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RECOMB
2004
Springer
16 years 7 months ago
A random graph approach to NMR sequential assignment
Nuclear magnetic resonance (NMR) spectroscopy allows scientists to study protein structure, dynamics and interactions in solution. A necessary first step for such applications is ...
Chris Bailey-Kellogg, Sheetal Chainraj, Gopal Pand...
SPAA
2009
ACM
16 years 4 months ago
A randomized, o(log w)-depth 2 smoothing network
A K-smoothing network is a distributed, low-contention data structure where tokens arrive arbitrarily on w input wires and reach w output wires via their completely asynchronous p...
Marios Mavronicolas, Thomas Sauerwald
SAC
2010
ACM
16 years 2 months ago
ReSSD: a software layer for resuscitating SSDs from poor small random write performance
NAND flash-based solid state drives have emerged as revolutionary storage media during recent years. However, the wide-spread of SSD technology is currently obstructed by the fac...
Youngjae Lee, Jin-Soo Kim, Seungryoul Maeng
FOCS
2008
IEEE
16 years 1 months ago
Mixing Time of Exponential Random Graphs
A plethora of random graph models have been developed in recent years to study a range of problems on networks, driven by the wide availability of data from many social, telecommu...
Shankar Bhamidi, Guy Bresler, Allan Sly
IPPS
2007
IEEE
16 years 1 months ago
Achieving Reliable Parallel Performance in a VoD Storage Server Using Randomization and Replication
This paper investigates randomization and replication as strategies to achieve reliable performance in disk arrays targeted for video-on-demand (VoD) workloads. A disk array can p...
Yung Ryn Choe, Vijay S. Pai