José L. Abellán

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 45

Top Topics

Design Space Exploration

Convolutional Neural Networks

Memory Hierarchy

Top Venues

ACM J. Emerg. Technol. Comput. Syst.

Publications

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 (2024)
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)
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)
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) (2024)
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)
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 (2023)
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)
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) (2023)
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)
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) (2023)
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 (2023)
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 (2023)
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)
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)
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 (2022)
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)
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 (2022)
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) (2021)
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 (2021)
Yenai Ma, Leila Delshadtehrani, Cansu Demirkiran, José L. Abellán, Aiav Joshi
TAP-2.5D: A Thermally-Aware Chiplet Placement Methodology for 2.5D Systems. DATE (2021)
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)
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) (2021)
Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna
STONNE: Enabling Cycle-Level Microarchitectural Simulation for DNN Inference Accelerators. IISWC (2021)
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)
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)
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) (2021)
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)
Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna
STONNE: A Detailed Architectural Simulator for Flexible Neural Network Accelerators. CoRR (2020)
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)
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 (2020)
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 (2020)
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 (2020)
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)
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)
Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio
InsideNet: A tool for characterizing convolutional neural networks. Future Gener. Comput. Syst. 100 (2019)
Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio
CNN-SIM: A Detailed Arquitectural Simulator of CNN Accelerators. Euro-Par Workshops (2019)
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 (2018)
José L. Abellán, Eduardo Padierna, Alberto Ros, Manuel E. Acacio
Photonic-based express coherence notifications for many-core CMPs. J. Parallel Distributed Comput. 113 (2018)
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)
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)
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 (2018)
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) (2017)
Fernando Pereñíguez-Garcia, José L. Abellán
Secure communications in wireless network-on-chips. AISTECS@HiPEAC (2017)
José L. Abellán, Chao Chen, Ajay Joshi
Electro-Photonic NoC Designs for Kilocore Systems. ACM J. Emerg. Technol. Comput. Syst. 13 (2) (2016)
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) (2016)
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)
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) (2015)
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)
Epifanio Gaona-Ramírez, José L. Abellán, Manuel E. Acacio
Fast and efficient commits for Lazy-Lazy hardware transactional memory. J. Supercomput. 71 (12) (2015)
Amir Kavyan Ziabari, José L. Abellán, Yenai Ma, Ajay Joshi, David R. Kaeli
Asymmetric NoC Architectures for GPU Systems. NOCS (2015)
Tiansheng Zhang, José L. Abellán, Ajay Joshi, Ayse K. Coskun
Thermal management of manycore systems with silicon-photonic networks. DATE (2014)
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)
José L. Abellán, Alberto Ros, Juan Fernández, Manuel E. Acacio
Efficient Dir0B Cache Coherency for Many-Core CMPs. ICCS (2013)
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) (2013)
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)
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)
José L. Abellán, Juan Fernández, Manuel E. Acacio
Efficient Hardware Barrier Synchronization in Many-Core CMPs. IEEE Trans. Parallel Distributed Syst. 23 (8) (2012)
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) (2012)
José L. Abellán, Juan Fernández, Manuel E. Acacio
GLocks: Efficient Support for Highly-Contended Locks in Many-Core CMPs. IPDPS (2011)
José L. Abellán, Juan Fernández, Manuel E. Acacio
Efficient and scalable barrier synchronization for many-core CMPs. Conf. Computing Frontiers (2010)
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) (2010)
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)
Juan Fernández, Manuel E. Acacio, Gregorio Bernabé, José L. Abellán, Joaquín Franco
Multicore Platforms for Scientific Computing: Cell BE and NVIDIA Tesla. CSC (2008)
José L. Abellán, Juan Fernández, Manuel E. Acacio
Characterizing the Basic Synchronization and Communication Operations in Dual Cell-Based Blades. ICCS (1) (2008)
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)