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EMNLP
2009
14 years 11 months ago
Web-Scale Distributional Similarity and Entity Set Expansion
Computing the pairwise semantic similarity between all words on the Web is a computationally challenging task. Parallelization and optimizations are necessary. We propose a highly...
Patrick Pantel, Eric Crestan, Arkady Borkovsky, An...
JSSPP
2009
Springer
15 years 8 months ago
Limits of Work-Stealing Scheduling
The number of applications with many parallel cooperating processes is steadily increasing, and developing efficient runtimes for their execution is an important task. Several fram...
Zeljko Vrba, Håvard Espeland, Pål Halv...
CLOUD
2010
ACM
15 years 6 months ago
Making cloud intermediate data fault-tolerant
Parallel dataflow programs generate enormous amounts of distributed data that are short-lived, yet are critical for completion of the job and for good run-time performance. We ca...
Steven Y. Ko, Imranul Hoque, Brian Cho, Indranil G...
CONEXT
2010
ACM
14 years 11 months ago
ICTCP: Incast Congestion Control for TCP in data center networks
TCP incast congestion happens in high-bandwidth and lowlatency networks, when multiple synchronized servers send data to a same receiver in parallel [15]. For many important data ...
Haitao Wu, Zhenqian Feng, Chuanxiong Guo, Yongguan...
SIGIR
2012
ACM
13 years 3 months ago
Parallelizing ListNet training using spark
As ever-larger training sets for learning to rank are created, scalability of learning has become increasingly important to achieving continuing improvements in ranking accuracy [...
Shilpa Shukla, Matthew Lease, Ambuj Tewari