Juan José Fumero

According to our database, Juan José Fumero authored at least 32 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Programming Heterogeneous Hardware via Managed Runtime Systems

Juan Fumero, Athanasios Stratikopoulos, Christos Kotselidis

Springer Briefs in Computer Science, Springer, ISBN: 978-3-031-49558-8, 2024

Towards GPU Accelerated FHE Computations.

Orion Papadakis, Michail Papadimitriou, Athanasios Stratikopoulos, Maria Xekalaki, Juan Fumero, Nikos Foutris, Christos Kotselidis

Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2024

2023

TornadoQSim: An Open-source High-Performance and Modular Quantum Circuit Simulation Framework.

Ales Kubicek, Athanasios Stratikopoulos, Juan Fumero, Nikos Foutris, Christos Kotselidis

CoRR, 2023

Experiences in Building a Composable and Functional API for Runtime SPIR-V Code Generation.

Juan Fumero, György Réthy, Athanasios Stratikopoulos, Nikos Foutris, Christos Kotselidis

CoRR, 2023

Accelerating Java Ray Tracing Applications on Heterogeneous Hardware.

Vinh Pham Van, Juan Fumero, Athanasios Stratikopoulos, Florin Blanaru, Christos Kotselidis

CoRR, 2023

Beehive SPIR-V Toolkit: A Composable and Functional API for Runtime SPIR-V Code Generation.

Juan Fumero, György Réthy, Athanasios Stratikopoulos, Nikos Foutris, Christos Kotselidis

Proceedings of the 15th ACM SIGPLAN International Workshop on Virtual Machines and Intermediate Languages, 2023

Cross-Language Interoperability of Heterogeneous Code.

Athanasios Stratikopoulos, Florin Blanaru, Juan Fumero, Maria Xekalaki, Orion Papadakis, Christos Kotselidis

Proceedings of the Companion Proceedings of the 7th International Conference on the Art, 2023

Unified Shared Memory: Friend or Foe? Understanding the Implications of Unified Memory on Managed Heaps.

Juan Fumero, Florin Blanaru, Athanasios Stratikopoulos, Steve Dohrmann, Sandhya Viswanathan, Christos Kotselidis

Proceedings of the 20th ACM SIGPLAN International Conference on Managed Programming Languages and Runtimes, 2023

2022

Enabling Transparent Acceleration of Big Data Frameworks using Heterogeneous Hardware.

Maria Xekalaki, Juan Fumero, Athanasios Stratikopoulos, Katerina Doka, Christos Katsakioris, Constantinos Bitsakos, Nectarios Koziris, Christos Kotselidis

Proc. VLDB Endow., 2022

Enabling pipeline parallelism in heterogeneous managed runtime environments via batch processing.

Florin Blanaru, Athanasios Stratikopoulos, Juan Fumero, Christos Kotselidis

Proceedings of the VEE '22: 18th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments, 2022

2021

Transparent Compiler and Runtime Specializations for Accelerating Managed Languages on FPGAs.

Michail Papadimitriou, Juan Fumero, Athanasios Stratikopoulos, Foivos S. Zakkak, Christos Kotselidis

Art Sci. Eng. Program., 2021

Multiple-tasks on multiple-devices (MTMD): exploiting concurrency in heterogeneous managed runtimes.

Michail Papadimitriou, Eleni Markou, Juan Fumero, Athanasios Stratikopoulos, Florin Blanaru, Christos Kotselidis

Proceedings of the VEE '21: 17th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments, 2021

Automatically exploiting the memory hierarchy of GPUs through just-in-time compilation.

Michail Papadimitriou, Juan Fumero, Athanasios Stratikopoulos, Christos Kotselidis

Proceedings of the VEE '21: 17th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments, 2021

2020

Towards High Performance Java-based Deep Learning Frameworks.

Athanasios Stratikopoulos, Juan Fumero, Zoran Sevarac, Christos Kotselidis

CoRR, 2020

Running parallel bytecode interpreters on heterogeneous hardware.

Juan Fumero, Athanasios Stratikopoulos, Christos Kotselidis

Proceedings of the Programming'20: 4th International Conference on the Art, 2020

Transparent acceleration of Java-based deep learning engines.

