This paper examines several promising throughput enhancements to the Lempel-Ziv-Oberhumer (LZO) 1x-1-15 data compression algorithm. Of many algorithm variants present in the current library version, 2.06, LZO 1x-1-15 is considered to be the fastest, geared toward speed rather than compression ratio. We present several algorithm modifications tailored to modern multi-core architectures in this paper that are intended to increase compression speed while minimizing any loss in compression ratio. On average, the experimental results show that on a modern quad core system, a 3.9x speedup in compression time is achieved over the baseline algorithm with no loss to compression ratio. Allowing for a 25% loss in compression ratio, up to a 5.4x speedu...
[[abstract]]© 2001 Institute of Electrical and Electronics Engineers - Hardware implementation of da...
AbstractWe explore the possibility of using multiple processors to improve the encoding and decoding...
In digital communications, it is necessary to compress the data for a faster and more reliable trans...
Abstract — This paper examines several promising throughput enhancements to the Lempel-Ziv-Oberhumer...
In recent years, the development of high-performance computing and scientific computing applications...
Due to the emerging multimedia technology, multimedia files such as text, image, audio and video fil...
We present a survey of results concerning Lempel-Ziv data compression on parallel and distributed sy...
The advent of massive datasets and the consequent design of high-performing distributed storage syst...
International Telemetering Conference Proceedings / October 28-31, 1985 / Riviera Hotel, Las Vegas, ...
Abstract: In the age of big data, the need for efficient data compression algorithms has grown. A wi...
LZP algorithm is one of algorithms designed for text compression. It is based on ideas published in ...
Data compression is a technique to represent data using less number of bits than original data. Ther...
Lossless data compression is used to reduce storage requirements, allowing for the relief of I/O cha...
We present a survey of results concerning Lempel–Ziv data compression on parallel and distributed sy...
Summarization: Data compression techniques can alleviate low bandwidth problems in multigigabit netw...
[[abstract]]© 2001 Institute of Electrical and Electronics Engineers - Hardware implementation of da...
AbstractWe explore the possibility of using multiple processors to improve the encoding and decoding...
In digital communications, it is necessary to compress the data for a faster and more reliable trans...
Abstract — This paper examines several promising throughput enhancements to the Lempel-Ziv-Oberhumer...
In recent years, the development of high-performance computing and scientific computing applications...
Due to the emerging multimedia technology, multimedia files such as text, image, audio and video fil...
We present a survey of results concerning Lempel-Ziv data compression on parallel and distributed sy...
The advent of massive datasets and the consequent design of high-performing distributed storage syst...
International Telemetering Conference Proceedings / October 28-31, 1985 / Riviera Hotel, Las Vegas, ...
Abstract: In the age of big data, the need for efficient data compression algorithms has grown. A wi...
LZP algorithm is one of algorithms designed for text compression. It is based on ideas published in ...
Data compression is a technique to represent data using less number of bits than original data. Ther...
Lossless data compression is used to reduce storage requirements, allowing for the relief of I/O cha...
We present a survey of results concerning Lempel–Ziv data compression on parallel and distributed sy...
Summarization: Data compression techniques can alleviate low bandwidth problems in multigigabit netw...
[[abstract]]© 2001 Institute of Electrical and Electronics Engineers - Hardware implementation of da...
AbstractWe explore the possibility of using multiple processors to improve the encoding and decoding...
In digital communications, it is necessary to compress the data for a faster and more reliable trans...