Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
Software distributed shared memory (DSM) improves the programmability of message-passing machines and workclusters by providing a shared memory abstract (i.e., a coherent global a...
Most modern cores perform a highly-associative translation look aside buffer (TLB) lookup on every memory access. These designs often hide the TLB lookup latency by overlapping it...
With the availability of large datasets in a variety of scientific and commercial domains, data mining has emerged as an important area within the last decade. Data mining techni...
Meeting participants can experience cognitive overload when they need both to verbally contribute to ongoing discussion while simultaneously creating notes to promote later recall...