1 citations · 1 across the 2 of their papers we have counts for
2 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…