11 citations · 11 across the 1 of their papers we have counts for
5 papers
SVFF: An Automated Framework for SR-IOV Virtual Function Management in FPGA Accelerated Virtualized Environments
Stefano Cirici, Michele Paolino, Daniel Raho
FPGA accelerator devices have emerged as a powerful platform for implementing high-performance and scalable solutions in a wide range of industries, leveraging their reconfigurabil…
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…
Virtio-FPGA: a virtualization solution for SoC-attached FPGAs
Anna Panagopoulou, Michele Paolino, Daniel Raho
Recently, FPGA accelerators have risen in popularity as they present a suitable way of satisfying the high-computation and low-power demands of real time applications. The modern e…
VOSySmonitoRV: a mixed-criticality solution on Linux-capable RISC-V platforms
Flavia Caforio, Pierpaolo Iannicelli, Michele Paolino +1
Embedded systems are pervasively used in many fields nowadays. In mixed-criticality environments (automotive, industry 4.0, drones, etc.) they need to run real-time applications wi…
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…