Aug, 1

Drug Drug Interaction Extraction from Biomedical Literature Using Syntax Convolutional Neural Network

MOTIVATION: Detecting drug-drug interaction (DDI) has become a vital part of public health safety. Therefore, using text mining techniques to extract DDIs from biomedical literature has received great attentions. However, this research is still at an early stage and its performance has much room to improve. RESULTS: In this paper, we present a syntax convolutional […]
Aug, 1

3D visualization of astronomy data cubes using immersive displays

We report on an exploratory project aimed at performing immersive 3D visualization of astronomical data, starting with spectral-line radio data cubes from galaxies. This work is done as a collaboration between the Department of Physics and Astronomy and the Department of Computer Science at the University of Manitoba. We are building our prototype using the […]
Aug, 1

Automatic Loop Partitioning for Heterogeneous Systems

In this work, we implement a tool that automatically partitions loops and then executes these partitions on heterogeneous systems. Partitioning a loop is the process of dividing a loop to form two or more new loops, each iterating over a portion of the original loops iteration space. A heterogeneous system is a system that is […]
Aug, 1

Unified system of code transformation and execution for heterogeneous multi-core architectures

Heterogeneous architectures have been widely used in the domain of high performance computing. However developing applications on heterogeneous architectures is time consuming and error-prone because going from a single accelerator to multiple ones indeed requires to deal with potentially non-uniform domain decomposition, inter-accelerator data movements, and dynamic load balancing. The aim of this thesis is […]
Jul, 31

Perspectives of GPU computing in Science, 2016

A meeting to discuss and assess impacts and perspectives of GPU and many-core computing in various fields of scientific research. The meeting is focused on applications and developments, to share ideas and foster discussions on the invaluable off-the-shelf tools as well as dedicated solutions (hardware and software) that have helped in achieving outstanding scientific advances, […]
Jul, 31

The Second International Workshop on Pattern Recognition (IWPR), 2017

Publication Submitted and accepted papers will be published in the conference proceedings, which will be indexed by Ei, Scopus and ISI. Submission Methods Full Paper (publication and oral presentation) Abstract (oral presentation only) Electronic Submission System (.pdf) http://www.easychair.org/conferences/?conf=icopr2017
Jul, 30

Accelerating Database Query Processing on OpenCL-based FPGAs

The release of OpenCL support for FPGAs represents a significant improvement in extending database applications to the reconfigurable domain. Taking advantage of the programmability offered by the OpenCL HLS tool, an OpenCL database can be easily ported and re-designed for FPGAs. A single SQL query in these database systems usually consists of multiple operators, and […]
Jul, 30

Towards Predictable Real-Time Performance on Multi-Core Platforms

Cyber-physical systems (CPS) integrate sensing, computing, communication and actuation capabilities to monitor and control operations in the physical environment. A key requirement of such systems is the need to provide predictable real-time performance: the timing correctness of the system should be analyzable at design time with a quantitative metric and guaranteed at runtime with high […]
Jul, 30

Particle-in-cell algorithms for plasma simulations on heterogeneous architectures

During the last two decades, High-Performance Computing (HPC) has grown rapidly in performance by improving single-core processors at the cost of a similar growth in power consumption. The single-core processor improvement has led many scientists to exploit mainly the process level parallelism in their codes. However, the performance of HPC systems is becoming increasingly limited […]
Jul, 30

An Autotuning Framework for Intel Xeon Phi Platforms

In this thesis, we develop an auto-tuning framework for Intel Xeon Phi co-processors based on analytical methods. Its purpose is to relieve the application developer from configuring the compiler and the execution environment by efficiently and optimally finding the solution that delivers the best outcome in respect of performance and power. Shortly, the Autotuner has […]
Jul, 30

PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures

Computing k-Nearest Neighbors (KNN) is one of the core kernels used in many machine learning, data mining and scientific computing applications. Although kd-tree based O(log n) algorithms have been proposed for computing KNN, due to its inherent sequentiality, linear algorithms are being used in practice. This limits the applicability of such methods to millions of […]
Jul, 29

International Conference on Machine Learning and Soft Computing (ICMLSC), 2017

Proceedings ICMLSC 2017 conference will be published by: conference proceedings, which will be included in the major data base, Ei, Scopus, etc. Speakers Prof. Pham The Bao, University of Science, Vietnam Prof. Hieu Trung Huynh, Dean of IT faculty of Industrial University of Ho Chi Minh City Prof. Genci Capi, University of Toyama, Japan Submission […]
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