PyCLiPSM: Harnessing heterogeneous computing resources on CPUs and GPUs for accelerated digital soil mapping.
Guiming ZhangA-Xing ZhuJing LiuShanxin GuoYunqiang ZhuPublished in: Trans. GIS (2021)
Keyphrases
- computing resources
- cloud computing
- multi core systems
- multi core processors
- commodity hardware
- graphics processing units
- limited resources
- parallel processing
- geographically distributed
- resource management
- grid computing
- high performance computing
- virtual machine
- load balance
- parallel programming
- network resources
- general purpose
- gpu implementation
- graphics processors
- single instruction multiple data
- collective intelligence
- distributed computing
- data center
- artificial intelligence
- real time
- computational power
- smart card
- cooperative
- real world