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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 3 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 1 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 29 days 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