Iterative numerical algorithms with high memory bandwidth requirements but medium-size data sets (matrix size ∼ a few 100s) are highly appropriate for FPGA acceleration. This pap...
Abid Rafique, Nachiket Kapre, George A. Constantin...
Random sampling is a well-known technique for approximate processing of large datasets. We introduce a set of algorithms for incremental maintenance of large random samples on seco...
It is desirable to store data on data storage servers such as mail servers and file servers in encrypted form to reduce security and privacy risks. But this usually implies that ...
—A framework for designing a family of novel fast CRC generation algorithms is presented. Our algorithms can ideally read arbitrarily large amounts of data at a time, while optim...
Abstract. To analyze the correctness and the performance of a program, information about the dynamic behavior of all participating processes is needed. The dynamic behavior can be ...