Can traditional programming bridge the Ninja performance gap for parallel computing applications?
Nadathur SatishChangkyu KimJatin ChhuganiHideki SaitoRakesh KrishnaiyerMikhail SmelyanskiyMilind GirkarPradeep DubeyPublished in: ISCA (2012)
Keyphrases
- parallel computing
- graphics processing units
- massively parallel
- shared memory
- programming language
- parallel computers
- parallel programming
- parallel computation
- computing systems
- computer architecture
- high performance computing
- processing units
- parallel execution
- field programmable gate array
- multithreading
- real time
- message passing
- parallel algorithm
- data processing
- graphical models
- parallel architectures
- general purpose
- pairwise