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ICPADS
2010
IEEE
15 years 4 months ago
Enhancing MapReduce via Asynchronous Data Processing
The MapReduce programming model simplifies large-scale data processing on commodity clusters by having users specify a map function that processes input key/value pairs to generate...
Marwa Elteir, Heshan Lin, Wu-chun Feng
TOG
2012
230views Communications» more  TOG 2012»
13 years 9 months ago
Decoupling algorithms from schedules for easy optimization of image processing pipelines
Using existing programming tools, writing high-performance image processing code requires sacrificing readability, portability, and modularity. We argue that this is a consequenc...
Jonathan Ragan-Kelley, Andrew Adams, Sylvain Paris...
IEEEPACT
2009
IEEE
16 years 1 months ago
CPROB: Checkpoint Processing with Opportunistic Minimal Recovery
—CPR (Checkpoint Processing and Recovery) is a physical register management scheme that supports a larger instruction window and higher average IPC than conventional ROB-style re...
Andrew D. Hilton, Neeraj Eswaran, Amir Roth
IISWC
2008
IEEE
16 years 1 months ago
STAMP: Stanford Transactional Applications for Multi-Processing
Abstract—Transactional Memory (TM) is emerging as a promising technology to simplify parallel programming. While several TM systems have been proposed in the research literature,...
Chi Cao Minh, JaeWoong Chung, Christos Kozyrakis, ...
ESAW
2006
Springer
15 years 10 months ago
Using Constraints and Process Algebra for Specification of First-Class Agent Interaction Protocols
Abstract. Current approaches to multi-agent interaction involve specifying protocols as sets of possible interactions, and hard-coding decision mechanisms into agent programs in or...
Tim Miller, Peter McBurney