Ivan Fernandez
Ivan Fernandez
Established Researcher at Barcelona Supercomputing Center
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About me
About me
Full-time researcher at Barcelona Supercomputing Center (Spain).
I obtained the degrees Bac +4 in Computer Engineering (University of Malaga, 2016), Master in Mechatronics Engineering (University of Malaga, 2017) and PhD in Mechatronics Engineering (University of Malaga, 2023).
My interest focuses in High Performance Computing and the use of Processing-Near-Memory to accelerate memory-bound applications.
PhD Thesis
Accelerating Time Series Analysis Via
Accelerating Time Series Analysis Via
Near-Data-Processing Approaches
Near-Data-Processing Approaches
Supervised by Oscar Plata and Eladio Gutierrez
Defended at University of Malaga (Spain)
30 June 2023 [PDF]
Publications
Case Studies On The Impact And Challenges Of Heterogeneous NUMA Architectures For HPC
Case Studies On The Impact And Challenges Of Heterogeneous NUMA Architectures For HPC
Lilia Zaourar, Mohamed Benazouz, Ayoub Mouhagir, Carlos Falquez, Antoni Portero, Nam Ho, Estela Suarez, Polydoros Petrakis, Manolis Marazakis, Francesco Sgherzi, Ivan Fernandez, Romain Dolbeau, Dirk Pleiter
Architecture of Computing Systems, 2024
SpChar: Characterizing The Sparse Puzzle Via Decision Trees
SpChar: Characterizing The Sparse Puzzle Via Decision Trees
Francesco Sgherzi, Marco Siracusa, Ivan Fernandez, Adrià Armejach, Miquel Moretó
Journal of Parallel and Distributed Computing, 2024
MATSA: An MRAM-Based Energy-Efficient Accelerator For Time Series Analysis
MATSA: An MRAM-Based Energy-Efficient Accelerator For Time Series Analysis
Ivan Fernandez, Christina Giannoula, Aditya Manglik, Ricardo Quislant, Nika Mansouri Ghiasi, Juan Gómez-Luna, Eladio Gutierrez, Oscar Plata and Onur Mutlu
IEEE Access, 2024
Comparing Assembly Strategies For Third-generation Sequencing Technologies Across Different Genomes
Comparing Assembly Strategies For Third-generation Sequencing Technologies Across Different Genomes
Elena Espinosa, Rocio Bautista, Ivan Fernandez, Rafael Larrosa, Emilio L Zapata and Oscar Plata
Genomics, 2023
Time Series Analysis Acceleration With Advanced Vectorization Extensions
Time Series Analysis Acceleration With Advanced Vectorization Extensions
Ricardo Quislant, Ivan Fernandez, Eladio Gutierrez and Oscar Plata
The Journal of Supercomputing, 2023
ALP: Alleviating CPU-memory Data Movement Overheads In Memory-Centric Systems
ALP: Alleviating CPU-memory Data Movement Overheads In Memory-Centric Systems
Nika Mansouri Ghiasi, Nandita Vijaykumar, Geraldo F Oliveira, Lois Orosa, Ivan Fernandez, Mohammad Sadrosadati, Konstantinos Kanellopoulos, Nastaran Hajinazar, Juan Gómez Luna and Onur Mutlu
IEEE Transactions on Emerging Topics in Computing, 2022
Exploiting Vector Extensions To Accelerate Time Series Analysis
Exploiting Vector Extensions To Accelerate Time Series Analysis
Ricardo Quislant, Ivan Fernandez, Eduardo Serralvo, Eladio Gutierrez and Oscar Plata
30th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP), 2022
TraTSA: A Transprecision Framework for Efficient Time Series Analysis
TraTSA: A Transprecision Framework for Efficient Time Series Analysis
Ivan Fernandez, Ricardo Quislant, Sonia Gonzalez-Navarro, Eladio Gutierrez and Oscar Plata
Journal of Computational Science, 2022
SparseP: Towards Efficient Sparse Matrix Vector Multiplication On Real Processing-In-Memory Architectures
SparseP: Towards Efficient Sparse Matrix Vector Multiplication On Real Processing-In-Memory Architectures
Christina Giannoula, Ivan Fernandez, Juan Gómez Luna, Nectarios Koziris, Georgios Goumas and Onur Mutlu
ACM on Measurement and Analysis of Computing Systems, 2022
Benchmarking A New Paradigm: Experimental Analysis And Characterization Of A Real Processing-In-Memory System
Benchmarking A New Paradigm: Experimental Analysis And Characterization Of A Real Processing-In-Memory System
Juan Gómez-Luna, Izzat El Hajj, Ivan Fernandez, Christina Giannoula, Geraldo F Oliveira and Onur Mutlu
IEEE Access, 2022
DAMOV: A New Methodology And Benchmark Suite For Evaluating Data Movement Bottlenecks
DAMOV: A New Methodology And Benchmark Suite For Evaluating Data Movement Bottlenecks
Geraldo F Oliveira, Juan Gómez-Luna, Lois Orosa, Saugata Ghose, Nandita Vijaykumar, Ivan Fernandez, Mohammad Sadrosadati and Onur Mutlu
IEEE Access, 2021
Enabling Fast and Energy-Efficient FM-index Exact Matching Using Processing-Near-Memory
Enabling Fast and Energy-Efficient FM-index Exact Matching Using Processing-Near-Memory
Jose M. Herruzo, Ivan Fernandez, Sonia González-Navarro and Oscar Plata
The Journal of Supercomputing, 2021 [PDF]
SynCron: Efficient Synchronization Support for Near-Data-Processing Architectures
SynCron: Efficient Synchronization Support for Near-Data-Processing Architectures
Christina Giannoula, Nandita Vijaykumar, Nikela Papadopoulou, Vasileios Karakostas, Ivan Fernandez, Juan Gómez-Luna, Lois Orosa, Nectarios Koziris, Georgios Goumas and Onur Mutlu
HPCA, 2021
NATSA: A Near-Data Processing Accelerator For Time Series Analysis
NATSA: A Near-Data Processing Accelerator For Time Series Analysis
Ivan Fernandez, Ricardo Quislant, Christina Giannoula, Mohammed Alser, Juan Gómez-Luna, Eladio Gutiérrez, Oscar Plata, and Onur Mutlu
ICCD, 2020
Energy-Efficient Time Series Analysis Using Transprecision Computing
Energy-Efficient Time Series Analysis Using Transprecision Computing
Ivan Fernandez, Ricardo Quislant, Eladio Gutiérrez and Oscar Plata
SBAC-PAD, 2020
Accelerating Time Series Motif Discovery In The Intel Xeon Phi KNL Processor
Accelerating Time Series Motif Discovery In The Intel Xeon Phi KNL Processor
Ivan Fernandez, Alejandro Villegas, Eladio Gutierrez and Oscar Plata
The Journal of Supercomputing, 2019 [PDF]
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Last update: 04 Sept 2024
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