheuristic scheme for molecular docking. Bioinform. 37(11): 1515-1520 (2021) - [j15]Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna:
STONNE: Enabling Cycle-Level Microarchitectural Simulation for DNN Inference Accelerators. IEEE Comput. Archit. Lett. 20(2): 122-125 (2021) - [j14]Shi Dong, Yifan Sun, Nicolas Bohm Agostini, Elmira Karimi, Daniel Lowell, Jing Zhou, José Cano, José L. Abellán, David R. Kaeli:
Spartan: A Sparsity-Adaptive Framework to Accelerate Deep Neural Network Training on GPUs. IEEE Trans. Parallel Distributed Syst. 32(10): 2448-2463 (2021) - [c27]Yenai Ma, Leila Delshadtehrani, Cansu Demirkiran, José L. Abellán, Ajay Joshi:
TAP-2.5D: A Thermally-Aware Chiplet Placement Methodology for 2.5D Systems. DATE 2021: 1246-1251 - [c26]Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna:
STONNE: Enabling Cycle-Level Microarchitectural Simulation for DNN Inference Accelerators. IISWC 2021: 201-213 - [c25]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:
GNNMark: A Benchmark Suite to Characterize Graph Neural Network Training on GPUs. ISPASS 2021: 13-23 - [c24]Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna:
A novel network fabric for efficient spatio-temporal reduction in flexible DNN accelerators. NOCS 2021: 1-8 - [c23]Francesco Dall'Occo, Andrés Bueno-Crespo, José L. Abellán, Davide Bertozzi, Michele Favalli:
The Challenge of Classification Confidence Estimation in Dynamically-Adaptive Neural Networks. SAMOS 2021: 505-522 - [i5]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:
A Taxonomy for Classification and Comparison of Dataflows for GNN Accelerators. CoRR abs/2103.07977 (2021) - 2020
- [j13]Antonio Serrano, Baldomero Imbernón, Horacio Pérez Sánchez, José M. Cecilia, Andrés Bueno-Crespo, José L. Abellán:
QN-Docking: An innovative molecular docking methodology based on Q-Networks. Appl. Soft Comput. 96: 106678 (2020) - [c22]Trinayan Baruah, Yifan Sun, Saiful A. Mojumder, José L. Abellán, Yash Ukidave, Ajay Joshi, Norman Rubin, John Kim, David R. Kaeli:
Valkyrie: Leveraging Inter-TLB Locality to Enhance GPU Performance. PACT 2020: 455-466 - [c21]Trinayan Baruah, Yifan Sun, Ali Tolga Dinçer, Saiful A. Mojumder, José L. Abellán, Yash Ukidave, Ajay Joshi, Norman Rubin, John Kim, David R. Kaeli:
Griffin: Hardware-Software Support for Efficient Page Migration in Multi-GPU Systems. HPCA 2020: 596-609 - [c20]Nicolas Bohm Agostini, Shi Dong, Elmira Karimi, Marti Torrents Lapuerta, José Cano, José L. Abellán, David R. Kaeli:
Design Space Exploration of Accelerators and End-to-End DNN Evaluation with TFLITE-SOC. SBAC-PAD 2020: 10-19 - [i4]Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna:
STONNE: A Detailed Architectural Simulator for Flexible Neural Network Accelerators. CoRR abs/2006.07137 (2020) - [i3]Saiful A. Mojumder, Yifan Sun, Leila Delshadtehrani, Yenai Ma, Trinayan Baruah, José L. Abellán, John Kim, David R. Kaeli, Ajay Joshi:
HALCONE : A Hardware-Level Timestamp-based Cache Coherence Scheme for Multi-GPU systems. CoRR abs/2007.04292 (2020) - [i2]Saiful A. Mojumder, Yifan Sun, Leila Delshadtehrani, Yenai Ma, Trinayan Baruah, José L. Abellán, John Kim, David R. Kaeli, Ajay Joshi:
MGPU-TSM: A Multi-GPU System with Truly Shared Memory. CoRR abs/2008.02300 (2020)
2010 – 2019
- 2019
- [j12]Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio:
