7 citations · 14 across the 5 of their papers we have counts for
5 papers
Demonstrating a Future for MLIR-native DSL Compilers on a NumPy-like Example
Karl F. A. Friebel, Jascha A. Ohlmann, Jeronimo Castrillon
Compilers for general-purpose languages have been shown to be at a disadvantage when it comes to specialized application domains as opposed to their Domain-Specific Language (DSL)…
A System Development Kit for Big Data Applications on FPGA-based Clusters: The EVEREST Approach
Christian Pilato, Subhadeep Banik, Jakub Beranek +28
Modern big data workflows are characterized by computationally intensive kernels. The simulated results are often combined with knowledge extracted from AI models to ultimately sup…
CINM (Cinnamon): A Compilation Infrastructure for Heterogeneous Compute In-Memory and Compute Near-Memory Paradigms
Asif Ali Khan, Hamid Farzaneh, Karl F. A. Friebel +3
The rise of data-intensive applications exposed the limitations of conventional processor-centric von-Neumann architectures that struggle to meet the off-chip memory bandwidth dema…
Automatic Creation of High-Bandwidth Memory Architectures from Domain-Specific Languages: The Case of Computational Fluid Dynamics
Stephanie Soldavini, Karl F. A. Friebel, Mattia Tibaldi +3
Numerical simulations can help solve complex problems. Most of these algorithms are massively parallel and thus good candidates for FPGA acceleration thanks to spatial parallelism.…
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…