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Paraskevas Yiapanis
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2010 – 2019
- 2019
- [c11]Joshua Peake, Martyn Amos
, Paraskevas Yiapanis, Huw Lloyd:
Scaling techniques for parallel ant colony optimization on large problem instances. GECCO 2019: 47-54 - [c10]Chimdimma Noelyn Onah
A Clustering-Based Patient Grouper for Burn Care. IDEAL (2) 2019: 123-131 - 2018
- [c9]Joshua Peake, Martyn Amos
Vectorized candidate set selection for parallel ant colony optimization. GECCO (Companion) 2018: 1300-1306 - 2017
- [c8]Reza Salehnejad, Richard Allmendinger
Leveraging data mining techniques to understand drivers of obesity. CIBCB 2017: 1-9 - 2016
- [j2]Paraskevas Yiapanis, Gavin Brown
Compiler-Driven Software Speculation for Thread-Level Parallelism. ACM Trans. Program. Lang. Syst. 38(2): 5:1-5:45 (2016) - [c7]Aris-Kyriakos Koliopoulos, Paraskevas Yiapanis, Firat Tekiner, Goran Nenadic, John A. Keane:
Towards Automatic Memory Tuning for In-Memory Big Data Analytics in Clusters. BigData Congress 2016: 353-356 - 2015
- [c6]Aris-Kyriakos Koliopoulos, Paraskevas Yiapanis, Firat Tekiner, Goran Nenadic, John A. Keane:
A Parallel Distributed Weka Framework for Big Data Mining Using Spark. BigData Congress 2015: 9-16 - 2013
- [b1]Paraskevas Yiapanis:
High performance optimizations in runtime speculative parallelization for multicore architectures. University of Manchester, UK, 2013 - [j1]Paraskevas Yiapanis, Demian Rosas-Ham, Gavin Brown, Mikel Luján:
Optimizing software runtime systems for speculative parallelization. ACM Trans. Archit. Code Optim. 9(4): 39:1-39:27 (2013) - 2012
- [c5]Demian Rosas-Ham, Isuru Herath, Paraskevas Yiapanis, Mikel Luján, Ian Watson:
Architectural Support for Exploiting Fine Grain Parallelism. HPCC-ICESS 2012: 61-70 - 2010
- [c4]Nikolas Ioannou, Jeremy Singer
Toward a more accurate understanding of the limits of the TLS execution paradigm. IISWC 2010: 1-12 - [c3]Adam Craig Pocock, Paraskevas Yiapanis, Jeremy Singer
Online Non-stationary Boosting. MCS 2010: 205-214
2000 – 2009
- 2009
- [c2]Jeremy Singer
Fundamental Nano-Patterns to Characterize and Classify Java Methods. LDTA 2009: 191-204 - 2008
- [c1]Paraskevas Yiapanis, David J. Haglin, Anna M. Manning, Ken Mayes, John A. Keane:
Variable-grain and dynamic work generation for Minimal Unique Itemset mining. CLUSTER 2008: 33-41
Coauthor Index
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