16 citations · 22 across the 4 of their papers we have counts for
9 papers
From Domain-Specific Languages to Memory-Optimized Accelerators for Fluid Dynamics
Karl F. A. Friebel, Stephanie Soldavini, Gerald Hempel +2
Many applications are increasingly requiring numerical simulations for solving complex problems. Most of these numerical algorithms are massively parallel and often implemented on…
A Reinforcement Learning Environment for Polyhedral Optimizations
Alexander Brauckmann, Andrés Goens, Jeronimo Castrillon
The polyhedral model allows a structured way of defining semantics-preserving transformations to improve the performance of a large class of loops. Finding profitable points in thi…
EVEREST: A design environment for extreme-scale big data analytics on heterogeneous platforms
Christian Pilato, Stanislav Bohm, Fabien Brocheton +15
High-Performance Big Data Analytics (HPDA) applications are characterized by huge volumes of distributed and heterogeneous data that require efficient computation for knowledge ext…
The gem5 Simulator: Version 20.0+
Jason Lowe-Power, Abdul Mutaal Ahmad, Ayaz Akram +75
The open-source and community-supported gem5 simulator is one of the most popular tools for computer architecture research. This simulation infrastructure allows researchers to mod…
Energy-efficient Runtime Resource Management for Adaptable Multi-application Mapping
Robert Khasanov, Jeronimo Castrillon
Modern embedded computing platforms consist of a high amount of heterogeneous resources, which allows executing multiple applications on a single device. The number of running appl…
Achieving Determinism in Adaptive AUTOSAR
Christian Menard, Andres Goens, Marten Lohstroh +1
AUTOSAR Adaptive Platform is an emerging industry standard that tackles the challenges of modern automotive software design, but does not provide adequate mechanisms to enforce det…