Björn Lisper
Mälardalens högskola
H-index: 29
Europe-Sweden
Top articles of Björn Lisper
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
HERO-ML Specification Version 0.126 | Björn Lisper Linus Källberg | 2023/2/7 | |
HERO-ML: A Very High-Level Array Language for Executable Modelling of Data Parallel Algorithms | Björn Lisper Linus Källberg | 2023/6/6 | |
Deepaxe: A framework for exploration of approximation and reliability trade-offs in dnn accelerators | Mahdi Taheri Mohammad Riazati Mohammad Hasan Ahmadilivani Maksim Jenihhin Masoud Daneshtalab | 2023/4/5 | |
Machine learning testing in an ADAS case study using simulation‐integrated bio‐inspired search‐based testing | Journal of Software: Evolution and Process | Mahshid Helali Moghadam Markus Borg Mehrdad Saadatmand Seyed Jalaleddin Mousavirad Markus Bohlin | 2022 |
DeepFlexiHLS: Deep Neural Network Flexible High-Level Synthesis Directive Generator | Mohammad Riazati Masoud Daneshtalab Mikael Sjödin Björn Lisper | 2022/10/25 | |
An Evaluation of General-Purpose Static Analysis Tools on C/C++ Test Code | Jean Malm Eduard Enoiu Masud Abu Naser Björn Lisper Zoltán Porkoláb | 2022/8/31 | |
Autodeephls: Deep neural network high-level synthesis using fixed-point precision | Mohammad Riazati Masoud Daneshtalab Mikael Sjödin Björn Lisper | 2022/6/13 | |
On the computation of interprocedural weak control closure | Abu Naser Masud Björn Lisper | 2022/3/19 | |
A comprehensive exploration of languages for parallel computing | Federico Ciccozzi Lorenzo Addazi Sara Abbaspour Asadollah Björn Lisper Abu Naser Masud | 2022/1/18 | |
Performance testing using a smart reinforcement learning-driven test agent | Mahshid Helali Moghadam Golrokh Hamidi Markus Borg Mehrdad Saadatmand Markus Bohlin | 2021/6/28 | |
An autonomous performance testing framework using self-adaptive fuzzy reinforcement learning | Software quality journal | Mahshid Helali Moghadam Mehrdad Saadatmand Markus Borg Markus Bohlin Björn Lisper | 2021/3/10 |
Semantic correctness of dependence-based slicing for interprocedural, possibly nonterminating programs | ACM Transactions on Programming Languages and Systems (TOPLAS) | Abu Naser Masud Björn Lisper | 2021/1/4 |
High-Level Synthesis Design Space Exploration for Highly Optimized Deep Neural Network Implementation | Mohammad Riazati Masoud Daneshtalab Mikael Sjödin Björn Lisper | 2021 | |
Intelligent Load Testing: Self-adaptive Reinforcement Learning-driven Load Runner | Mahshid Helali Moghadam Mehrdad Saadatmand Markus Borg Golrokh Hamidi Markus Bohlin | 2020 | |
Deephls: A complete toolchain for automatic synthesis of deep neural networks to fpga | Mohammad Riazati Masoud Daneshtalab Mikael Sjödin Björn Lisper | 2020/11/23 | |
Poster: Performance testing driven by reinforcement learning | Mahshid Helali Moghadam Mehrdad Saadatmand Markus Borg Markus Bohlin Björn Lisper | 2020/10/24 | |
Automated analysis of flakiness-mitigating delays | Jean Malm Adnan Causevic Björn Lisper Sigrid Eldh | 2020/10/7 | |
Adjustable self-healing methodology for accelerated functions in heterogeneous systems | Mohammad Riazati Tara Ghasempouri Masoud Daneshtalab Jaan Raik Mikael Sjödin | 2020/8/26 | |
SHiLA: Synthesizing High-Level Assertions for High-Speed Validation of High-Level Designs | Mohammad Riazati Masoud Daneshtalab Mikael Sjödin Björn Lisper | 2020/4/22 |
