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» Opportunistic Data Structures with Applications
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ICDCSW
2007
IEEE
15 years 11 months ago
Event Stream Processing with Out-of-Order Data Arrival
Complex event processing has become increasingly important in modern applications, ranging from supply chain management for RFID tracking to real-time intrusion detection. The goa...
Ming Li, Mo Liu, Luping Ding, Elke A. Rundensteine...
VISUALIZATION
2005
IEEE
15 years 10 months ago
Opening the Black Box - Data Driven Visualization of Neural Network
Arti cial neural networks are computer software or hardware models inspired by the structure and behavior of neurons in the human nervous system. As a powerful learning tool, incr...
Fan-Yin Tzeng, Kwan-Liu Ma
180
Voted
SC
2005
ACM
15 years 10 months ago
Dynamic Data-Driven Inversion For Terascale Simulations: Real-Time Identification Of Airborne Contaminants
In contrast to traditional terascale simulations that have known, fixed data inputs, dynamic data-driven (DDD) applications are characterized by unknown data and informed by dynam...
Volkan Akcelik, George Biros, Andrei Draganescu, J...
IEEEPACT
1998
IEEE
15 years 8 months ago
Athapascan-1: On-Line Building Data Flow Graph in a Parallel Language
In order to achieve practical efficient execution on a parallel architecture, a knowledge of the data dependencies related to the application appears as the key point for building...
François Galilée, Jean-Louis Roch, G...
IPPS
1997
IEEE
15 years 8 months ago
DPF: A Data Parallel Fortran Benchmark Suite
We present the Data Parallel Fortran (DPF) benchmark suite, a set of data parallel Fortran codes forevaluatingdata parallel compilers appropriatefor any target parallel architectu...
Y. Charlie Hu, S. Lennart Johnsson, Dimitris Kehag...