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» Quantifying Load Stream Behavior
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HPCA
2002
IEEE
14 years 5 months ago
Quantifying Load Stream Behavior
The increasing performance gap between processors and memory will force future architectures to devote significant resources towards removing and hiding memory latency. The two ma...
Suleyman Sair, Timothy Sherwood, Brad Calder
HPCA
2002
IEEE
13 years 10 months ago
Non-Vital Loads
As the frequency gap between main memory and modern microprocessor grows, the implementation and efficiency of on-chip caches become more important. The growing latency to memory ...
Ryan Rakvic, Bryan Black, Deepak Limaye, John Paul...
SDM
2007
SIAM
131views Data Mining» more  SDM 2007»
13 years 6 months ago
Load Shedding in Classifying Multi-Source Streaming Data: A Bayes Risk Approach
In many applications, we monitor data obtained from multiple streaming sources for collective decision making. The task presents several challenges. First, data in sensor networks...
Yijian Bai, Haixun Wang, Carlo Zaniolo
CGO
2006
IEEE
13 years 8 months ago
Profiling over Adaptive Ranges
Modern computer systems are called on to deal with billions of events every second, whether they are instructions executed, memory locations accessed, or packets forwarded. This p...
Shashidhar Mysore, Banit Agrawal, Timothy Sherwood...
MUE
2009
IEEE
144views Multimedia» more  MUE 2009»
13 years 11 months ago
Maxtream: Stabilizing P2P Streaming by Active Prediction of Behavior Patterns
In theory, peer-to-peer (P2P) based streaming designs and simulations provide a promising alternative to serverbased streaming systems both in cost and scalability. In practice ho...
Shay Horovitz, Danny Dolev