high performance computing on graphics processing units: hgpu.org

This paper puts forward a new FDTD parallel algorithm, which is developed based on the distributed platform, the algorithm was debugged in Shanghai Jiao-tong University for the high performance computing center GPU cluster, "Rubik’s Cube" commercial super computer at Shanghai Supercomputer Center and "divinity blue" domestic super computer platform at the National Supercomputing Center in […]

The programming language Python is widely used to create rapidly compact software. However, compared to low-level programming languages like C or Fortran low performance is preventing its use for HPC applications. Efficient parallel programming of multi-core systems and graphic cards is generally a complex task. Python with add-ons might provide a simple approach to program […]

Motivated by the explosion of Big Data analytics, performance improvements in lowpower (wimpy) systems and the increasing energy efficiency of GPUs, this paper presents a time-energy performance analysis of MapReduce on heterogeneous systems with GPUs. We evaluate the time and energy performance of three MapReduce applications with diverse resource demands on a Hadoop-CUDA framework. As […]

The physical limitations of microprocessor design have forced the industry towards increasingly heterogeneous architectures to extract performance. This trend has not been matched with software tools to cope with such parallelism, leading to a growing disparity between the levels of available performance and the ability for application developers to exploit it. Algorithmic skeletons simplify parallel […]

The main topic of the present thesis is the improvement of fabrication processes simulation by means of the Level Set (LS) method. The LS is a mathematical approach used for evolving fronts according to a motion defined by certain laws. The main advantage of this method is that the front is embedded inside a higher […]

OpenCL and SYCL for OpenCL are open-standard programming models which enable development of parallel programs which target heterogeneous hardware: systems which contain both general-purpose CPUs and accelerator devices such as GPGPUs or Intel Xeon Phi cards. While OpenCL provides a C API, SYCL provides a C++ API and allows programmers to take advantage of many […]

A Particle-In-Cell code is a common particle simulation method often used to simulate the behaviour of plasma. In this work, a parallel PIC code is developed in CUDA, with a focus on how to adapt the method for multiple GPUs. An electrostatic three dimensional PIC code is developed, with an FFT-based solver using the cuFFT […]

Advancements in hardware changed the bottleneck of modern database systems from disk IO to main memory access and processing power. Since the performance of modern processors is primarily limited by a fixed energy budget, hardware vendors are forced to specialize processors. Consequently, processors become increasingly heterogeneous, which already became commodity in the form of accelerated […]

Today advanced computer vision (CV) systems of ever increasing complexity are being deployed in a growing number of application scenarios with strong real-time and power constraints. Current trends in CV clearly show a rise of neural network-based algorithms, which have recently broken many object detection and localization records. These approaches are very flexible and can […]

We present details of our implementation of the Wuppertal adaptive algebraic multigrid code DD-alpha AMG on SIMD architectures, with particular emphasis on the Intel Xeon Phi processor (KNC) used in QPACE 2. As a smoother, the algorithm uses a domain-decomposition-based solver code previously developed for the KNC in Regensburg. We optimized the remaining parts of […]

The CUDA execution model of Nvidia’s GPUs is based on the asynchronous execution of thread blocks, where each thread executes the same kernel in a data-parallel fashion. When threads in different thread blocks need to synchronise and communicate, the whole computation launched onto the GPU needs to be stopped and re-invoked in order to facilitate […]

High Performance Computing (HPC) systems have become widely used tools in many industry areas and research fields. Research to produce more powerful and efficient systems has grown in par with their popularity. As a consequence, the complexity of modern HPC architectures has increased in order to provide systems with the highest levels of performance. This […]