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» Pseudorandomness and Average-Case Complexity Via Uniform Red...
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APPROX
2007
Springer
104views Algorithms» more  APPROX 2007»
13 years 11 months ago
Worst-Case to Average-Case Reductions Revisited
Abstract. A fundamental goal of computational complexity (and foundations of cryptography) is to find a polynomial-time samplable distribution (e.g., the uniform distribution) and...
Dan Gutfreund, Amnon Ta-Shma
APPROX
2008
Springer
88views Algorithms» more  APPROX 2008»
13 years 7 months ago
Limitations of Hardness vs. Randomness under Uniform Reductions
We consider (uniform) reductions from computing a function f to the task of distinguishing the output of some pseudorandom generator G from uniform. Impagliazzo and Wigderson [IW]...
Dan Gutfreund, Salil P. Vadhan
NCA
2005
IEEE
13 years 11 months ago
Reducing the Communication Cost via Chain Pattern Scheduling
This paper deals with general nested loops and proposes a novel scheduling methodology for reducing the communication cost of parallel programs. General loops contain complex loop...
Florina M. Ciorba, Theodore Andronikos, Ioannis Dr...