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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
243
Voted
TOG
2012
230views Communications» more  TOG 2012»
13 years 8 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...
154
Voted
IEEEPACT
2009
IEEE
16 years 24 days 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 17 days 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 9 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