Using FPGAs to Accelerate HPC and Data Analytics on Intel-Based Systems

FPGAs can improve performance, energy efficiency and throughput by boosting computation, I/O and communication operations in HPC, data analytics (DA), and machine learning (ML) work-loads and thus complement general-purpose CPUs and GPUs. Recent innovations in hardware and software technologies make FPGAs increasingly attractive for HPC and DA workloads. This first FPGA-focused workshop organized by the IXPUG community gathered experts in the design, programming and usage of reconfigurable systems for HPC and DA workloads to share there experiences with the community.