Matches in SemOpenAlex for { <https://semopenalex.org/work/W2017243486> ?p ?o ?g. }
Showing items 1 to 68 of
68
with 100 items per page.
- W2017243486 abstract "File compression in the case of large files can be time consuming and it is not even necessarily effective. Vast majority of the compression software use algorithms with implementations for CPU architecture. From the beginning of the 2000's the performance of graphic processing units (GPU) have been continuously increasing and at the present time in some cases the GPU exceeds the CPU in performance. However this high performance of the GPU is rarely exploited except in the case of some special tasks such as password cracking or linear algebra calculations. One of the most well-known compression algorithms is the LZO (Lempel-Ziv-Oberhumer). This study discusses the possible ways for the implementation of LZO for GPU Fermi architecture. Three different algorithms are provided and compared and finally it is also shown that the use of GPU can significantly decrease the time of the file compression." @default.
- W2017243486 created "2016-06-24" @default.
- W2017243486 creator A5047667976 @default.
- W2017243486 date "2012-09-01" @default.
- W2017243486 modified "2023-09-25" @default.
- W2017243486 title "File compression with LZO algorithm using NVIDIA CUDA architecture" @default.
- W2017243486 cites W1762731526 @default.
- W2017243486 doi "https://doi.org/10.1109/lindi.2012.6319497" @default.
- W2017243486 hasPublicationYear "2012" @default.
- W2017243486 type Work @default.
- W2017243486 sameAs 2017243486 @default.
- W2017243486 citedByCount "8" @default.
- W2017243486 countsByYear W20172434862013 @default.
- W2017243486 countsByYear W20172434862014 @default.
- W2017243486 countsByYear W20172434862016 @default.
- W2017243486 countsByYear W20172434862018 @default.
- W2017243486 countsByYear W20172434862019 @default.
- W2017243486 crossrefType "proceedings-article" @default.
- W2017243486 hasAuthorship W2017243486A5047667976 @default.
- W2017243486 hasConcept C111919701 @default.
- W2017243486 hasConcept C11413529 @default.
- W2017243486 hasConcept C127413603 @default.
- W2017243486 hasConcept C159985019 @default.
- W2017243486 hasConcept C171146098 @default.
- W2017243486 hasConcept C173608175 @default.
- W2017243486 hasConcept C180016635 @default.
- W2017243486 hasConcept C192562407 @default.
- W2017243486 hasConcept C25797200 @default.
- W2017243486 hasConcept C2778119891 @default.
- W2017243486 hasConcept C41008148 @default.
- W2017243486 hasConcept C459310 @default.
- W2017243486 hasConcept C49154492 @default.
- W2017243486 hasConcept C511840579 @default.
- W2017243486 hasConcept C78548338 @default.
- W2017243486 hasConcept C81081738 @default.
- W2017243486 hasConceptScore W2017243486C111919701 @default.
- W2017243486 hasConceptScore W2017243486C11413529 @default.
- W2017243486 hasConceptScore W2017243486C127413603 @default.
- W2017243486 hasConceptScore W2017243486C159985019 @default.
- W2017243486 hasConceptScore W2017243486C171146098 @default.
- W2017243486 hasConceptScore W2017243486C173608175 @default.
- W2017243486 hasConceptScore W2017243486C180016635 @default.
- W2017243486 hasConceptScore W2017243486C192562407 @default.
- W2017243486 hasConceptScore W2017243486C25797200 @default.
- W2017243486 hasConceptScore W2017243486C2778119891 @default.
- W2017243486 hasConceptScore W2017243486C41008148 @default.
- W2017243486 hasConceptScore W2017243486C459310 @default.
- W2017243486 hasConceptScore W2017243486C49154492 @default.
- W2017243486 hasConceptScore W2017243486C511840579 @default.
- W2017243486 hasConceptScore W2017243486C78548338 @default.
- W2017243486 hasConceptScore W2017243486C81081738 @default.
- W2017243486 hasLocation W20172434861 @default.
- W2017243486 hasOpenAccess W2017243486 @default.
- W2017243486 hasPrimaryLocation W20172434861 @default.
- W2017243486 hasRelatedWork W1994674138 @default.
- W2017243486 hasRelatedWork W2017243486 @default.
- W2017243486 hasRelatedWork W2085142438 @default.
- W2017243486 hasRelatedWork W2100021885 @default.
- W2017243486 hasRelatedWork W2100788167 @default.
- W2017243486 hasRelatedWork W2347467766 @default.
- W2017243486 hasRelatedWork W2574096291 @default.
- W2017243486 hasRelatedWork W2605962163 @default.
- W2017243486 hasRelatedWork W2977245953 @default.
- W2017243486 hasRelatedWork W74596110 @default.
- W2017243486 isParatext "false" @default.
- W2017243486 isRetracted "false" @default.
- W2017243486 magId "2017243486" @default.
- W2017243486 workType "article" @default.