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) workloads 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.
KeywordsFPGA Reconfigurable computing High-performance computing Data analytics Machine learning Intel FPGA ecosystem
- 1.IXPUG: The Intel eXtreme Performance User’s Group. http://www.ixpug.org