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» Data-Flow Frameworks for Worst-Case Execution Time Analysis
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2005
ACM
14 years 1 months ago
Bridging the Macro and Micro: A Computing Intensive Earthquake Study Using Discovery Net
We present the development and use of a novel distributed geohazard modeling environment for the analysis and interpretation of large scale earthquake data sets. Our work demonstr...
Yike Guo, Jian Guo Liu, Moustafa Ghanem, Kyran Mis...
CASES
2006
ACM
14 years 1 months ago
Adapting compilation techniques to enhance the packing of instructions into registers
The architectural design of embedded systems is becoming increasingly idiosyncratic to meet varying constraints regarding energy consumption, code size, and execution time. Tradit...
Stephen Hines, David B. Whalley, Gary S. Tyson
HIPC
2009
Springer
13 years 5 months ago
Continuous performance monitoring for large-scale parallel applications
Traditional performance analysis techniques are performed after a parallel program has completed. In this paper, we describe an online method for continuously monitoring the perfor...
Isaac Dooley, Chee Wai Lee, Laxmikant V. Kal&eacut...
COR
2007
106views more  COR 2007»
13 years 7 months ago
On a stochastic sequencing and scheduling problem
We present a framework for solving multistage pure 0–1 programs for a widely used sequencing and scheduling problem with uncertainty in the objective function coefficients, the...
Antonio Alonso-Ayuso, Laureano F. Escudero, M. Ter...
CIKM
2011
Springer
12 years 7 months ago
MTopS: scalable processing of continuous top-k multi-query workloads
A continuous top-k query retrieves the k most preferred objects in a data stream according to a given preference function. These queries are important for a broad spectrum of appl...
Avani Shastri, Di Yang, Elke A. Rundensteiner, Mat...