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» Automated Performance Measurement of Parallel Programs
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HPDC
2008
IEEE
13 years 8 months ago
Code coverage, performance approximation and automatic recognition of idioms in scientific applications
Basic data flow patterns which we call idioms, such as stream, transpose, reduction, random access and stencil, are common in scientific numerical applications. We hypothesize tha...
Jiahua He, Allan Snavely, Rob F. Van der Wijngaart...
HPDC
2007
IEEE
14 years 3 months ago
Precise and realistic utility functions for user-centric performance analysis of schedulers
Utility functions can be used to represent the value users attach to job completion as a function of turnaround time. Most previous scheduling research used simple synthetic repre...
Cynthia Bailey Lee, Allan Snavely
BMCBI
2010
208views more  BMCBI 2010»
13 years 8 months ago
Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene
Background: Image analysis is an essential component in many biological experiments that study gene expression, cell cycle progression, and protein localization. A protocol for tr...
Zafer Aydin, John I. Murray, Robert H. Waterston, ...
PLDI
2011
ACM
12 years 11 months ago
Automatic compilation of MATLAB programs for synergistic execution on heterogeneous processors
MATLAB is an array language, initially popular for rapid prototyping, but is now being increasingly used to develop production code for numerical and scientific applications. Typ...
Ashwin Prasad, Jayvant Anantpur, R. Govindarajan
IEEEPACT
2000
IEEE
14 years 1 months ago
Exploring the Limits of Sub-Word Level Parallelism
Multimedia instruction set extensions have become a prominent feature in desktop microprocessor platforms, promising superior performance on a wide range of floating-point and int...
Kevin Scott, Jack W. Davidson