InsideNet: A tool for characterizing convolutional neural networks. Future Gener. Comput. Syst. 100: 298-315 (2019) - [c19]Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio:
CNN-SIM: A Detailed Arquitectural Simulator of CNN Accelerators. Euro-Par Workshops 2019: 720-724 - [c18]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:
MGPUSim: enabling multi-GPU performance modeling and optimization. ISCA 2019: 197-209 - 2018
- [j11]José L. Abellán, Eduardo Padierna, Alberto Ros, Manuel E. Acacio:
Photonic-based express coherence notifications for many-core CMPs. J. Parallel Distributed Comput. 113: 179-194 (2018) - [j10]José M. Cecilia, Antonio Llanes, José L. Abellán, Juan Gómez-Luna, Li-Wen Chang, Wen-Mei W. Hwu:
High-throughput Ant Colony Optimization on graphics processing units. J. Parallel Distributed Comput. 113: 261-274 (2018) - [c17]Antonio Serrano, Baldomero Imbernón, Horacio Pérez Sánchez, José M. Cecilia, Andrés Bueno-Crespo, José L. Abellán:
Accelerating Drugs Discovery with Deep Reinforcement Learning: An Early Approach. ICPP Workshops 2018: 6:1-6:8 - [c16]Saiful A. Mojumder, Marcia S. Louis, Yifan Sun, Amir Kavyan Ziabari, José L. Abellán, John Kim, David R. Kaeli, Ajay Joshi:
Profiling DNN Workloads on a Volta-based DGX-1 System. IISWC 2018: 122-133 - [i1]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:
MGSim + MGMark: A Framework for Multi-GPU System Research. CoRR abs/1811.02884 (2018) - 2017
- [j9]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:
Adaptive Tuning of Photonic Devices in a Photonic NoC Through Dynamic Workload Allocation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36(5): 801-814 (2017) - [c15]Fernando Pereñíguez-Garcia, José L. Abellán:
Secure communications in wireless network-on-chips. AISTECS@HiPEAC 2017: 27-32 - [e1]Sören Sonntag, José Manuel García Carrasco, José Luis Abellán Miguel, Daniel Müller-Gritschneder:
Proceedings of the 2nd International Workshop on Advanced Interconnect Solutions and Technologies for Emerging Computing Systems, AISTECS@HiPEAC 2017, Stockholm, Sweden, January 25, 2017. ACM 2017, ISBN 978-1-4503-5226-0 [contents] - 2016
- [j8]José L. Abellán, Chao Chen, Ajay Joshi:
Electro-Photonic NoC Designs for Kilocore Systems. ACM J. Emerg. Technol. Comput. Syst. 13(2): 24:1-24:25 (2016) - [j7]Amir Kavyan Ziabari, Yifan Sun, Yenai Ma, Dana Schaa, José L. Abellán, Rafael Ubal, John Kim, Ajay Joshi, David R. Kaeli:
UMH: A Hardware-Based Unified Memory Hierarchy for Systems with Multiple Discrete GPUs. ACM Trans. Archit. Code Optim. 13(4): 35:1-35:25 (2016) - 2015
- [j6]Chao Chen, José L. Abellán, Ajay Joshi:
Managing Laser Power in Silicon-Photonic NoC Through Cache and NoC Reconfiguration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34(6): 972-985 (2015) - [j5]Epifanio Gaona-Ramírez, José L. Abellán, Manuel E. Acacio:
Fast and efficient commits for Lazy-Lazy hardware transactional memory. J. Supercomput. 71(12): 4305-4326 (2015) - [c14]Amir Kavyan Ziabari, José L. Abellán, Rafael Ubal, Chao Chen, Ajay Joshi, David R. Kaeli:
Leveraging Silicon-Photonic NoC for Designing Scalable GPUs. ICS 2015: 273-282 - [c13]Baldomero Imbernon, Antonio Llanes, Jorge Peña-García, José L. Abellán, Horacio Pérez Sánchez, José M. Cecilia:
Enhancing the Parallelization of Non-bonded Interactions Kernel for Virtual Screening on GPUs. IWBBIO (2) 2015: 620-626 - [c12]Amir Kavyan Ziabari, José L. Abellán, Yenai Ma, Ajay Joshi, David R. Kaeli:
