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» Network Partitioning of Data Parallel Computations
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CLOUD
2010
ACM
15 years 7 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...
127
Voted
ICWS
2010
IEEE
15 years 3 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
161
Voted
IEEEPACT
2002
IEEE
15 years 7 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
15 years 8 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
15 years 8 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