Björn Forsberg

According to our database, Björn Forsberg authored at least 21 papers between 2016 and 2024.

Collaborative distances:

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

2024

Data-Driven Power Modeling and Monitoring via Hardware Performance Counters Tracking.

Sergio Mazzola, Gabriele Ara, Thomas Benz, Björn Forsberg, Tommaso Cucinotta, Luca Benini

CoRR, 2024

2022

HEROv2 Software Development Kit (SDK) Docker Image.

Andreas Kurth, Björn Forsberg, Luca Benini

Dataset, May, 2022

HEROv2: Full-Stack Open-Source Research Platform for Heterogeneous Computing.

Andreas Kurth, Björn Forsberg, Luca Benini

IEEE Trans. Parallel Distributed Syst., 2022

A Data-Driven Approach to Lightweight DVFS-Aware Counter-Based Power Modeling for Heterogeneous Platforms.

Sergio Mazzola, Thomas Benz, Björn Forsberg, Luca Benini

Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2022

2021

The Predictable Execution Model in Practice: Compiling Real Applications for COTS Hardware.

Björn Forsberg, Marco Solieri, Marko Bertogna, Luca Benini, Andrea Marongiu

ACM Trans. Embed. Comput. Syst., 2021

HePREM: A Predictable Execution Model for GPU-based Heterogeneous SoCs.

Björn Forsberg, Luca Benini, Andrea Marongiu

IEEE Trans. Computers, 2021

Analyzing Memory Interference of FPGA Accelerators on Multicore Hosts in Heterogeneous Reconfigurable SoCs.

Maxim Mattheeuws, Björn Forsberg, Andreas Kurth, Luca Benini

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020

Fast and reliable alignment and classification of biological macromolecules in electron microscopy images.

Björn Forsberg

PhD thesis, 2020

A Synergistic Approach to Predictable Compilation and Scheduling on Commodity Multi-Cores.

Björn Forsberg, Maxim Mattheeuws, Andreas Kurth, Andrea Marongiu, Luca Benini

Proceedings of the 21st ACM SIGPLAN/SIGBED International Conference on Languages, 2020

The AMPERE Project: : A Model-driven development framework for highly Parallel and EneRgy-Efficient computation supporting multi-criteria optimization.

Eduardo Quiñones, Sara Royuela, Claudio Scordino, Paolo Gai, Luís Miguel Pinho, Luís Nogueira, Jan Rollo, Tommaso Cucinotta, Alessandro Biondi, Arne Hamann, Dirk Ziegenbein, Hadi Saoud, Romain Soulat, Björn Forsberg, Luca Benini, Gianluca Mandò, Luigi Rucher

Proceedings of the 23rd IEEE International Symposium on Real-Time Distributed Computing, 2020

Mixed-data-model heterogeneous compilation and OpenMP offloading.

Andreas Kurth, Koen Wolters, Björn Forsberg, Alessandro Capotondi, Andrea Marongiu, Tobias Grosser, Luca Benini

Proceedings of the CC '20: 29th International Conference on Compiler Construction, 2020

2019

Combining PREM compilation and static scheduling for high-performance and predictable MPSoC execution.

Joel Matejka, Björn Forsberg, Michal Sojka, Premysl Sucha, Luca Benini, Andrea Marongiu, Zdenek Hanzálek

Parallel Comput., 2019

Taming Data Caches for Predictable Execution on GPU-based SoCs.

Björn Forsberg, Luca Benini, Andrea Marongiu

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018

On the Cost of Freedom From Interference in Heterogeneous SoCs.

Björn Forsberg, Luca Benini, Andrea Marongiu

Proceedings of the 21st International Workshop on Software and Compilers for Embedded Systems, 2018

Combining PREM compilation and ILP scheduling for high-performance and predictable MPSoC execution.

Joel Matejka, Björn Forsberg, Michal Sojka, Zdenek Hanzálek, Luca Benini, Andrea Marongiu

Proceedings of the 9th International Workshop on Programming Models and Applications for Multicores and Manycores, 2018

HePREM: Enabling predictable GPU execution on heterogeneous SoC.

Björn Forsberg, Luca Benini, Andrea Marongiu

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2017

GPU-Accelerated Real-Time Path Planning and the Predictable Execution Model.

Björn Forsberg, Daniele Palossi, Andrea Marongiu, Luca Benini

Proceedings of the International Conference on Computational Science, 2017

GPUguard: Towards supporting a predictable execution model for heterogeneous SoC.

Björn Forsberg, Andrea Marongiu, Luca Benini

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

2016

Keep it cool and in time: With runtime monitoring to thermal-aware execution speeds for deadline constrained systems.

Kai Lampka, Björn Forsberg, Vasileios Spiliopoulos

J. Parallel Distributed Comput., 2016

An Online Overclocking Scheme for Bursty Real-time Tasks and an Evaluation of its Thermal Impact.

Björn Forsberg, Kai Lampka, Vasileios Spiliopoulos

Proceedings of the 14th ACM/IEEE Symposium on Embedded Systems for Real-Time Multimedia, 2016

Keep it slow and in time: Online DVFS with hard real-time workloads.

Kai Lampka, Björn Forsberg

Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016