Toward Greener Matrix Operations by Lossless Compressed Formats
scientific article published in 2025
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Summary
Toward Greener Matrix Operations by Lossless Compressed Formats is an academic journal article[1].
Key Facts
- Toward Greener Matrix Operations by Lossless Compressed Formats authored Francesco Tosoni[2].
- Toward Greener Matrix Operations by Lossless Compressed Formats authored Philip Bille[3].
- Toward Greener Matrix Operations by Lossless Compressed Formats authored Valerio Brunacci[4].
- Toward Greener Matrix Operations by Lossless Compressed Formats authored Alessio De Angelis[5].
- Toward Greener Matrix Operations by Lossless Compressed Formats authored Paolo Ferragina[6].
- Toward Greener Matrix Operations by Lossless Compressed Formats authored Giovanni Manzini[7].
- Toward Greener Matrix Operations by Lossless Compressed Formats's instance of is recorded as academic journal article[8].
- Toward Greener Matrix Operations by Lossless Compressed Formats's copyright license is recorded as Creative Commons Attribution 4.0 International[9].
- Toward Greener Matrix Operations by Lossless Compressed Formats's page is recorded as 56756-56779[10].
- Toward Greener Matrix Operations by Lossless Compressed Formats's language of work or name is recorded as English[11].
- Toward Greener Matrix Operations by Lossless Compressed Formats's volume is recorded as 13[12].
- Toward Greener Matrix Operations by Lossless Compressed Formats was published on 2025[13].
- Toward Greener Matrix Operations by Lossless Compressed Formats's main subject is Sparse matrix-vector multiplication[14].
- Toward Greener Matrix Operations by Lossless Compressed Formats's main subject is lossless compression[15].
- Toward Greener Matrix Operations by Lossless Compressed Formats's main subject is green computing[16].
- Toward Greener Matrix Operations by Lossless Compressed Formats's main subject is PageRank[17].
- Toward Greener Matrix Operations by Lossless Compressed Formats's main subject is Q141434535[18].
- Toward Greener Matrix Operations by Lossless Compressed Formats's published in is recorded as IEEE Access[19].
- Toward Greener Matrix Operations by Lossless Compressed Formats's title is recorded as Toward Greener Matrix Operations by Lossless Compressed Formats[20].
- Toward Greener Matrix Operations by Lossless Compressed Formats's first line is recorded as The emergence of Machine Learning (ML) and, in particular, Deep Learning algorithms has brought about significant advancements in computer vision (e.g., image classification [1], [2]), natural language processing (e.g., text classification [3], [4], [5]), speech recognition, information retrieval, and more. These advancements have led to increased network complexity, more parameters, greater demands for training resources, and longer prediction latency.[21].
- Toward Greener Matrix Operations by Lossless Compressed Formats's author name string is recorded as Francesco Tosoni[22].
- Toward Greener Matrix Operations by Lossless Compressed Formats's author name string is recorded as Philip Bille[23].
- Toward Greener Matrix Operations by Lossless Compressed Formats's author name string is recorded as Valerio Brunacci[24].
- Toward Greener Matrix Operations by Lossless Compressed Formats's author name string is recorded as Alessio De Angelis[25].
- Toward Greener Matrix Operations by Lossless Compressed Formats's author name string is recorded as Paolo Ferragina[26].
Body
Designation and Status
Toward Greener Matrix Operations by Lossless Compressed Formats's instance of is recorded as academic journal article[8].