Vipin Kumar

TL;DR: This work presents a new scratch-remap scheme called Locally-matched Multilevel Scratch- Remap (or simply LMSR) for repartitioning of adaptive meshes, and shows that it generally decreases the data redistribution costs required to balance the load compared to current scratch-Remap schemes.

TL;DR: A new technique for mapping the backpropagation algorithm on hypercube and related architectures using a network partitioning scheme called checkerboarding, which can be combined with the pattern partitioning technique to form a hybrid scheme that performs better than either one of these schemes.

TL;DR: A parallel formulation that uses a static partitioning of the domain and assignment of subdomains to processors based on Morton ordering and it is demonstrated that this scheme delivers acceptable load balance, and coupled with two collective communication operations, it yields good performance.

TL;DR: In this article, a parallel formulation of a graph partitioning and sparse matrix ordering algorithm is presented, which is based on a multilevel algorithm that was developed recently and achieves a speedup of up to 56 on a 128-processor Cray T3D for moderate size problems, further reducing its already moderate serial run time.

Abstract: [1] We have applied association analysis to 17 years of climate index observations and predicted net ecosystem production on land to infer short-term (monthly to yearly) teleconnections between atmosphere-ocean climate forcing and terrestrial carbon cycles. The analysis suggests that on a global level, climate indices can be significantly correlated to net ecosystem carbon fluxes over more than 58% of the nondesert/ice-covered land surface, commonly with a lead period of 2–6 months. The Southern Oscillation (SO) and Arctic Oscillation (AO) indices explain nearly equal portions of these significantly correlated area carbon fluxes. These significant teleconnections detected between surface climate and seasonal carbon gain or loss in terrestrial vegetation offer important capabilities for making inferences about the variability in the terrestrial carbon cycle of natural and agricultural ecosystems worldwide.