- TYPE OF PUBLICATION: Publication in Conference Proceedings
- AUTHORS: Dimitris Theodoropoulos, Olivier Michel, Pavlos Malakonakis, Konstantinos Georgopoulos, Giovanni Isotton, Dionisios Pnevmatikatos, Ioannis Papaefstathiou, Gino Perna, Marisa Zanotti, Panagiotis Miliadis, Chloe Alverti, Aggelos Ioannou, Max Engelen, Iakovos Mavroidis
- PUBLISHER: IEEE
- PUBLISHED IN: 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE)
- YEAR OF PUBLICATION: 2023
- DOI: 10.23919/DATE56975.2023.10136980
ABSTRACT: OPTIMA is an SME-driven project that aims to port and optimize industrial applications and a set of open-source libraries into two novel FPGA-populated HPC systems. Target applications are from the domain of robotics simulation, underground analysis and computational fluid dynamics (CFD), where data processing is based on differential equations, matrix-matrix and matrix-vector operations. Moreover, the OPTIMA OPen Source (OOPS) library will support basic linear algebraic operations, sparse matrix-vector arithmetic, as well as computer-aided engineering (CAE) solvers. The OPTIMA target platforms are JUMAX, an HPC system that couples an AMD Epyc Server with Maxeler FPGA-based Dataflow Engines (DFEs), and server-class machines with Alveo FPGA cards in- stalled. Experimental results on applications up to now, show that performance on robotic simulation can be enhanced up to 1.2x, CFD calculations up to 4.7x, and BLAS routines up to 7x compared to optimized software implementations from OpenBLAS.
