SEMPA: software engineering for parallel scientific computing.
Peter LukschUrsula MaierSabine RathmayerMatthias WeidmannFriedemann UngerPublished in: IEEE Concurrency (1997)
Keyphrases
- scientific computing
- software engineering
- distributed memory
- high performance computing
- massively parallel
- shared memory
- parallel computing
- parallel implementation
- artificial intelligence
- file system
- computer architecture
- parallel processing
- highly parallel
- computational geometry
- software systems
- design patterns
- parallel computers
- software development
- formal methods
- computer systems
- object oriented
- parallel programming
- parallel machines
- graphics processing units
- workflow management
- parallel algorithm
- fault tolerant
- computing systems
- scheduling problem