Associate Professor (UCAM)

José L. Abellán, PhD


Postal Address:Universidad Católica de Murcia (UCAM),Campus de Los Jerónimos, Av. de los Jerónimos, 135, 30107Guadalupe, Murcia. SPAINEmail: jlabellan[at]ucam[dot]edu

Wellcome to my Website!

I am an Associate Professor with the Polytechnic School at the Universidad Católica de Murcia (UCAM), Spain. Since September 2018, I am the Secretary of the TCIA Doctoral Program. I lead the EcoArTech lab.

Short biography

José L. Abellán received the BS, MS, and Ph.D. degrees in Computer Science and Engineering at the University of Murcia (Spain), in 2007, 2008, and 2012, respectively. He is currently an Associate Professor with the Polytechnic School, Universidad Católica de Murcia (UCAM), Spain. Prior to joining UCAM in 2014, in the summer of 2011, he was a predoctoral researcher at the University of Ferrara (Italy). From 2012 to 2014, he was a postdoctoral researcher with the ICSG research laboratory, Boston University (USA).

He has authored over 50 refereed publications and 1 book. He has served as a TPC, as a Chair (program, publicity, session, and track chair), and as a co-organizer in numerous conferences and workshops. He is a full member of the HiPEAC European network, a Senior Member of IEEE, a member of the Spanish CAPA-H network, and a member of the ACM TACO distinguished reviewers Board. And since September 2021, he is a member of the Editorial Board of MDPI Electronics. He was the recipient of a HiPEAC 2011 collaboration grant, the best paper award at IPDPS 2011, the HiPEAC 2019 and 2020 paper awards, a best paper award nomination at NOCS 2021, and another one at IPDPS 2022. His research interests include HW/SW co-design for energy-efficient HPC and edge computing.

Complete version of my CV: August 2022

2022 NEWS:

  • August: Our paper "NaviSim: A Highly Accurate GPU Simulator for AMD RDNA GPUs" has been accepted at PACT'22.

  • August: Our paper "Accelerating Polynomial Multiplication for Homomorphic Encryption on GPUs" has been accepted at SEED'22.

  • July: Prof. Abellán is invited to serve as Publicity Co-Chair of HPCA 2023.

  • July: Francisco Muñoz starts a new position as Virtual Prototyping Engineer at Intel. He will defend his Ph.D. thesis after the summer. Congrats!

  • June: Our workshop "4th Accelerated Machine Learning (AccML'22) workshop" is taking place on June 22nd at HiPEAC'22.

  • June: Prof. Abellán is part of the Assessment Committee member for the Electronics 2021 Best Paper Awards for Anniversary Special Issues. Congrats to the winners!

  • June: Prof. Abellán is invited to serve as a TPC member for DATE'23 Topic D8 (Network-on-Chip and Communication-Centric Design).

  • May: Prof. Abellán is invited to serve as a TPC member for the prestigious HPCA'23 conference.

  • May: Francisco Muñoz has integrated STONNE into the SST simulation ecosystem! The tool is called SST-STONNE and is released along with the last SST 12.0 version.

  • April: Our paper "STIFT: A Spatio-Temporal Integrated Folding Tree for Efficient Reductions in Flexible DNN Accelerators" has been accepted at ACM JETC journal.

  • April: Prof. Abellán is invited to give a talk at the GPGPU 2022 workshop. Title: "Towards True Coherent Shared Memory for Next-Generation Multi-GPU Systems". Link

  • March: Our tutorial "STONNE: A Simulation Tool for Neural Network Engines" is running on March 1st at ASPLOS'22.

  • February: Our paper "Understanding the Design-Space of Sparse/Dense Multiphase GNN dataflows on Spatial Accelerators" is Best Paper Award Nominee (1/5) at IPDPS'22.

  • January: Our paper "Understanding the Design-Space of Sparse/Dense Multiphase GNN dataflows on Spatial Accelerators" has been accepted at IPDPS'22.

  • January: Antonio Serrano successfully defended his PhD Dissertation. Congrats!

Past news (-2021):

  • December 2021: Our tutorial "STONNE: A Simulation Tool for Neural Network Engines" has been accepted at ASPLOS'22 on March 1st.

  • November 2021: Prof. Abellán is invited to serve as a TPC member for the GPGPU 2022 workshop.

  • October 2021: Our workshop "4th Accelerated Machine Learning (AccML) workshop" has been accepted at HiPEAC'22.

  • September 2021: Prof. Abellán is invited to be a member of the Editorial Board of MDPI Electronics.

  • September 2021: Our paper "STONNE: Enabling Cycle-Level Microarchitectural Simulation for DNN Inference Accelerators" has been accepted at IISWC'21. A.R.: 39% (19/48).

  • August 2021: Our paper "A Novel Network Fabric for Efficient Spatio-Temporal Reduction in Flexible DNN Accelerators" is Best Paper Award Nominee (1/2) at NOCS'21.

  • July 2021: Prof. Abellán is invited to serve as a TPC member for DATE'22 (Topic D8: Network-on-Chip and On-Chip Communication).

  • July 2021: Our paper "A Novel Network Fabric for Efficient Spatio-Temporal Reduction in Flexible DNN Accelerators" has been accepted at NOCS'21.

  • July 2021: Our paper: "STONNE: Enabling Cycle-Level Microarchitectural Simulation for DNN Inference Accelerators" has been accepted at IEEE CAL journal (I.F.: 1.269).

