Exploring the use of data compression for accelerating machine learning in the edge with remote virtual graphics processing units.
Cristian PeñarandaCarlos ReañoFederico SillaPublished in: Concurr. Comput. Pract. Exp. (2023)
Keyphrases
- data compression
- machine learning
- graphics processing units
- general purpose
- compression algorithm
- real time
- gpu implementation
- compressed data
- compression ratio
- data reduction
- parallel processing
- parallel implementation
- computer vision
- data analysis
- feature selection
- wavelet compression
- computing systems
- floating point
- huffman coding
- parallel computing
- efficient implementation
- high quality
- image segmentation
- lossless data compression