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CGO
2011
IEEE
13 years 28 days ago
Language and compiler support for auto-tuning variable-accuracy algorithms
—Approximating ideal program outputs is a common technique for solving computationally difficult problems, for adhering to processing or timing constraints, and for performance ...
Jason Ansel, Yee Lok Wong, Cy P. Chan, Marek Olsze...
PLDI
2011
ACM
12 years 12 months ago
Language-independent sandboxing of just-in-time compilation and self-modifying code
When dealing with dynamic, untrusted content, such as on the Web, software behavior must be sandboxed, typically through use of a language like JavaScript. However, even for such ...
Jason Ansel, Petr Marchenko, Úlfar Erlingss...
SODA
2012
ACM
297views Algorithms» more  SODA 2012»
11 years 11 months ago
Constant factor approximation algorithm for the knapsack median problem
We give a constant factor approximation algorithm for the following generalization of the k-median problem. We are given a set of clients and facilities in a metric space. Each fa...
Amit Kumar
DAC
2003
ACM
14 years 10 months ago
A scalable software-based self-test methodology for programmable processors
Software-based self-test (SBST) is an emerging approach to address the challenges of high-quality, at-speed test for complex programmable processors and systems-on chips (SoCs) th...
Li Chen, Srivaths Ravi, Anand Raghunathan, Sujit D...
SIAMSC
2010
116views more  SIAMSC 2010»
13 years 7 months ago
Recursively Accelerated Multilevel Aggregation for Markov Chains
A recursive acceleration method is proposed for multiplicative multilevel aggregation algorithms that calculate the stationary probability vector of large, sparse, and irreducible ...
Hans De Sterck, K. Miller, G. Sanders, M. Winlaw