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GLOBECOM
2010
IEEE
15 years 4 months ago
Reinforcement Learning for Link Adaptation in MIMO-OFDM Wireless Systems
Machine learning algorithms have recently attracted much interest for effective link adaptation due to their flexibility and ability to capture more environmental effects implicitl...
Sungho Yun, Constantine Caramanis
VLSID
2003
IEEE
147views VLSI» more  VLSID 2003»
16 years 6 months ago
SoC Synthesis with Automatic Hardware Software Interface Generation
Design of efficient System-on-Chips (SoCs) require thorough application analysis to identify various compute intensive parts. These compute intensive parts can be mapped to hardwa...
Amarjeet Singh 0002, Amit Chhabra, Anup Gangwar, B...
HPDC
2007
IEEE
16 years 25 days 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
ATAL
2009
Springer
16 years 1 months ago
Graph-based methods for the analysis of large-scale multiagent systems
Multiagent systems are often characterized by complex, and sometimes unpredictable interactions amongst their autonomous components. While these systems can provide robust and sca...
Wilbur Peng, William Krueger, Alexander Grushin, P...
IPPS
2008
IEEE
16 years 28 days ago
SNAP, Small-world Network Analysis and Partitioning: An open-source parallel graph framework for the exploration of large-scale
We present SNAP (Small-world Network Analysis and Partitioning), an open-source graph framework for exploratory study and partitioning of large-scale networks. To illustrate the c...
David A. Bader, Kamesh Madduri