Call for full, PHD Showcase and short papers


Workshop on GPU Technology - GPUTech (2016)

To be held in conjunction with

The 16th International Conference on Computational Science and Its Applications

(ICCSA 2016)

Beijing University of Posts and Telecommunications, Beijing (China)

July 4-7, 2016


In the big data era, Graphics Processing Unit (GPU) provides a fast power-efficient architecture in  accelerating many regular applications specially those involving dense matrix operations and, more recently, irregular and low-arithmetic intensity applications like in which the control flow and memory access patterns are data-dependent.


The aim of this workshop is to provide a forum to discuss new and emerging general-purpose purpose programming environments and platforms, as well as evaluate applications that have been able to exploit the power provided by these platforms with special emphasis on applications, performance analysis, programming models, languages and libraries, compilers, algorithms.


Topics of interest, of both theoretical and practical significance, include but are not limited to:

GPU benchmarking/measurements;

Multi-GPU systems;

Heterogeneous GPU platforms;

Scientific Computing;

Algorithms for Big Data Analytics;

Machine Learning and Deep Learning;

GPU power/efficiency solutions;

GPU applications.


Besides regular papers, papers describing work-in-progress or incomplete but sound, innovative ideas related to the workshop theme are also encouraged.

We solicit full papers (10-16 pages),  PHD showcase papers (6-8 pages) and short papers (5-6 pages).

Accepted high-quality papers will appear in the conference proceedings to be published by:


To submit their contributions the authors have to register and connect to http ://ess .iccsa .org.

Detailed instructions  are available at

Important: Please select the GPUTech Workshop when submitting the abstract and the full paper, as shown in Figure 1.


Important: The best paper on GPU technologies will get a GPU card kindly offered by NVIDIA: the NVIDIA GeForge GTX TITAN X (commercial value 1300 USD approx)




Figure 1: Submission of a paper to GPUTech Workshop


Technical Program Committee:

Giovanni Agosta, Polytechnic of Milan, Italy

Enrico Calore, University of Ferrara, Italy

Alexandre Fender, Nvidia, USA

Andrea Formisano, University of Perugia, Italy

Roberto Giorgi, University of Siena, Italy

Sreeram Potluri, Nvidia, USA

Filippo Spiga, University of Cambridge, UK

Daisuke Takahashi, University of Tsukuba, Japan

Antonino Tumeo, Pacific Northwest National Laboratory,  USA

Manuel Ujaldon, University of Malaga, Spain

Yangzihao Wang, UC Davis, USA




Osvaldo Gervasi, University of Perugia, Italy

Flavio Vella, University of Rome “La Sapienza”, Italy

Sergio Tasso, University of Perugia, Italy


Important Dates:

Full, PHD showcase and short paper submission:             20 March 2016

Notification of acceptance:                        20 April 2016

Camera-ready of papers:        15 May 2016

GPUTech Workshop in Beijing:                                 4-7 July 2016



Contact Info:


Osvaldo Gervasi

Department of Mathematics and Computer Science, University of Perugia

Via Vanvitelli, 1

06123 Perugia (PG), Italy

Tel: +39 075 5855048

Fax: +39 075 5855024

email: osvaldo <dot> gervasi <at> unipg <dot> it