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SAIG
2000
Springer
15 years 9 months ago
Generating Data Analysis Programs from Statistical Models
Extracting information from data, often also called data analysis, is an important scienti c task. Statistical approaches, which use methods from probability theory and numerical a...
Bernd Fischer 0002, Johann Schumann, Thomas Pressb...
POPL
2010
ACM
16 years 3 months ago
Automatically Generating Instruction Selectors Using Declarative Machine Descriptions
Despite years of work on retargetable compilers, creating a good, reliable back end for an optimizing compiler still entails a lot of hard work. Moreover, a critical component of ...
João Dias, Norman Ramsey
SP
2006
IEEE
132views Security Privacy» more  SP 2006»
16 years 3 days ago
Towards Automatic Generation of Vulnerability-Based Signatures
In this paper we explore the problem of creating vulnerability signatures. A vulnerability signature matches all exploits of a given vulnerability, even polymorphic or metamorphic...
David Brumley, James Newsome, Dawn Xiaodong Song, ...
PPOPP
2010
ACM
16 years 3 months ago
Using data structure knowledge for efficient lock generation and strong atomicity
To achieve high-performance on multicore systems, sharedmemory parallel languages must efficiently implement atomic operations. The commonly used and studied paradigms for atomici...
Gautam Upadhyaya, Samuel P. Midkiff, Vijay S. Pai
SIGGRAPH
1992
ACM
15 years 10 months ago
Generative modeling: a symbolic system for geometric modeling
This paper discusses a new, symbolic approach to geometric modeling called generative modeling. The approach allows specification, rendering, and analysis of a wide variety of sha...
John M. Snyder, James T. Kajiya