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CGO
2009
IEEE
15 years 11 months ago
Automatic Feature Generation for Machine Learning Based Optimizing Compilation
Recent work has shown that machine learning can automate and in some cases outperform hand crafted compiler optimizations. Central to such an approach is that machine learning tec...
Hugh Leather, Edwin V. Bonilla, Michael O'Boyle
CODES
2006
IEEE
15 years 10 months ago
Retargetable code optimization with SIMD instructions
Retargetable C compilers are nowadays widely used to quickly obtain compiler support for new embedded processors and to perform early processor architecture exploration. One frequ...
Manuel Hohenauer, Christoph Schumacher, Rainer Leu...
163
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IUI
2003
ACM
15 years 9 months ago
A zero-input interface for leveraging group experience in web browsing
The experience of a trusted group of colleagues can help users improve the quality and focus of their browsing and searching activities. How could a system provide such help, when...
Taly Sharon, Henry Lieberman, Ted Selker
ASWEC
2000
IEEE
15 years 9 months ago
ReVis: Reverse Engineering by Clustering and Visual Object Classification
This paper presents the framework of a scale-oriented scheme for the presentation and classification of reverse engineered sections of procedural code into objects. The aim is to ...
Aaron J. Quigley, Margot Postema, Heinz W. Schmidt
DAC
2004
ACM
15 years 8 months ago
Probabilistic regression suites for functional verification
Random test generators are often used to create regression suites on-the-fly. Regression suites are commonly generated by choosing several specifications and generating a number o...
Shai Fine, Shmuel Ur, Avi Ziv