Search Results for: Linear acting engines
compressed linear algebra for large-scale machine learning compressed linear algebra for large-scale machine learning ahmed elgohary ∗, matthias boehm , peter j. haas , frederick r. reiss , berthold reinwald ibm research – almaden; san jose, ca, usa university of maryland; college park, md, usa abstract
performance to fit the data into single-node or distributed main memory. general-purpose, heavy- and lightweight compression techniques struggle to achieve both good compression ratios and fast decompres- sion speed to enable block-wise uncompressed operations. hence, we initiate work on compressed linear...
http://www.vldb.org/pvldb/vol9/p960-elgohary.pdf