high performance computing on graphics processing units: hgpu.org

The Bempp boundary element library is a well known library for the simulation of a range of electrostatic, acoustic and electromagnetic problems in homogeneous bounded and unbounded domains. It originally started as a traditional C++ library with a Python interface. Over the last two years we have completely redesigned Bempp as a native Python library, […]

The importance of open-source hardware has been increasing in recent years with the introduction of the RISC-V Open ISA. This has also accelerated the push for support of the open-source software stack from compiler tools to full-blown operating systems. Parallel computing with today’s Application Programming Interfaces such as OpenCL has proven to be effective at […]

The conjugate gradient method for solving certain systems of linear equations is widely used due to its iterative nature and fast convergence. Its boiled down algorithm contains simple matrix and vector operations which can be done in parallel with potential for great speedup. With the advent of GPGPU computing and accompanying programming models like OpenCL, […]

In this study, we focus on data sorting, which is a basic arithmetic operation, and we present a sorting library that can be used with the OpenCL programming model for field-programmable gate arrays (FPGAs). Our sorting library is built by combining three hardware sorting algorithms. It consumes more than twice the overall hardware resources compared […]

Parameter optimization is a common task in various fields such as computational biology. In these scientific fields, optimization can be, e.g. based on ordinary differential equations with the computational task getting increasingly computation-intensive for increasing complexity of ODE and the parameters to determine. Hence, this raises requirements for an efficient treatment on high-performance computing architectures. […]

This paper presents a lightweight, open-source and high-performance python package for solving peridynamics problems in solid mechanics. The development of this solver is motivated by the need for fast analysis tools to achieve the large number of simulations required for `outer-loop’ applications, including sensitivity analysis, uncertainty quantification and optimisation. Our python software toolbox utilises the […]

The Portable Computing Language (PoCL) is a vendor independent open-source OpenCL implementation that aims to support a variety of compute devices in a single platform. Evaluating PoCL versus the Intel OpenCL implementation reveals significant performance drawbacks of PoCL on Intel CPUs – which run 92 % of the TOP500 list. Using a selection of benchmarks, […]

This paper examines an algorithm using dual OpenCL image buffers to optimize data streaming for ensemble processing and visualization. Image buffers were utilized because they allow cached memory access, unlike simple data buffers, which are more commonly used. OpenCL image object performance was improved by allowing upload and mapping into one buffer to occur concurrently […]

In the world of algorithm acceleration and the implementation of deep neural networks’ recall phase, OpenCL based solutions have a clear tendency to produce perfectly adapted kernels in graphic processor unit (GPU) architectures. However, they fail to obtain the same results when applied to field-programmable gate array (FPGA) based architectures. This situation, along with an […]

IWOCL & SYCLcon is the annual gathering of the international community of OpenCL and SYCL developers, researchers, suppliers and Khronos Working Group members to share best practice, and to advance the use and evolution of the Open Computing Language (OpenCL) and the SYCL standard for C++ programming of heterogeneous platforms and their associated ecosystems. This […]

This paper presents Systolic-CNN, an OpenCL-defined scalable, run-time-flexible FPGA accelerator architecture, optimized for accelerating the inference of various convolutional neural networks (CNNs) in multi-tenancy cloud/edge computing. The existing OpenCL-defined FPGA accelerators for CNN inference are insufficient due to limited flexibility for supporting multiple CNN models at run time and poor scalability resulting in underutilized FPGA […]

The use of FPGAs in heterogeneous systems are valuable because they can be used to architect custom hardware to accelerate a particular application or domain. However, they are notoriously difficult to program. The development of high level synthesis tools like OpenCL make FPGA development more accessible, but not without its own challenges. The synthesized hardware […]