Unveiling Performance Insights and Portability Achievements Between CUDA and SYCL for Particle-in-Cell Codes on Different GPU Architectures.
Ivona VasileskaPavel TomsicLeon KosLeon BogdanovicPublished in: MIPRO (2024)
Keyphrases
- gpu implementation
- parallel implementation
- graphics processors
- gpu accelerated
- graphics hardware
- parallel computing
- compute unified device architecture
- parallel computation
- heterogeneous computing
- general purpose
- graphics processing units
- real time
- parallel computers
- graphic processing unit
- parallel algorithm
- error correction
- living cells
- data mining
- parallel programming
- cluster of workstations
- cpu implementation
- texture mapping
- data sets