Athanasios Stratikopoulos, Mihai-Cristian Olteanu, Ian Vaughan, Zoran Sevarac, Nikos Foutris, Juan Fumero, Christos Kotselidis

Proceedings of the MPLR '20: 17th International Conference on Managed Programming Languages and Runtimes, 2020

2019

Dynamic application reconfiguration on heterogeneous hardware.

Juan Fumero, Michail Papadimitriou, Foivos S. Zakkak, Maria Xekalaki, James Clarkson, Christos Kotselidis

Proceedings of the 15th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments, 2019

Towards Prototyping and Acceleration of Java Programs onto Intel FPGAs.

Michail Papadimitriou, Juan Fumero, Athanasios Stratikopoulos, Christos Kotselidis

Proceedings of the 27th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2019

2018

Towards practical heterogeneous virtual machines.

James Clarkson, Juan Fumero, Michail Papadimitriou, Maria Xekalaki, Christos Kotselidis

Proceedings of the Conference Companion of the 2nd International Conference on Art, 2018

Exploiting high-performance heterogeneous hardware for Java programs using graal.

James Clarkson, Juan Fumero, Michail Papadimitriou, Foivos S. Zakkak, Maria Xekalaki, Christos Kotselidis, Mikel Luján

Proceedings of the 15th International Conference on Managed Languages & Runtimes, 2018

Using compiler snippets to exploit parallelism on heterogeneous hardware: a Java reduction case study.

Juan Fumero, Christos Kotselidis

Proceedings of the 10th ACM SIGPLAN International Workshop on Virtual Machines and Intermediate Languages, 2018

Challenges and Proposals for Enabling Dynamic Heterogeneous Execution of Big Data Frameworks.

Maria Xekalaki, Juan Fumero, Christos Kotselidis

Proceedings of the 2018 IEEE International Conference on Cloud Computing Technology and Science, 2018

ScootR: Scaling R Dataframes on Dataflow Systems.

Andreas Kunft, Lukas Stadler, Daniele Bonetta, Cosmin Basca, Jens Meiners, Sebastian Breß, Tilmann Rabl, Juan José Fumero, Volker Markl

Proceedings of the ACM Symposium on Cloud Computing, 2018

2017

Accelerating interpreted programming languages on GPUs with just-in-time compilation and runtime optimisations.

Juan José Fumero

PhD thesis, 2017

Just-In-Time GPU Compilation for Interpreted Languages with Partial Evaluation.

Juan José Fumero, Michel Steuwer, Lukas Stadler, Christophe Dubach

Proceedings of the 13th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments, 2017

2015

Runtime Code Generation and Data Management for Heterogeneous Computing in Java.

Juan José Fumero, Toomas Remmelg, Michel Steuwer, Christophe Dubach

Proceedings of the Principles and Practices of Programming on The Java Platform, 2015

2014

A Composable Array Function Interface for Heterogeneous Computing in Java.

Juan José Fumero, Michel Steuwer, Christophe Dubach

Proceedings of the ARRAY'14: Proceedings of the 2014 ACM SIGPLAN International Workshop on Libraries, 2014

2013

A preliminary evaluation of OpenACC implementations.

Ruymán Reyes, Iván López-Rodríguez, Juan J. Fumero, Francisco de Sande

J. Supercomput., 2013

Programming for GPUs: The Directive-Based Approach.

Lucas Grillo, Francisco de Sande, Juan J. Fumero, Ruymán Reyes

Proceedings of the Eighth International Conference on P2P, 2013

2012

accULL: An User-directed Approach to Heterogeneous Programming.

Ruymán Reyes, Iván López-Rodríguez, Juan J. Fumero, Francisco de Sande

Proceedings of the 10th IEEE International Symposium on Parallel and Distributed Processing with Applications, 2012

Directive-based Programming for GPUs: A Comparative Study.

Ruymán Reyes, Iván López-Rodríguez, Juan J. Fumero, Francisco de Sande

Proceedings of the 14th IEEE International Conference on High Performance Computing and Communication & 9th IEEE International Conference on Embedded Software and Systems, 2012

accULL: An OpenACC Implementation with CUDA and OpenCL Support.

Ruymán Reyes, Iván López-Rodríguez, Juan J. Fumero, Francisco de Sande

Proceedings of the Euro-Par 2012 Parallel Processing - 18th International Conference, 2012