activity
20162019
most citedTwitterMancer: Predicting Interactions on Twitter Accurately

3 citations · 4 across the 2 of their papers we have counts for

collaborators

5 papers

cs.SI20193 cited

TwitterMancer: Predicting Interactions on Twitter Accurately

Konstantinos Sotiropoulos, John W. Byers, Polyvios Pratikakis +1

This paper investigates the interplay between different types of user interactions on Twitter, with respect to predicting missing or unseen interactions. For example, given a set o…

cs.LG20171 cited

Massively-Parallel Feature Selection for Big Data

Ioannis Tsamardinos, Giorgos Borboudakis, Pavlos Katsogridakis +2

We present the Parallel, Forward-Backward with Pruning (PFBP) algorithm for feature selection (FS) in Big Data settings (high dimensionality and/or sample size). To tackle the chal…

cs.DC2016

DiSquawk: 512 cores, 512 memories, 1 JVM

Foivos S. Zakkak, Polyvios Pratikakis

Trying to cope with the constantly growing number of cores per processor, hardware architects are experimenting with modular non-cache-coherent architectures. Such architectures de…

cs.DC2016

BDDT-SCC: A Task-parallel Runtime for Non Cache-Coherent Multicores

Alexandros Labrineas, Polyvios Pratikakis, Dimitrios S. Nikolopoulos +1

This paper presents BDDT-SCC, a task-parallel runtime system for non cache-coherent multicore processors, implemented for the Intel Single-Chip Cloud Computer. The BDDT-SCC runtime…

cs.DC2016

Myrmics: Scalable, Dependency-aware Task Scheduling on Heterogeneous Manycores

Spyros Lyberis, Polyvios Pratikakis, Iakovos Mavroidis +1

Task-based programming models have become very popular, as they offer an attractive solution to parallelize serial application code with task and data annotations. They usually dep…