Title
Optimalizace a paralelizace kompresních metod
Code
GPP202/11/P142
Summary
Data compression is very important for storing multimedia and textual data. Compression of textual data, more precisely structured textual data, become more important with growing of e-commerce and egovernment. Most of the compression methods was designed as a universal algorithms, i.e. they process any type of data. Their efficiency may be increased using some type of transformations before application of the compression algorithms. Application of good transformation may improve efficiency of compression by tents percents. In these days, task parallelization using multi-core processors and GPU (graphics processing units) is also very frequent topic of research. GPU natively accelerate compression and decompression of video streams, but their performance may be used even for other algorithms.
Start year
2011
End year
2013
Provider
Grantová agentura ČR
Category
Obecná forma
Type
Standardní projekty
Solver
Information system of research, development and innovation (in Czech)