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ENTCS
2006
140views more  ENTCS 2006»
13 years 9 months ago
A Library for Self-Adjusting Computation
We present a Standard ML library for writing programs that automatically adjust to changes to their data. The library combines modifiable references and memoization to achieve eff...
Umut A. Acar, Guy E. Blelloch, Matthias Blume, Rob...
ML
2002
ACM
141views Machine Learning» more  ML 2002»
13 years 9 months ago
On the Existence of Linear Weak Learners and Applications to Boosting
We consider the existence of a linear weak learner for boosting algorithms. A weak learner for binary classification problems is required to achieve a weighted empirical error on t...
Shie Mannor, Ron Meir
ENTCS
2007
113views more  ENTCS 2007»
13 years 9 months ago
Modular Checkpointing for Atomicity
Transient faults that arise in large-scale software systems can often be repaired by re-executing the code in which they occur. Ascribing a meaningful semantics for safe re-execut...
Lukasz Ziarek, Philip Schatz, Suresh Jagannathan
CF
2009
ACM
14 years 4 months ago
Scheduling dynamic parallelism on accelerators
Resource management on accelerator based systems is complicated by the disjoint nature of the main CPU and accelerator, which involves separate memory hierarhcies, different degr...
Filip Blagojevic, Costin Iancu, Katherine A. Yelic...
FPT
2005
IEEE
98views Hardware» more  FPT 2005»
14 years 3 months ago
Secure Partial Reconfiguration of FPGAs
SRAM FPGAs are vulnerable to security breaches such as bitstream cloning, reverse-engineering, and tampering. Bitstream encryption and authentication are two most effective and pr...
Amir Sheikh Zeineddini, Kris Gaj