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» Data memory minimization by sharing large size buffers
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KDD
2010
ACM
222views Data Mining» more  KDD 2010»
13 years 9 months ago
Large linear classification when data cannot fit in memory
Recent advances in linear classification have shown that for applications such as document classification, the training can be extremely efficient. However, most of the existing t...
Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-J...
ICDCS
2009
IEEE
14 years 4 months ago
Minimizing the Hidden Cost of RDMA
Remote Direct Memory Access (RDMA) is a mechanism whereby data is moved directly between the application memory of the local and remote computer. In bypassing the operating system...
Philip Werner Frey, Gustavo Alonso
INFOCOM
2006
IEEE
14 years 1 months ago
Routers with Very Small Buffers
Abstract— Internet routers require buffers to hold packets during times of congestion. The buffers need to be fast, and so ideally they should be small enough to use fast memory ...
Mihaela Enachescu, Yashar Ganjali, Ashish Goel, Ni...
ASPLOS
2010
ACM
13 years 10 months ago
Micro-pages: increasing DRAM efficiency with locality-aware data placement
Power consumption and DRAM latencies are serious concerns in modern chip-multiprocessor (CMP or multi-core) based compute systems. The management of the DRAM row buffer can signif...
Kshitij Sudan, Niladrish Chatterjee, David Nellans...
ICASSP
2010
IEEE
13 years 7 months ago
Buffer management for multi-application image processing on multi-core platforms: Analysis and case study
Due to the limited amounts of on-chip memory, large volumes of data, and performance and power consumption overhead associated with interprocessor communication, efficient managem...
Dong-Ik Ko, Nara Won, Shuvra S. Bhattacharyya