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» Application of Reduce Order Modeling to Time Parallelization
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2009
ACM
15 years 10 months ago
Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems
MapReduce provides a parallel and scalable programming model for data-intensive business and scientific applications. MapReduce and its de facto open source project, called Hadoop...
Jianwu Wang, Daniel Crawl, Ilkay Altintas
MICRO
2007
IEEE
108views Hardware» more  MICRO 2007»
15 years 9 months ago
FPGA-Accelerated Simulation Technologies (FAST): Fast, Full-System, Cycle-Accurate Simulators
This paper describes FAST, a novel simulation methodology that can produce simulators that (i) are orders of magnitude faster than comparable simulators, (ii) are cycleaccurate, (...
Derek Chiou, Dam Sunwoo, Joonsoo Kim, Nikhil A. Pa...
174
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VISSYM
2007
15 years 5 months ago
A Tri-Space Visualization Interface for Analyzing Time-Varying Multivariate Volume Data
The dataset generated by a large-scale numerical simulation may include thousands of timesteps and hundreds of variables describing different aspects of the modeled physical pheno...
Hiroshi Akiba, Kwan-Liu Ma
128
Voted
HPCA
2004
IEEE
16 years 3 months ago
Out-of-Order Commit Processors
Modern out-of-order processors tolerate long latency memory operations by supporting a large number of inflight instructions. This is particularly useful in numerical applications...
Adrián Cristal, Daniel Ortega, Josep Llosa,...
ICS
1999
Tsinghua U.
15 years 7 months ago
Performance impact of proxies in data intensive client-server applications
Large client-server data intensive applications can place high demands on system and network resources. This is especially true when the connection between the client and server s...
Michael D. Beynon, Alan Sussman, Joel H. Saltz