  • July 2021: Prof. Abellán is named as IEEE Senior member.

  • June 2021: Our paper "Custom Tailored Suite of Random Forests for Prefetcher Adaptation" has been accepted at the MLArchSys'21 workshop that is co-located with ISCA'21.

  • June 2021: Prof. Abellán is invited to serve as Publicity Co-Chair of HPCA 2022.

  • May 2021: Our paper "The Challenge of Classification Confidence Estimation in Dynamically-Adaptive Neural Networks" has been accepted at SAMOS'21 (Special Session: "Insights from Negative Results").

  • March 2021: Our paper "Spartan: A Sparsity-Adaptive Framework to Accelerate Deep Neural Network Training on GPUs" has been accepted at TPDS journal (I.F.: 2.6).

  • February 2021: Prof. Abellán is invited to serve as a TPC member for PACT 2021.

  • February 2021: Our paper "GNNMark: A Benchmark Suite to Characterize Graph Neural Network Training on GPUs" has been accepted at ISPASS'21. A.R.: 36% (24/65).

  • January 2021: Prof. Abellán is invited to serve as one of the Publicity Chairs of NOCS 2021.

  • January 2021: Our workshop "3rd Accelerated Machine Learning (AccML) workshop" is taking place on January 18th at HiPEAC'21.

  • November 2020: Our paper "TAP-2.5D: A Thermally-Aware Chiplet Placement Methodology for 2.5D Systems" has been accepted at DATE'21. A.R.: 24%

  • November 2020: Francisco Muñoz-Martínez has been awarded with a prestigious HiPEAC Collaboration Grant to enjoy a stay with Tushar Krishna in his Synergy Laboratory at GATech in Atlanta (USA). Congrats Francisco!!

  • September 2020: Dr. José Cano (University of Glasgow, UK), Dr. Abellán, and Prof. Dr. David Kaeli (Northeastern University, USA) co-edit Special Issue "Energy-Efficient Computing Systems for Deep Learning" (Sustainability, IF: 2.576). Deadline: 30 April 2021.

  • August: Our paper "QN-Docking: An innovative molecular docking methodology based on Q-Networks" has been accepted at ASOC (I.F.: 5.472; Q1).

  • August 2020: Our paper "Design space exploration of accelerators and end-to-end DNN evaluation with TFLITE-SOC" has been accepted at SBAC-PAD'20. A.R.: 34% (30/87).

  • July 2020: Prof. Abellán is invited to serve on the Topics board of MDPI Electronics (IF: 2.412).

  • July 2020: Our paper: "Valkyrie: Leveraging Inter-TLB Locality to Enhance GPU Performance" has been accepted at PACT'20. A.R.: 25% (35/137).

  • June 2020: Antonio Serrano gave the best thesis talk of the TCIA doctoral program at Jornadas de Doctorado 2020. Congrats Antonio!

  • June 2020: Prof. Abellán is invited to serve on the TACO board of Distinguished Reviewers.

  • May 2020: Our workshop "2nd Accelerated Machine Learning (AccML) workshop" is taking place on May 31st at ISCA'20.

  • May 2020: Our tutorial "Exploring Multi-GPU Simulation and Visual Profiling with MGPUSim" is taking place on May 30th at ISCA'20.

  • April 2020: Prof. Davide Bertozzi (University of Ferrara, Italy), Dr. Abellán, and Prof. Mahdi Nikdast (Colorado State University, USA) co-edit Special Issue "Networks-on-chip Again on the Rise: from Emerging Applications to Emerging Technologies" (Micromachines, IF: 2.42). Deadline: October 2020.

  • March 2020: Prof. Abellán is invited by Prof. José Cano to deliver a seminar at his department at University of Glasgow: "New Architectural Simulators for Developing Next-Generation Computing Platforms: MGPUSim and STONNE".

  • February 2020: Our workshop "2nd Accelerated Machine Learning (AccML) workshop" has been accepted at ISCA'20.

  • February 2020: Our tutorial "Exploring Multi-GPU Simulation and Visual Profiling with MGPUSim" has been accepted at ISCA'20.

  • January 2020: "Career talk special: Creating MGPUSim through transatlantic collaboration" published at HiPEAC info 59 magazine.

  • December 2019: "METADOCK 2: A High-Throughput Parallel Metaheuristic Scheme for Molecular Docking" has been accepted at Bioinformatics.

  • November 2019: "Griffin: Hardware-Software Support for Efficient Page Migration in Multi-GPU systems" has been accepted at HPCA'20.

  • October 2019: "Tutorial on the Akita Simulator Framework and MGPUSim" has been accepted at HPCA'20.

  • September 2019: Prof. Abellán earns the HiPEAC paper award thanks to publishing at ISCA.

  • June 2019: Prof. Abellán appears in the news thanks to publishing at ISCA.

  • May 2019: Antonio Serrano gave the best 3-minute thesis talk of the TCIA doctoral program at Jornadas de Doctorado 2019. Congrats Antonio!

  • May 2019: "InsideNet: A Tool for Characterizing Convolutional Neural Networks" has been accepted at FGCS journal.

  • March 2019: "MGPUSim: Enabling Multi-GPU Performance Modeling and Optimization" has been accepted at ISCA'19.

  • February 2019: Prof. Abellán is promoted to Associate Professor at UCAM.

  • January 2019: Prof. Abellán is invited to give a talk at AISTECS@HiPEAC19