Asymmetric NoC Architectures for GPU Systems. NOCS 2015: 25:1-25:8 - [r1]José L. Abellán, Juan Fernández, Manuel E. Acacio:
Efficient Hardware-Supported Synchronization Mechanisms for Manycores. Handbook on Data Centers 2015: 753-803 - 2014
- [c11]Tiansheng Zhang, José L. Abellán, Ajay Joshi, Ayse K. Coskun:
Thermal management of manycore systems with silicon-photonic networks. DATE 2014: 1-6 - 2013
- [j4]José L. Abellán, Juan Fernández, Manuel E. Acacio:
Design of an efficient communication infrastructure for highly contended locks in many-core CMPs. J. Parallel Distributed Comput. 73(7): 972-985 (2013) - [c10]Epifanio Gaona-Ramírez, José L. Abellán, Manuel E. Acacio, Juan Fernández:
Deploying Hardware Locks to Improve Performance and Energy Efficiency of Hardware Transactional Memory. ARCS 2013: 220-231 - [c9]José L. Abellán, Alberto Ros, Juan Fernández, Manuel E. Acacio:
Efficient Dir0B Cache Coherency for Many-Core CMPs. ICCS 2013: 2545-2548 - [c8]José L. Abellán, Alberto Ros, Juan Fernández Peinador, Manuel E. Acacio:
ECONO: Express coherence notifications for efficient cache coherency in many-core CMPs. ICSAMOS 2013: 237-244 - 2012
- [j3]José M. Cecilia, José L. Abellán, Juan Fernández, Manuel E. Acacio, José M. García, Manuel Ujaldon:
Stencil computations on heterogeneous platforms for the Jacobi method: GPUs versus Cell BE. J. Supercomput. 62(2): 787-803 (2012) - [j2]José L. Abellán, Juan Fernández, Manuel E. Acacio:
Efficient Hardware Barrier Synchronization in Many-Core CMPs. IEEE Trans. Parallel Distributed Syst. 23(8): 1453-1466 (2012) - [c7]José L. Abellán, Juan Fernández Peinador, Manuel E. Acacio, Davide Bertozzi, Daniele Bortolotti, Andrea Marongiu, Luca Benini:
Design of a collective communication infrastructure for barrier synchronization in cluster-based nanoscale MPSoCs. DATE 2012: 491-496 - 2011
- [c6]José L. Abellán, Juan Fernández, Manuel E. Acacio:
GLocks: Efficient Support for Highly-Contended Locks in Many-Core CMPs. IPDPS 2011: 893-905 - 2010
- [j1]José L. Abellán, Juan Fernández, Manuel E. Acacio:
Characterizing the basic synchronization and communication operations in Dual Cell-based Blades through CellStats. J. Supercomput. 53(2): 247-268 (2010) - [c5]José L. Abellán, Juan Fernández, Manuel E. Acacio:
Efficient and scalable barrier synchronization for many-core CMPs. Conf. Computing Frontiers 2010: 73-74 - [c4]José L. Abellán, Juan Fernández, Manuel E. Acacio:
A G-Line-Based Network for Fast and Efficient Barrier Synchronization in Many-Core CMPs. ICPP 2010: 267-276
2000 – 2009
- 2008
- [c3]Juan Fernández, Manuel E. Acacio, Gregorio Bernabé, José L. Abellán, Joaquín Franco:
Multicore Platforms for Scientific Computing: Cell BE and NVIDIA Tesla. CSC 2008: 167-173 - [c2]José L. Abellán, Juan Fernández, Manuel E. Acacio:
Characterizing the Basic Synchronization and Communication Operations in Dual Cell-Based Blades. ICCS (1) 2008: 456-465 - [c1]José L. Abellán, Juan Fernández, Manuel E. Acacio:
CellStats: A Tool to Evaluate the Basic Synchronization and Communication Operations of the Cell BE. PDP 2008: 261-268
Coauthor Index
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last updated on 2024-10-04 21:03 CEST by the dblp team
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