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ICS
2007
Tsinghua U.
14 years 1 months ago
Tradeoff between data-, instruction-, and thread-level parallelism in stream processors
This paper explores the scalability of the Stream Processor architecture along the instruction-, data-, and thread-level parallelism dimensions. We develop detailed VLSI-cost and ...
Jung Ho Ahn, Mattan Erez, William J. Dally
CLOUD
2010
ACM
14 years 20 days ago
Comet: batched stream processing for data intensive distributed computing
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
CGO
2009
IEEE
14 years 2 months ago
Software Pipelined Execution of Stream Programs on GPUs
—The StreamIt programming model has been proposed to exploit parallelism in streaming applications on general purpose multicore architectures. This model allows programmers to sp...
Abhishek Udupa, R. Govindarajan, Matthew J. Thazhu...
ICDE
2009
IEEE
171views Database» more  ICDE 2009»
14 years 2 months ago
CoTS: A Scalable Framework for Parallelizing Frequency Counting over Data Streams
Applications involving analysis of data streams have gained significant popularity and importance. Frequency counting, frequent elements and top-k queries form a class of operato...
Sudipto Das, Shyam Antony, Divyakant Agrawal, Amr ...
IPPS
2007
IEEE
14 years 1 months ago
An Architectural Framework for Automated Streaming Kernel Selection
Hardware accelerators are increasingly used to extend the computational capabilities of baseline scalar processors to meet the growing performance and power requirements of embedd...
Nikolaos Bellas, Sek M. Chai, Malcolm Dwyer, Dan L...