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IJCNN
2006
IEEE
15 years 10 months ago
Adaptation of Artificial Neural Networks Avoiding Catastrophic Forgetting
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
Dario Albesano, Roberto Gemello, Pietro Laface, Fr...
INFOCOM
2005
IEEE
15 years 10 months ago
IPStash: a set-associative memory approach for efficient IP-lookup
—IP-Lookup is a challenging problem because of the increasing routing table sizes, increased traffic, and higher speed links. These characteristics lead to the prevalence of hard...
Stefanos Kaxiras, Georgios Keramidas
ISCA
2005
IEEE
79views Hardware» more  ISCA 2005»
15 years 10 months ago
Design and Evaluation of Hybrid Fault-Detection Systems
As chip densities and clock rates increase, processors are becoming more susceptible to transient faults that can affect program correctness. Up to now, system designers have prim...
George A. Reis, Jonathan Chang, Neil Vachharajani,...
ISPASS
2005
IEEE
15 years 10 months ago
Measuring Program Similarity: Experiments with SPEC CPU Benchmark Suites
Performance evaluation using only a subset of programs from a benchmark suite is commonplace in computer architecture research. This is especially true during early design space e...
Aashish Phansalkar, Ajay Joshi, Lieven Eeckhout, L...
OOPSLA
2005
Springer
15 years 9 months ago
Quantifying the performance of garbage collection vs. explicit memory management
Garbage collection yields numerous software engineering benefits, but its quantitative impact on performance remains elusive. One can compare the cost of conservative garbage col...
Matthew Hertz, Emery D. Berger