Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices
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Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices
Summary
Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices is an academic journal article[1].
Key Facts
- Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices authored Paolo Ferragina[2].
- Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices authored Giovanni Manzini[3].
- Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices authored Travis Gagie[4].
- Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices authored Dominik Köppl[5].
- Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices authored Gonzalo Navarro[6].
- Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices authored Manuel Striani[7].
- Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices's instance of is recorded as academic journal article[8].
- Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices's copyright license is recorded as Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International[9].
- Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices's page is recorded as 2175-2187[10].
- Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices's language of work or name is recorded as English[11].
- Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices's issue is recorded as 10[12].
- Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices's volume is recorded as 15[13].
- Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices was released on June 15, 2022[14].
- Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices was published on 2022[15].
- Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices's main subject is matrix multiplication[16].
- Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices's main subject is lossless compression[17].
- Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices's main subject is Re-Pair[18].
- Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices's main subject is Q141434533[19].
- Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices's published in is recorded as Proceedings of the VLDB Endowment. International Conference on Very Large Data Bases[20].
- Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices's title is recorded as Improving matrix-vector multiplication via lossless grammar-compressed matrices[21].
- Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices's title is recorded as Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices[22].
- Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices's first line is recorded as Matrix operations have always been important in scientific computing and engineering, and they have become even more so with the widespread adoption of ML and deep-learning tools.[23].
- Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices's author name string is recorded as Paolo Ferragina[24].
- Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices's author name string is recorded as Giovanni Manzini[25].
- Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices's author name string is recorded as Travis Gagie[26].
Body
Designation and Status
Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices's instance of is recorded as academic journal article[8].