activity
20212024
most citedFrom Domain-Specific Languages to Memory-Optimized Accelerators for Fluid Dynamics

6 citations · 14 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AR2024

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…

cs.AR2023★ 1 cited

Platform-Aware FPGA System Architecture Generation based on MLIR

Stephanie Soldavini, Christian Pilato

FPGA acceleration is becoming increasingly important to meet the performance demands of modern computing, particularly in big data or machine learning applications. As such, signif…

cs.AR2022★ 1 cited

Iris: Automatic Generation of Efficient Data Layouts for High Bandwidth Utilization

Stephanie Soldavini, Donatella Sciuto, Christian Pilato

Optimizing data movements is becoming one of the biggest challenges in heterogeneous computing to cope with data deluge and, consequently, big data applications. When creating spec…

cs.AR2022★ 1 cited

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.…

cs.DC2021★ 3 cited

A Survey on Domain-Specific Memory Architectures

Stephanie Soldavini, Christian Pilato

The never-ending demand for high performance and energy efficiency is pushing designers towards an increasing level of heterogeneity and specialization in modern computing systems.…

cs.DC2021★ 6 cited

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…

cs.AR2021★ 2 cited

Compiler Infrastructure for Specializing Domain-Specific Memory Templates

Stephanie Soldavini, Christian Pilato

Specialized hardware accelerators are becoming important for more and more applications. Thanks to specialization, they can achieve high performance and energy efficiency but their…