Computational Microscopy Petascale Computing Resource Allocations (prac)

C 2011 Akhil Langer Enabling Massive Parallelism for Two-stage Stochastic Integer Optimizations a Branch and Bound Based Approach

DoD’s transportation activities incur USD 11+Billion expenditure anually. Optimal resource allocation under uncertainty provides huge opportunity for improvement and commensurate cost savings. Stochastic optimization techniques are used to incorporate uncertainty in the data to arrive at robust resource allocations. The application of stochastic optimization extends to a broad range of areas ra...

Massive Parallelism for Two - Stage Stochastic Integer Optimizations

DoD’s transportation activities incur USD 11+Billion expenditure anually. Optimal resource allocation under uncertainty provides huge opportunity for improvement and commensurate cost savings. Stochastic optimization techniques are used to incorporate uncertainty in the data to arrive at robust resource allocations. The application of stochastic optimization extends to a broad range of areas ra...

Sigiri: Uniform Abstraction for Large-Scale Compute Resource Interactions

Scientists who conduct mid-range computationally heavy modeling and analysis often scramble to find sufficient computational resources to test and run their codes. The science they carry out is not petascale or even terascale science but the computational needs often go beyond what can be satisfied by their university. With the maturation of Grid computing facilities and recent explosion of clo...

The Petascale Initiative in Computational Science and Engineering

The Petascale Initiative in Computational Science and Engineering