Optimizing Use of Different Types of Memory for FPGAs in High Performance Computing.
Kai HuangMehmet GüngörStratis IoannidisMiriam LeeserPublished in: HPEC (2020)
Keyphrases
- high performance computing
- hardware software
- scientific computing
- massively parallel
- computational science
- intel xeon
- computing systems
- parallel computing
- computing resources
- hardware implementation
- computing environments
- energy efficiency
- computer architecture
- national laboratory
- grid computing
- field programmable gate array
- fault tolerance
- message passing interface
- file system
- parallel architectures
- quality of service
- scheduling problem