AbstractWe study the parallel complexity of a bounded size dictionary version (LRU deletion heuristic) of the LZ2 compression algorithm. The unbounded version was shown to be P-complete. When the size of the dictionary is O(logkn), the problem of computing the LZ2 compression is shown to be hard for the class of problems solvable simultaneously in polynomial time and O(logkn) space (that is, SCk). We also introduce a variation of this heuristic that turns out to be an SCk-complete problem (the original heuristic belongs to SCk+1). In virtue of these results, we argue that there are no practical parallel algorithms for LZ2 compression with LRU deletion heuristic or any other heuristic deleting dictionary elements in a continuous way. For sim...
We present work-optimal PRAM algorithms for Burrows-Wheeler compression and decompression of string...
This paper considers online compression algorithms that use at most polylogarithmic space (plogon)....
Broadcasting a message from one to many processors in a network corresponds to concurrent reading on...
AbstractWe study the parallel complexity of a bounded size dictionary version (LRU deletion heuristi...
AbstractIn this paper we study the parallel computational complexity of some methods for compressing...
The unbounded version of the Lempel-Ziv dynamic dictionary compression method is P-complete. Therefo...
Parallel algorithms for lossless data compression via dictionary compression using optimal, longest ...
One of the most famous and investigated lossless data-compression schemes is the one introduced by L...
We address parallel and high-speed lossless data compression. Data compression attempts to reduce th...
The Lempel-Ziv-Welch (LZW) algorithm is an important dictionary-based data compression approach that...
This paper proposes an improved data compression technique compared to existing Lempel-Ziv-Welch (LZ...
AbstractÐThe data compression based on dictionary techniques works by replacing phrases in the input...
AbstractSheinwald, Lempel, and Ziv (1995,Inform. and Comput.116, 128–133) proved that the power of o...
We show that a wide class of dictionary compression methods (including LZ77, LZ78, grammar compresso...
AbstractLinear-time optimal parsing algorithms are rare in the dictionary-based branch of the data c...
We present work-optimal PRAM algorithms for Burrows-Wheeler compression and decompression of string...
This paper considers online compression algorithms that use at most polylogarithmic space (plogon)....
Broadcasting a message from one to many processors in a network corresponds to concurrent reading on...
AbstractWe study the parallel complexity of a bounded size dictionary version (LRU deletion heuristi...
AbstractIn this paper we study the parallel computational complexity of some methods for compressing...
The unbounded version of the Lempel-Ziv dynamic dictionary compression method is P-complete. Therefo...
Parallel algorithms for lossless data compression via dictionary compression using optimal, longest ...
One of the most famous and investigated lossless data-compression schemes is the one introduced by L...
We address parallel and high-speed lossless data compression. Data compression attempts to reduce th...
The Lempel-Ziv-Welch (LZW) algorithm is an important dictionary-based data compression approach that...
This paper proposes an improved data compression technique compared to existing Lempel-Ziv-Welch (LZ...
AbstractÐThe data compression based on dictionary techniques works by replacing phrases in the input...
AbstractSheinwald, Lempel, and Ziv (1995,Inform. and Comput.116, 128–133) proved that the power of o...
We show that a wide class of dictionary compression methods (including LZ77, LZ78, grammar compresso...
AbstractLinear-time optimal parsing algorithms are rare in the dictionary-based branch of the data c...
We present work-optimal PRAM algorithms for Burrows-Wheeler compression and decompression of string...
This paper considers online compression algorithms that use at most polylogarithmic space (plogon)....
Broadcasting a message from one to many processors in a network corresponds to concurrent reading on...