5 citations · 5 across the 2 of their papers we have counts for
3 papers
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…
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 ANTAREX Domain Specific Language for High Performance Computing
Cristina Silvano, Giovanni Agosta, Andrea Bartolini +19
The ANTAREX project relies on a Domain Specific Language (DSL) based on Aspect Oriented Programming (AOP) concepts to allow applications to enforce extra functional properties such…