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ICDE
2009
IEEE
140views Database» more  ICDE 2009»
14 years 9 months ago
Predicting Multiple Metrics for Queries: Better Decisions Enabled by Machine Learning
One of the most challenging aspects of managing a very large data warehouse is identifying how queries will behave before they start executing. Yet knowing their performance charac...
Archana Ganapathi, Harumi A. Kuno, Umeshwar Dayal,...
CISIS
2011
IEEE
12 years 7 months ago
Improving Scheduling Techniques in Heterogeneous Systems with Dynamic, On-Line Optimisations
—Computational performance increasingly depends on parallelism, and many systems rely on heterogeneous resources such as GPUs and FPGAs to accelerate computationally intensive ap...
Marcin Bogdanski, Peter R. Lewis, Tobias Becker, X...
PDPTA
2003
13 years 9 months ago
Distop: A Low-Overhead Cluster Monitoring System
Current systems for managing workload on clusters of workstations, particularly those available for Linux-based (Beowulf) clusters, are typically based on traditional process-base...
Daniel Andresen, Nathan Schopf, Ethan Bowker, Timo...
SPAA
2006
ACM
14 years 1 months ago
On the price of heterogeneity in parallel systems
Suppose we have a parallel or distributed system whose nodes have limited capacities, such as processing speed, bandwidth, memory, or disk space. How does the performance of the s...
Brighten Godfrey, Richard M. Karp
ECRTS
2008
IEEE
14 years 2 months ago
Cache-Aware Real-Time Scheduling on Multicore Platforms: Heuristics and a Case Study
Multicore architectures, which have multiple processing units on a single chip, have been adopted by most chip manufacturers. Most such chips contain on-chip caches that are share...
John M. Calandrino, James H. Anderson