Title
POSTER: STAR (Space-Time Adaptive and Reductive) Algorithms for Real-World Space-Time Optimality.
Abstract
It's important to hit a space-time balance for a real-world algorithm to achieve high performance on modern shared-memory multi-core or many-core systems. However, a large class of dynamic programs with more than $O(1)$ dependency achieve optimality either in space or time, but not both. In the literature, the problem is known as the fundamental space-time tradeoff. By exploiting properly on the runtime system, we show that our STAR (Space-Time Adaptive and Reductive) technique can help these dynamic programs to achieve sublinear parallel time bounds while still maintaining work-, space-, and cache-optimality in a processor- and cache-oblivious fashion.
Year
DOI
Venue
2017
10.1145/3018743.3019029
PPOPP
Keywords
Field
DocType
space-time balance,cache-oblivious algorithm,dynamic program,shared-memory multicore system
Sublinear function,Space time,Cache-oblivious algorithm,Computer science,Parallel computing,Algorithm,Theoretical computer science,Runtime system,Distributed computing
Conference
Volume
Issue
ISSN
52
8
0362-1340
Citations 
PageRank 
References 
0
0.34
3
Authors
2
Name
Order
Citations
PageRank
Yuan Tang1325.87
Ronghui You2454.95