A System Development Kit for Big Data Applications on FPGA-based Clusters: The EVEREST Approach

Author:

Pilato Christian1,Banik Subhadeep2,Beránek Jakub3,Brocheton Fabien4,Castrillon Jeronimo5,Cevasco Riccardo6,Cmar Radim7,Curzel Serena1,Ferrandi Fabrizio1,Friebel Karl F. A.5,Galizia Antonella8,Grasso Matteo6,Silva Paulo3,Martinovic Jan3,Palermo Gianluca1,Paolino Michele9,Parodi Andrea8,Parodi Antonio8,Pintus Fabio8,Polig Raphael10,Poulet David4,Regazzoni Francesco4,Ringlein Burkhard10,Rocco Roberto1,Slaninova Katerina3,Slooff Tom2,Soldavini Stephanie1,Suchert Felix5,Tibaldi Mattia1,Weiss Beat10,Hagleitner Christoph10

Affiliation:

1. Politecnico di Milano,Italy

2. Universita della Svizzera italiana,Switzerland

3. University of Ostrava,IT4Innovations, VSB - Technical,Czech Republic

4. NUMTECH,France

5. Technische Universität,Dresden,Germany

6. Duferco Energia,Italy

7. Sygic,Slovakia

8. Centro Internazionale di Monitoraggio Ambientale,Italy

9. Virtual Open Systems,France

10. IBM Research Europe,Switzerland

Publisher

IEEE

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Etna: MLIR-Based System-Level Design and Optimization for Transparent Application Execution on CPU-FPGA Nodes;2024 IEEE 32nd Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM);2024-05-05

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