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» Network Partitioning of Data Parallel Computations
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CLOUD
2010
ACM
14 years 2 months 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...
ICWS
2010
IEEE
13 years 10 months ago
Highly Scalable Web Service Composition Using Binary Tree-Based Parallelization
Data intensive applications, e.g. in life sciences, pose new efficiency challenges to the service composition problem. Since today computing power is mainly increased by multiplica...
Patrick Hennig, Wolf-Tilo Balke
IEEEPACT
2002
IEEE
14 years 2 months ago
A Framework for Parallelizing Load/Stores on Embedded Processors
Many modern embedded processors (esp. DSPs) support partitioned memory banks (also called X-Y memory or dual bank memory) along with parallel load/store instructions to achieve co...
Xiaotong Zhuang, Santosh Pande, John S. Greenland ...
IPPS
2006
IEEE
14 years 3 months ago
An extensible global address space framework with decoupled task and data abstractions
ions Sriram Krishnamoorthy½ Umit Catalyurek¾ Jarek Nieplocha¿ Atanas Rountev½ P. Sadayappan½ ½ Dept. of Computer Science and Engineering, ¾ Dept. of Biomedical Informatics T...
Sriram Krishnamoorthy, Ümit V. Çataly&...
ICPP
2008
IEEE
14 years 3 months ago
Flash Data Dissemination in Unstructured Peer-to-Peer Networks
The problem of flash data dissemination refers to spreading dynamically-created medium-sized data to all members of a large group of users. In this paper, we explore a solution t...
Antonis Papadimitriou, Alex Delis