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UIST
2010
ACM
14 years 11 months ago
Designing adaptive feedback for improving data entry accuracy
Data quality is critical for many information-intensive applications. One of the best opportunities to improve data quality is during entry. USHER provides a theoretical, data-dri...
Kuang Chen, Joseph M. Hellerstein, Tapan S. Parikh
IROS
2009
IEEE
125views Robotics» more  IROS 2009»
15 years 8 months ago
A tale of two planners: Modular robotic planning with LDP
Abstract— LDP (Locally Distributed Predicates) is a distributed, high-level language for programming modular reconfigurable robot systems (MRRs). In this paper we present the im...
Michael DeRosa, Seth Copen Goldstein, Peter Lee, P...
IEEEPACT
2006
IEEE
15 years 8 months ago
Compiling for stream processing
This paper describes a compiler for stream programs that efficiently schedules computational kernels and stream memory operations, and allocates on-chip storage. Our compiler uses...
Abhishek Das, William J. Dally, Peter R. Mattson
IPPS
2005
IEEE
15 years 7 months ago
Self-Adaptive Scheduler Parameterization via Online Simulation
High-end parallel systems present a tremendous research challenge on how to best allocate their resources to match dynamic workload characteristics and user habits that are often ...
Barry Lawson, Evgenia Smirni
PPOPP
1997
ACM
15 years 6 months ago
LoPC: Modeling Contention in Parallel Algorithms
Parallel algorithm designers need computational models that take first order system costs into account, but are also simple enough to use in practice. This paper introduces the L...
Matthew Frank, Anant Agarwal, Mary K. Vernon