high performance computing on graphics processing units: hgpu.org

We present a method to predict image deformations based on patch-wise image appearance. Specifically, we design a patch-based deep encoder-decoder network which learns the pixel/voxel-wise mapping between image appearance and registration parameters. Our approach can predict general deformation parameterizations, however, we focus on the large deformation diffeomorphic metric mapping (LDDMM) registration model. By predicting the […]

The research topic of this doctoral thesis is the possibility of establishing a model for big data systems with corresponding software- hardware architectures to support sensor networks and IoT devices. The developed model is based on energy efficient, heterogeneous, massively parallelised SoC hardware platforms, with the support of software application architecture (such as openCL) for […]

Torch 7 is a scientific computing platform that supports both CPU and GPU computation, has a light-weight wrapper in a simple scripting language, and provides fast implementations of common algebraic operations. It has become one of the main frameworks for research in (deep) machine learning. Torch does, however, not provide abstractions and boilerplate code for […]

The Voronoi diagrams are an important tool having theoretical and practical applications in a large number of fields. We present a new procedure, implemented as a set of CUDA kernels, which detects, in a general and efficient way, topological changes in case of dynamic Voronoi diagrams whose generating points move in time. The solution that […]

PyFR is an open-source high-order accurate computational fluid dynamics solver for unstructured grids. It is designed to efficiently solve the compressible Navier-Stokes equations on a range of hardware platforms, including GPUs and CPUs. In this paper we will describe how the Python Offload Infrastructure for the Intel Many Integrated Core Architecture (pyMIC) was used to […]

We consider the problem of transposing tensors of arbitrary dimension and describe TTC, an open source domain-specific parallel compiler. TTC generates optimized parallel C++/CUDA C code that achieves a significant fraction of the system’s peak memory bandwidth. TTC exhibits high performance across multiple architectures, including modern AVX-based systems (e.g.,~Intel Haswell, AMD Steamroller), Intel’s Knights Corner […]

Graphics Processing Units (GPUs) are used as general purpose parallel accelerators in a wide range of applications. They are found in most computing systems, and mobile devices are no exception. The recent availability of programming APIs such as OpenCL for mobile GPUs promises to open up new types of applications on these devices. However, producing […]

Processor register file (RF) is an important microarchitectural component used for storing operands and results of instructions. The design and operation of RF has crucial impact on the performance, energy efficiency and reliability of the processor and hence, several techniques have been recently proposed to manage RF in modern processors. In this paper, we present […]

Performance and an aspect of it, energy efficiency, has become a key issue in both high performance and embedded computing. The objective of the 1st TAPEMS International Workshop on Theoretical Approaches to Performance Evaluation, Modeling and Simulation is to bring together researchers and practitioners from academia and industry to discuss current advances and trends in […]

Publication: Submissions will be peer reviewed and evaluated based on originality, relevance to conference, contributions, and presentation. Accepted papers of ICICA 2017 will be collected in one of the following publications. A: Conference Proceedings Indexing/Abstracting: DBLP, ProQuest, INSPEC, CNKI, EI Compendex, Scopus etc. B: Journal of Computers (ISSN: 1796-203X) Indexing/Abstracting: DBLP, EBSCO, DOAJ, ProQuest, INSPEC, […]

Publication: ICCAR 2017 conference proceedings will be published by IEEE Conference Publication, which would be indexed by IEEE Xplore and Ei Compendex. Keynote & Plenary Speakers: Prof. Wei-Hsin Liao, The Chinese University of Hong Kong, Hong Kong; Dr. Ferial El-Hawary, Dalhousie U., Canada; Prof. Mo El-Hawary, Dalhousie University, Canada, past president of IEEE Canada. Contact: […]

Publication and Indexing: Accepted and registered papers will be published into the conference proceedings, which will be online and included in the major data base, such as SCOPUS, Ei. Selected papers will be recommended to IJMERR, Indexed by: Index Corpernicus, ProQuest, UDL, Google Scholar, Open J-Gate, Scopus (since 2016) etc. Keynote Speakers: Prof. Wei-Hsin Liao, […]