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POPL
2012
ACM
13 years 5 months ago
The ins and outs of gradual type inference
Gradual typing lets programmers evolve their dynamically typed programs by gradually adding explicit type annotations, which confer benefits like improved performance and fewer r...
Aseem Rastogi, Avik Chaudhuri, Basil Hosmer
HPDC
2007
IEEE
15 years 4 months ago
A fast topology inference: a building block for network-aware parallel processing
Adapting to the network is the key to achieving high performance for communication-intensive applications, including scientific computing, data intensive computing, and multicast...
Tatsuya Shirai, Hideo Saito, Kenjiro Taura
INFOCOM
2007
IEEE
15 years 4 months ago
The Cache Inference Problem and its Application to Content and Request Routing
— In many networked applications, independent caching agents cooperate by servicing each other’s miss streams, without revealing the operational details of the caching mechanis...
Nikolaos Laoutaris, Georgios Zervas, Azer Bestavro...
IWMM
2010
Springer
140views Hardware» more  IWMM 2010»
14 years 11 months ago
Parametric inference of memory requirements for garbage collected languages
The accurate prediction of program's memory requirements is a critical component in software development. Existing heap space analyses either do not take deallocation into ac...
Elvira Albert, Samir Genaim, Miguel Gómez-Z...
TIP
2008
133views more  TIP 2008»
14 years 9 months ago
A Recursive Model-Reduction Method for Approximate Inference in Gaussian Markov Random Fields
This paper presents recursive cavity modeling--a principled, tractable approach to approximate, near-optimal inference for large Gauss-Markov random fields. The main idea is to su...
Jason K. Johnson, Alan S. Willsky