Correlation clustering is a type of clustering that uses a basic form of input data: For every pair of data items, the input specifies whether they are similar (belonging to the s...
Access to realistic, complex graph datasets is critical to research on social networking systems and applications. Simulations on graph data provide critical evaluation of new sys...
Alessandra Sala, Lili Cao, Christo Wilson, Robert ...
Data center power infrastructure incurs massive capital costs, which typically exceed energy costs over the life of the facility. To squeeze maximum value from the infrastructure,...
Steven Pelley, David Meisner, Pooya Zandevakili, T...
DRAM vendors have traditionally optimized the cost-perbit metric, often making design decisions that incur energy penalties. A prime example is the overfetch feature in DRAM, wher...
Aniruddha N. Udipi, Naveen Muralimanohar, Niladris...
SIMD organizations amortize the area and power of fetch, decode, and issue logic across multiple processing units in order to maximize throughput for a given area and power budget...