high performance computing on graphics processing units: hgpu.org

Deep Convolutional Neural Networks have revolutionized Computer Go. Large networks have emerged as state-of-the-art models for move prediction and are used not only as stand-alone players but also inside Monte Carlo Tree Search to select and bias moves. Using neural networks inside the tree search is a challenge due to their slow execution time even […]

Local visual homing methods are a family of algorithms for visually guided navigation on mobile robots. Within this family, the so-called Min-Warping algorithm yields very precise results but is rather compute-intensive. For this reason, we developed several implementations of this algorithm for different parallel hardware architectures (multi-core CPUs with SIMD extensions, GPUs, FPGA) to arrive […]

PPMLR-MHD is a new magnetohydrodynamics (MHD) model used to simulate the interactions of the solar wind with the magnetosphere, which has been proved to be the key element of the space weather cause-and-effect chain process from the Sun to Earth. Compared to existing MHD methods, PPMLR-MHD achieves the advantage of high order spatial accuracy and […]

This paper analyzes multi-period mortgage risk at loan and pool levels using an unprecedented dataset of over 120 million prime and subprime mortgages originated across the United States between 1995 and 2014, which includes the individual characteristics of each loan, monthly updates on loan performance over the life of a loan, and a number of […]

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 […]

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 […]

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 […]

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 […]