Estimating Configuration Parameters of Pipelines for Accelerating N-Body Simulations with an FPGA using High-level Synthesis.
Tetsu NarumiAkio MuramatsuPublished in: PECCS (2019)
Keyphrases
- high level synthesis
- parallel architecture
- information systems
- high speed
- estimation process
- real time
- hardware implementation
- big data
- human body
- physiological parameters
- optimal configuration
- real time image processing
- hardware design
- parameter estimation
- maximum likelihood
- scheduling problem
- image segmentation
- case study
- artificial intelligence
- machine learning