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KDD
2006
ACM
213views Data Mining» more  KDD 2006»
15 years 10 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
90
Voted
PLDI
2010
ACM
15 years 2 months ago
Green: a framework for supporting energy-conscious programming using controlled approximation
Energy-efficient computing is important in several systems ranging from embedded devices to large scale data centers. Several application domains offer the opportunity to tradeof...
Woongki Baek, Trishul M. Chilimbi
100
Voted
IPPS
2009
IEEE
15 years 4 months ago
Scalable RDMA performance in PGAS languages
Partitioned Global Address Space (PGAS) languages provide a unique programming model that can span shared-memory multiprocessor (SMP) architectures, distributed memory machines, o...
Montse Farreras, George Almási, Calin Casca...
PARLE
1991
15 years 1 months ago
FORK: A High-Level Language for PRAMs
We present a new programming language designed to allow the convenient expression of algorithms for a parallel random access machine (PRAM). The language attempts to satisfy two p...
Torben Hagerup, Arno Schmitt, Helmut Seidl
OOPSLA
2009
Springer
15 years 4 months ago
The design of a task parallel library
The Task Parallel Library (TPL) is a library for .NET that makes it easy to take advantage of potential parallelism in a program. The library relies heavily on generics and delega...
Daan Leijen, Wolfram Schulte, Sebastian Burckhardt